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Artykuły w czasopismach na temat „Bio-Informatics Study”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Sreeramana, Aithal, and K. Paul P. "Bio Informatics in private universities in India: An Emerging Study on promotion of Biological Information Sciences." International Journal of Bioinformatics and Biological Sciences. 5, no. 1 (2017): 1–7. https://doi.org/10.5281/zenodo.1130818.

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Information Science is an interdisciplinary domain and plays a great role in the development at large. Information Science and Informatics normally treated as a synonym in academia worldwide. Information Science/Informatics is an applied science branch and thus with the combination of other areas and subject created many other knowledge cluster and field viz. Geo Information Science, Chemo Information Sciences, Environmental Information Science. Bio Information Sciences may be considered as a field of intersection of Biology and Information Science. Bio Informatics may be treated as one of the

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J. Cross, K., N. L. Huq, and E. C. Reynolds. "A bio-informatics study of the c25 cysteine protease family." Open Journal of Genetics 02, no. 04 (2012): 18–22. http://dx.doi.org/10.4236/ojgen.2012.24b004.

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Reinecke, S. A. "Old and new tendencies in ecotoxicology: the relevance of stress ecology and ecotoxicogenomics." Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 24, no. 3 (2005): 52–59. http://dx.doi.org/10.4102/satnt.v24i3.175.

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The relatively young science, ecotoxicology, has changed substantially during the last decade from a more practically oriented science to a basic one with more focus on problem solving and the search for causalities in the study of effects. In this article the origin and position of the discipline is analysed, as well as the influence of new developments in the fields of bio-informatics and genetics. The merit of this is discussed and the conclusion made that ecotoxicology can be seen as a separate science, notwithstanding its multidisciplinarity. A review is given of the historic development

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Raghupathi, Wullianallur, and Sridhar Nerur. "The Intellectual Structure of Health and Medical Informatics." International Journal of Healthcare Information Systems and Informatics 5, no. 4 (2010): 20–34. http://dx.doi.org/10.4018/jhisi.2010100102.

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This paper presents the results of an author co-citation analysis of the health and medical informatics discipline. It updates a smaller study that focused on health information systems. Drawing on such sub-fields as bio informatics, clinical decision support systems, computational genomics, e-health, health informatics, and others, this body of knowledge defines the core internal structure of the discipline and delineates its sub-fields. An author co-citation analysis was performed for a nine-year period using the members of editorial boards of several medical informatics-related journals as

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Paul, P. K., R. R. Sinha, P. S. Aithal, Bashiru Aremu, and Ricardo Saavedra. "Agricultural Informatics: An Overview of Integration of Agricultural Sciences and Information Science." Indian Journal of Information Sources and Services 10, no. 1 (2020): 48–55. http://dx.doi.org/10.51983/ijiss-2020.10.1.2832.

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Information Science is an important field of study with the nature of Interdisciplinary Sciences. It is also called as Applied Sciences. The field also synonymously treated and considered as Informatics in different parts of the globe. The branch holds both practicing natures as well as the characteristics of a field of study. Due to its applicability in other subjects and different areas and new subjects have been created viz. Bio Informatics, Geo Informatics, Health Informatics, etc. Among the domain specific Informatics, one important is Agricultural Informatics. In general, it is considere

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Putluri, Srinivasareddy, and Md Zia Ur Rahman. "Efficient Adaptive Exon Prediction for DNA study using Proportionate LMS Variants." International Journal of Engineering & Technology 7, no. 2.17 (2018): 116. http://dx.doi.org/10.14419/ijet.v7i2.17.11721.

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In the field of Bio-informatics, locating the exon fragments in a deoxyribonucleic acid (DNA) sequence is an important and vital work. Study of protein coding regions is a wide phenomenon in identification of diseases and design of drugs. The regions of DNA that have the protein coding information are termed as exons. Hence identifying the exon segments in a genomic sequence is a crucial job in bio-informatics. Three base periodicity (TBP) has been observed in the regions of DNA sequences can be easily determined by applying signal processing methods. Adaptive signal processing techniques foun

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Paul, P. K., R. R. Sinha, P. S. Aithal, Ricardo Saavedra, and Bashiru Aremu. "Agro Informatics with Reference to Features, Functions and Emergence as a Discipline in Agricultural Sciences: An Analysis." Asian Review of Civil Engineering 9, no. 1 (2020): 23–31. http://dx.doi.org/10.51983/tarce-2020.9.1.2290.

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There are many interdisciplinary subjects worldwide and this trend is growing rapidly. Among these subjects, one of the important is Agricultural Information Science. Information Science deals with the nature of Interdisciplinary Sciences and also falls under the category of Applied Sciences. The field is very much synonymously and treated as equal to Informatics in some countries. The branch therefore also called as Agro Informatics and consists with both practicing nature and as a field of study. The applications of IT and Computing in other subjects and areas led to the development of other

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Paulz, P. K., R. R. Sinha, P. S. Aithal, Ricardo Saavedra, and Bashiru Aremu. "Agro Informatics with Reference to Features, Functions and Emergence as a Discipline in Agricultural Sciences: An Analysis." Asian Journal of Information Science and Technology 10, no. 1 (2020): 41–50. http://dx.doi.org/10.51983/ajist-2020.10.1.298.

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There are many interdisciplinary subjects worldwide and this trend is growing rapidly. Among these subjects, one of the important is Agricultural Information Science. Information Science deals with the nature of Interdisciplinary Sciences and falls under the category of Applied Sciences. The field is very much synonymously and treated as equal to Informatics in some countries. The branch therefore also called as Agro Informatics and consists with both practicing nature and as a field of study. The applications of IT and Computing in other subjects and areas led to the development of other subj

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Paul, P. K., and P. S. Aithal. "Bio Informatics in Private Universities in India: An Emerging Study on Promotion of Biological Information Sciences." International Journal of Bioinformatics and Biological Science 5, no. 2 (2017): 69. http://dx.doi.org/10.5958/2321-7111.2017.00010.5.

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Wang, Xuehua, Wei Liu, Huili Li, Jiaxing Ding, Yu Feng, and Zhijian Chen. "Exploring the Role of Obesity in Dilated Cardiomyopathy Based on Bio-informatics Analysis." Journal of Cardiovascular Development and Disease 9, no. 12 (2022): 462. http://dx.doi.org/10.3390/jcdd9120462.

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(1) Background: Obesity is a major risk factor for cardiovascular disease (CVD), contributing to increasing global disease burdens. Apart from heart failure, coronary artery disease, and arrhythmia, recent research has found that obesity also elevates the risk of dilated cardiomyopathy (DCM). The main purpose of this study was to investigate the underlying biological role of obesity in increasing the risk of DCM. (2) Methods: The datasets GSE120895, GSE19303, and GSE2508 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using G

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Hathout, Rania M., Sherweit H. El-Ahmady, and AbdelKader A. Metwally. "Curcumin or bisdemethoxycurcumin for nose-to-brain treatment of Alzheimer disease? A bio/chemo-informatics case study." Natural Product Research 32, no. 24 (2017): 2873–81. http://dx.doi.org/10.1080/14786419.2017.1385017.

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Meyer, R. "A Biomedical Informatics Perspective on Human Factors:." Yearbook of Medical Informatics 21, no. 01 (2012): 65–69. http://dx.doi.org/10.1055/s-0038-1639432.

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Summaryto select and summarize excellent research published during 2011 in the study of human factors in bio-medical informatics.we attempt to derive a synthetic overview of the activity and new trends in this field, from a wide selection of worldwide research papers published during 2011.We selected four papers. The first one presents an international effort aiming to design a guideline for good evaluation practice in health informatics (GEP-HI) [2]. The second reviews medical errors taxonomies from a human factor perspective [3]. The third one advocates the need to systematically perform a d

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Mudaranthakam, Dinesh Pal, Jeffrey Thompson, Jinxiang Hu, et al. "A Curated Cancer Clinical Outcomes Database (C3OD) for accelerating patient recruitment in cancer clinical trials." JAMIA Open 1, no. 2 (2018): 166–71. http://dx.doi.org/10.1093/jamiaopen/ooy023.

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Abstract Data used to determine patient eligibility for cancer clinical trials often come from disparate sources that are typically maintained by different groups within an institution, use differing technologies, and are stored in different formats. Collecting data and resolving inconsistencies across sources increase the time it takes to screen eligible patients, potentially delaying study completion. To address these challenges, the Biostatistics and Informatics Shared Resource at The University of Kansas Cancer Center developed the Curated Cancer Clinical Outcomes Database (C3OD). C3OD mer

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George Priya Doss, C., C. Sudandiradoss, R. Rajasekaran, Rituraj Purohit, K. Ramanathan, and Rao Sethumadhavan. "Identification and structural comparison of deleterious mutations in nsSNPs of ABL1 gene in chronic myeloid leukemia: A bio-informatics study." Journal of Biomedical Informatics 41, no. 4 (2008): 607–12. http://dx.doi.org/10.1016/j.jbi.2007.12.004.

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Ali, Nawaf, Tarek Khalifa, Hifza Iqbal, et al. "Graphical Invariants for some Transformed Networks." European Journal of Pure and Applied Mathematics 17, no. 2 (2024): 690–709. http://dx.doi.org/10.29020/nybg.ejpam.v17i2.5078.

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A topological index is a numerical character associated with a graph that is invariant under graph isomorphism and describe the graphs topology. There are several graph operations that may be used to change it into a new structure, such as constructing a stellation, bounded dual, complement, subdivided, line graph, minor, dual, and medial. In this paper, we construct transformed networks from the concealled non-kekulean benzenoid hydrocarbon structure by applying stellation and bounded dual operations, further we study their degree based topological properties by appropriately labeling the gra

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Karabulut, Fadime. "Emerging trends for Harnessing plant metabolome and microbiome for sustainable food Production." Micro Environer 1, no. 01 (2021): 33–53. http://dx.doi.org/10.54458/mev.v1i01.6672.

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Food production is obligatory to ensure efficient plant yield and accomplishments in a fast-growing global population predicted to exceed 9 trillion people in the future. In this regard, advancement in harnessing plant core microbiome using various 'omics' will be fruitful towards sustainable goals. Metabolomics, as we know, is a robust method and is very useful for evaluating the property of plant species before their genomes are completely sequenced. Metabolomics and other technologies facilitate us to unravel main agricultural output challenges such as regulating the health of soil microbia

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Song, Jun Yi, and Bi Ru Hu. "Phytohormones Act as Information-Bridges between Light and Temperature Signaling Transduction Pathways." Advanced Materials Research 1010-1012 (August 2014): 437–41. http://dx.doi.org/10.4028/www.scientific.net/amr.1010-1012.437.

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To survive an ever-changing environment, plants must respond to changes in the environment constantly and evolve great plasticity to adapt these changes whilst maintaining developmental and growth processes. Light and temperature are two major factors among numerous environmental stimuli. Their regulations are involved in various developmental and metabolic processes. Moreover, studies have revealed that light and temperature regulate physiological processes like seed germination, hypocotyl elongation and flowering synergistically. This indicates connection exists between these two stimuli res

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Raza, Md Thosif, Shagufta Mizan, Farhana Yasmin, Al-Shahriar Akash, and Shah Md Shahik. "Epitope-based universal vaccine for Human T-lymphotropic virus-1 (HTLV-1)." PLOS ONE 16, no. 4 (2021): e0248001. http://dx.doi.org/10.1371/journal.pone.0248001.

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Human T-cell leukemia virus type 1 (HTLV-1) was the first oncogenic human retrovirus identified in humans which infects at least 10–15 million people worldwide. Large HTLV-1 endemic areas exist in Southern Japan, the Caribbean, Central and South America, the Middle East, Melanesia, and equatorial regions of Africa. HTLV-1 TAX viral protein is thought to play a critical role in HTLV-1 associated diseases. We have used numerous bio-informatics and immuno-informatics implements comprising sequence and construction tools for the construction of a 3D model and epitope prediction for HTLV-1 Tax vira

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Wang, Shaoting, Guigang Zhang, Phillip Sheu, Masahiro Hayakawa, Hiroyuki Shigematsu, and Atsushi Kitazawa. "Lossy Graph Data Reduction." International Journal of Semantic Computing 12, no. 03 (2018): 425–56. http://dx.doi.org/10.1142/s1793351x18500022.

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Graphs are widely used nowadays to store complex data of large applications such as social networks, recommendation engines, computer networks, bio-informatics, just to name a few. Graph data reduction plays a very important role in order to store and process such data efficiently. Many studies about graph data reduction have been done, but most of them are focused on lossless reduction in the sense that query results are preserved after reduction. In this paper, we elaborate on the concept of “lossy” graph reduction for applications that may tolerate approximate results with small but bounded

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Rahman, Monzilur, and Md Masud Parvege. "In silico structural analysis of Hantaan virus glycoprotein G2 and conserved epitope prediction for vaccine development." Journal of Applied Virology 3, no. 3 (2014): 62. http://dx.doi.org/10.21092/jav.v3i3.38.

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<p>Hantaan virus (HNTV) is an etiological agent of potentially fatal hemorrhagic fever with renal syndrome (HFRS). The virus infects a large number of patients annually with a mortality rate more than 10%. However, no treatment option or vaccine is available against the virus. Between two envelope proteins, HNTV glycoprotein G2 has higher antigenicity making it a better target for vaccine development. However, 3-D structure of the protein is not available which is important for identifying epitopes that are essential for vaccine design. Therefore, this study was designed to predict a str

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Raghu, Korrapati &. Geetha Manchikalapudi*. "DESIGN AND DEVELOPMENT OF MEDICAL DIAGNOSIS APPLICATION FOR ALZHEIMER'S DISEASE (AD) DIAGNOSIS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 5 (2017): 396–98. https://doi.org/10.5281/zenodo.573576.

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This research aims at conducting a study of computerized application in medical diagnosis with reference to protein-protein interaction analysis of oxidative stress proteins in Alzheimer’s Disease (AD). It can help medical practitioners, representatives and scholars to better understand computer application in medical diagnosis specifically with regard to AD. This study can also offer them with potential topics for further investigation as well as give an idea about areas that are in need for improvement. This study has significance to the medical and healthcare community, as it will contribut

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Meng, Tao, Mei-Ling Shyu, and Lin Lin. "Multimodal Information Integration and Fusion for Histology Image Classification." International Journal of Multimedia Data Engineering and Management 2, no. 2 (2011): 54–70. http://dx.doi.org/10.4018/jmdem.2011040104.

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Biomedical imaging technology has become an important tool for medical research and clinical practice. A large amount of imaging data is generated and collected every day. Managing and analyzing these data sets require the corresponding development of the computer based algorithms for automatic processing. Histology image classification is one of the important tasks in the bio-image informatics field and has broad applications in phenotype description and disease diagnosis. This study proposes a novel framework of histology image classification. The original images are first divided into sever

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Aldemir, Erdoğan, and Hidayet Oğraş. "Increasing of Compression Efficiency for Genomic Data by Manipulating Empirical Entropy." Journal of Physics: Conference Series 2701, no. 1 (2024): 012050. http://dx.doi.org/10.1088/1742-6596/2701/1/012050.

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Abstract Sharing bio-informatics data is the key point to constructing a mobile and effective telemedicine network that brings with it various difficulties. A crucial challenge with this tremendous amount of information is storing it reversibly and analysing terabytes of data. Robust compression algorithms come up with a high rate of text and image compression ratios. However, the achievement of these advanced techniques has remained in a limited range since, intrinsically, the entropy contained by the raw data primarily determines the efficiency of compression. To enhance the performance of a

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Javed, Ambreen, Gulshan Ara Trali, Hassan Burair Abbas, and Alia Sadiq. "IN SILICO CHARACTERIZATION OF HUMAN INTERFERON ALPHA/BETA RECEPTOR 2 (ISOFORM A, B AND C) PROTEIN." PAFMJ 71, no. 6 (2021): 2091–94. http://dx.doi.org/10.51253/pafmj.v71i6.6571.

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Objective: To predict the tertiary structure of human interferon alpha/beta receptor 2 protein. Study Design: Structure prediction by using bio informatics tools. Place and Duration of Study: Department of Biochemistry, Swat Medical College (STMC), Saidu Shareef, Swat, Pakistan, from Aug 2019 to Dec 2019. Methodology: All protein sequences of human interferon alpha/beta receptor 2 (isoforma, b and c) (IFNAR-2) were retrieved through the BLAST search (The Basic Local Alignment Search Tool) from available databases ‘NCBI’ (National Centre for Biotechnology Information) and ‘Uni

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Majeedano, Abdul Qayoom, Jie Chen, Tianhui Zhu, et al. "The First Whole Genome Sequence Discovery of the Devastating Fungus Arthrinium rasikravindrae." Journal of Fungi 8, no. 3 (2022): 255. http://dx.doi.org/10.3390/jof8030255.

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Devastating fungi are one of the most important biotic factors associated with numerous infectious diseases not only in plants but in animals and humans too. Arthrinium rasikravindrae a devastating fungus is responsible for severe infections in a large number of host plants all over the world. In the present study, we analyzed the whole genome sequence of devastating fungus A. rasikravindrae strain AQZ-20, using Illumina Technology from the Novogene Bio-informatics Co., Ltd. Beijing, China. To identify associated annotation results, various corresponding functional annotations databases were u

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Mubeen, Hira, Rubab Zahra Naqvi, Ammara Masood, Mushtaq A. Saleem, Aftab Bashir, and Shahid Raza. "Isolation, Cloning and Characterization of a Constitutive Plant from Potato Aquaporin Gene." Biological Sciences - PJSIR 63, no. 3 (2020): 169–78. http://dx.doi.org/10.52763/pjsir.biol.sci.63.3.2020.169.178.

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Plasma membrane intrinsic proteins (PIP1) are the most common integral membrane proteins belong to a larger family of intrinsic aquaporin proteins. They are member of aquaporin gene family and have gained importance as highly expressed genes in plants. In this study, the promoter of aquaporin PIP1 gene was identified, analyzed and retrieved from high throughput genomic sequence (HTGS) database. The cis-acting regulatory elements, transcription start sites and transcription factor binding sites of selected promoter were identified through different bio-informatics tools. Many light responsive,

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Nidhi Sengar and Amita Goe, Nishant Bansal. "Predicting Breast Cancer Classification Using Various Machine Learning Classification Algorithm." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 282–85. http://dx.doi.org/10.46501/ijmtst061252.

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Cancer diagnosis is one among the foremost studied problems within the medical domain. Several researchers have focused so as to enhance performance and achieve to get satisfactory results. Breast cancer[1] represents the second primary explanation for cancer deaths in women today and has become the foremost common cancer among women both within the developed and therefore the developing world in the last years. Breast cancer diagnosis is used to categorize the patients among benign (lacks ability to invade neighbouring tissue) from malignant (ability to invade neighbouring tissue) categories.

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Deo, Priya N., Revati S. Deshmukh, Akshay H. Gaike, Anu Christopher, Mohak Gujare, and Mitali Inamdar. "Oral microbiome profiles in oral potentially malignant disorders and oral cancer – A diagnostic perspective." Journal of Oral and Maxillofacial Pathology 29, no. 1 (2025): 87–97. https://doi.org/10.4103/jomfp.jomfp_140_24.

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Abstract Background: Dysregulation of the oral microbiome has been correlated with many diseases, but oral microbiome in the etiopathogenesis of oral cancer remains a grey area and needs to be explored. It is imperative to understand the oral microbiome profiles so as to know the variations in the composition from normal to pre-cancer to cancer. Aim: To profile the oral microbiome of normal, oral potentially malignant disorders (leukoplakia – Leu, oral submucous fibrosis – OSMF) and oral squamous cell carcinoma (OSCC) by Next-Generation Sequencing of the 16S ribosomal rRNA gene. Material and M

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Singh, Sukhdeep, Sudhir Rohilla, and Anuj Sharma. "An Inclusive review on deep learning techniques and their scope in handwriting recognition." ELCVIA Electronic Letters on Computer Vision and Image Analysis 24, no. 1 (2025): 51–80. https://doi.org/10.5565/rev/elcvia.1986.

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Deep learning expresses a category of machine learning algorithms that have the capability to combine raw inputs into intermediate features layers. These deep learning algorithms have demonstrated great results in different fields. Deep learning has particularly witnessed for a great achievement of human level performance across a number of domains in computer vision and pattern recognition. For the achievement of state-of-the-art performances in diverse domains, the deep learning used different architectures and these architectures used activation functions to perform various computations bet

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Vakhnin, Aleksei, Evgenii Sopov, and Eugene Semenkin. "On Improving Adaptive Problem Decomposition Using Differential Evolution for Large-Scale Optimization Problems." Mathematics 10, no. 22 (2022): 4297. http://dx.doi.org/10.3390/math10224297.

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Modern computational mathematics and informatics for Digital Environments deal with the high dimensionality when designing and optimizing models for various real-world phenomena. Large-scale global black-box optimization (LSGO) is still a hard problem for search metaheuristics, including bio-inspired algorithms. Such optimization problems are usually extremely multi-modal, and require significant computing resources for discovering and converging to the global optimum. The majority of state-of-the-art LSGO algorithms are based on problem decomposition with the cooperative co-evolution (CC) app

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Hembrom, Anju Angelina, Nilanjana Ghosh, Vinay Kumar, Iti Garg, Lilly Ganju, and Swati Srivastava. "Panel of Regulatory miRNAs for Blood Coagulation under Normoxic and Hypoxic Conditions." Defence Life Science Journal 7, no. 1 (2022): 17–26. http://dx.doi.org/10.14429/dlsj.7.17185.

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Abnormal blood coagulation may lead to venous thromboembolism (VTE), a complex multifactorial disease. Hypoxia (oxygen deprivation) is a major factor disturbing the blood hemostasis and predisposing the body towards coagulation and VTE. Pathophysiology of VTE can be attributed to post-transcriptional gene regulation by microRNAs (miRNAs). The present study identified regulatory miRNAs involved in causing blood coagulation under normoxic and hypoxic conditions. Meta-analysis was performed, following PRISMA guidelines, for identifying miRNAs involved in blood coagulation pathway. Studies evaluat

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Laoong-u-thai, Yanisa, Apinya Nakpradit, and Apiwat Deenumchut. "MOLECULAR CLONING AND BIOINFORMATICS ANALYSIS OF SHRIMP LVPROFILIN IMPLICATED IN MUSCLE FORMATION AND MUSCLE SPECIFIC GENE REGULATION." ASEAN Engineering Journal 1, no. 1 (2012): 28–37. http://dx.doi.org/10.11113/aej.v1.15322.

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Shrimp is the most important seafood product of Thailand, which bring the large income to serve Thai economic. To promote shrimp agriculture, its growth has to be clearly understood. Shrimp growth is controlled by muscle regulatory genes via their signaling protein. To identify muscle growth related genes and study their functions, we achieved the molecular genetic techniques and bio-informatics tools. In particular, we identified an intriguing gene related to muscle regulation in abdominal muscle of pacific white shrimp, Litopenaeus vannamei, named LvProfilin. Its cDNA contains a coding seque

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Firmansyah, Andan, Hendri Tamara Yuda, Tri Antika Rizki Kusuma Putri, et al. "Simple Coaching Clinic to Improve Nurse's Knowledge of Genetic Counseling among Thalassemia Patients of Genetic Counseling among Thalassemia Patients." Genius Journal 5, no. 2 (2024): 147–60. https://doi.org/10.56359/gj.v5i2.281.

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Introduction: The coaching clinic is one of the strategies designed to increase nurses' knowledge in conducting genetic counseling for patients and families of thalassemia patients. Nurses will not only be given information, but they will also be taught how to communicate and how to use genetic counseling to make sure the coaching clinic's goals are met. Objective: This study aims to describes the effect of a simple coaching clinic on nurses' knowledge of genetic counseling implementation in thalassemia care. Methods: This research used a quantitative approach and was conducted on August 20th–

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Zárate, Marcos, Paula Zermoglio, John Wieczorek, Anabela Plos, and Renato Mazzanti. "Linked Open Biodiversity Data (LOBD): A semantic application for integrating biodiversity information." Biodiversity Information Science and Standards 4 (September 28, 2020): e58975. https://doi.org/10.3897/biss.4.58975.

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Scientists frequently collect biological and environmental information over years and store it in database systems to answer their own research questions without exposing it in repositories that make it easy to find and retrieve.While in recent years the community working on biodiversity informatics has made significant strides by creating common shared vocabularies such as the Darwin Core (DwC, Wieczorek et al. 2012) and publishing mechanisms such as the Integrated Publishing Toolkit (IPT, Robertson et al. 2014), integration is largely limited to the aggregation of datasets and full interoper

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Odlaug, Brian L., Francoise Crevel, Nicole Tosun, et al. "39901 Breaking down silos to synergize clinical trial development and initiation: The Clinical Research Support Center, University of Minnesota." Journal of Clinical and Translational Science 5, s1 (2021): 108–9. http://dx.doi.org/10.1017/cts.2021.677.

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ABSTRACT IMPACT: The model of the Clinical Research Support Center at the University of Minnesota of streamlining clinical trial infrastructure can be leveraged by the larger clinical trial community to create valuable efficiencies and facilitate faster initiation of research activities by supporting researchers from concept to dissemination. OBJECTIVES/GOALS: Substantial time, energy, and money are spent bridging disparate resources in research. We describe how the University of Minnesota’s (UMN) Clinical Research Support Center (CRSC) streamlines trial infrastructure, creating valuable effic

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Bergsten, Emma, Denis Mestivier, and Iradj Sobhani. "The Limits and Avoidance of Biases in Metagenomic Analyses of Human Fecal Microbiota." Microorganisms 8, no. 12 (2020): 1954. http://dx.doi.org/10.3390/microorganisms8121954.

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An increasing body of evidence highlights the role of fecal microbiota in various human diseases. However, more than two-thirds of fecal bacteria cannot be cultivated by routine laboratory techniques. Thus, physicians and scientists use DNA sequencing and statistical tools to identify associations between bacterial subgroup abundances and disease. However, discrepancies between studies weaken these results. In the present study, we focus on biases that might account for these discrepancies. First, three different DNA extraction methods (G’NOME, QIAGEN, and PROMEGA) were compared with regard to

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Zhang, X., Y. Bu, B. Zhu, et al. "Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis." Bone & Joint Research 7, no. 4 (2018): 298–307. http://dx.doi.org/10.1302/2046-3758.74.bjr-2017-0245.r1.

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Objectives The aim of this study was to identify key pathological genes in osteoarthritis (OA). Methods We searched and downloaded mRNA expression data from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) of joint synovial tissues from OA and normal individuals. Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analyses were used to assess the function of identified DEGs. The protein-protein interaction (PPI) network and transcriptional factors (TFs) regulatory network were used to further explore the function of identified DE

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Mahjabeen, Amira, Md Zahid Hasan, Md Tanvir Rahman, Md Aminul Islam, Risala Tasin Khan, and M. Shamim Kaiser. "Genetic insights into the connection between pulmonary TB and non-communicable diseases: An integrated analysis of shared genes and potential treatment targets." PLOS ONE 19, no. 10 (2024): e0312072. http://dx.doi.org/10.1371/journal.pone.0312072.

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Background Pulmonary Tuberculosis (PTB) is a significant global health issue due to its high incidence, drug resistance, contagious nature, and impact on people with compromised immune systems. As mentioned by the World Health Organization (WHO), TB is responsible for more global fatalities than any other infectious illness. On the other side, WHO also claims that noncommunicable diseases (NCDs) kill 41 million people yearly worldwide. In this regard, several studies suggest that PTB and NCDs are linked in various ways and that people with PTB are more likely to acquire NCDs. At the same time,

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Patel, Vaibhavi. "Whole Genome Sequencing and Beta-Lactam Resistant Genes in Klebsiella pneumoniae Strains Clinically Isolated from CU Shah Hospital, Gujarat, India." Bioscience Biotechnology Research Communications 14, no. 4 (2021): 1847–54. http://dx.doi.org/10.21786/bbrc/14.4.69.

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A simple explanation for antimicrobial-resistant opportunistic infections in immunocompromised patients is Klebsiella pneumoniae which gradually being associated in insidious infections globally with high mortality rate. Eight hundred fifty-six antibiotic resistant K. pneumoniae isolates were collected over 3 years period (from different wards and different specimens) from the Microbiology department of C.U. Shah hospital, whose AST checked by Kirby Bauer disk diffusion method. To study AMR genes, virulome, interference of virulence gene with resistance gene, phylogenomic; 6 clinical isolates

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Khuntia, Bharat Krushna, Vandna Sharma, Sahar Qazi, et al. "Ayurvedic Medicinal Plants Against COVID-19: An In Silico Analysis." Natural Product Communications 16, no. 11 (2021): 1934578X2110567. http://dx.doi.org/10.1177/1934578x211056753.

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Even after one and a half years since the outbreak of COVID-19, its complete and effective control is still far from being achieved despite vaccination drives, symptomatic management with available drugs, and wider lockdowns. This has inspired researchers to screen potential phytochemicals from medicinal plants against SARS-CoV-2, adopting a bio-informatics approach. The current study aimed to assess anti-viral activity of the phytochemicals derived from Ayurvedic medicinal plants against SARS-CoV-2 drug targets [3-chymotrypsin-like protease (3CLpro) and RNA dependent RNA polymerase (RdRp)] us

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Smith, Vincent, Helen Hardy, and Tara Wainwright. "DiSSCo UK: A new partnership to unlock the potential of 137 million UK-based specimens." Biodiversity Information Science and Standards 6 (August 23, 2022): e91391. https://doi.org/10.3897/biss.6.91391.

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Between September 2021 and March 2022, a consortium across the twelve nations and regions of the United Kingdom (UK), led by the Natural History Museum (NHM), London, participated in a study to develop the business case and plan to support a national programme of natural science collections digitisation. This work, funded by the Arts and Humanities Research Council (AHRC), sought to understand the size and diversity of UK natural science collections; establish the readiness of UK institutions to undertake digitisation; and develop training materials to pilot regional digitisation, building on

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Falcon-de Legal, Edith, Marta Ascurra, Rosa Vega-Paredes, et al. "Germline TP53 p.R337H and XAF1 p.E134* Variants: Prevalence in Paraguay and Comparison with Rates in Brazilian State of Paraná and Previous Findings at the Paraguayan–Brazilian Border." Current Oncology 32, no. 6 (2025): 333. https://doi.org/10.3390/curroncol32060333.

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Adrenal cortex carcinoma (ACC) in children is a rare tumor that is probably of multifactorial origin and is mainly associated with genetic and environmental alterations. In the south and part of the southeast of Brazil, as well as in the Paraguayan region bordering the Brazilian State of Paraná, ACC prevalence is higher than in any other country, which is associated with the high prevalence of the TP53 p.R337H variant in Paraná (0.30%), Santa Catarina (0.249%), cities around Campinas-SP (0.21%), and the Paraguayan cities on the border with Paraná (0.05%). Recent research suggests that the co-s

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Kim, Hyeoneui, Elizabeth Bell, Jihoon Kim, et al. "iCONCUR: informed consent for clinical data and bio-sample use for research." Journal of the American Medical Informatics Association 24, no. 2 (2016): 380–87. http://dx.doi.org/10.1093/jamia/ocw115.

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Background: Implementation of patient preferences for use of electronic health records for research has been traditionally limited to identifiable data. Tiered e-consent for use of de-identified data has traditionally been deemed unnecessary or impractical for implementation in clinical settings. Methods: We developed a web-based tiered informed consent tool called informed consent for clinical data and bio-sample use for research (iCONCUR) that honors granular patient preferences for use of electronic health record data in research. We piloted this tool in 4 outpatient clinics of an academic

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Hossain, Md Arju, Ashik Sharfaraz, Md Imran Hasan, et al. "Molecular docking and pharmacology study to explore bio-active compounds and underlying mechanisms of Caesalpinia bonducella on polycystic ovarian syndrome." Informatics in Medicine Unlocked 33 (2022): 101073. http://dx.doi.org/10.1016/j.imu.2022.101073.

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Tan, Fang, Tianwei Yu, Yuhua Li, Samit Ghosh, Mario Mosunjac, and Solomon F. Ofori-Acquah. "Molecular Phenotype of Sickle Chronic Lung Disease Revealed by Global Gene Expression Profiling." Blood 112, no. 11 (2008): 2480. http://dx.doi.org/10.1182/blood.v112.11.2480.2480.

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Abstract Emerging evidence indicate the concentration of circulating heme in patients who have sickle cell disease (SCD) is sufficient to contribute to vasculopathies such as pulmonary hypertension. Despite this significance, the identity of specific molecules and pathways responsible for heme-induced pulmonary complications in SCD remains poorly understood. This study was conceived with the idea that whole-genome expression profiling offered a rigorous approach to identify specific molecules involved in both pathological and vasculoprotective mechanisms of sickle chronic lung disease. Human p

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Joosen, Pieter, Deborah Piette, Joren Buekers, Joachim Taelman, Daniel Berckmans, and Patrick De Boever. "A smartphone-based solution to monitor daily physical activity in a care home." Journal of Telemedicine and Telecare 25, no. 10 (2018): 611–22. http://dx.doi.org/10.1177/1357633x18790170.

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Introduction In an ageing population, increasing chronic disease prevalence puts a high economic burden on society. Physical activity plays an important role in disease prevention and should therefore be promoted in the elderly. Methods In this study, a mobile health (mHealth) system was implemented in a care home setting to monitor and promote elderly peoples’ daily activity. The physical activity of 20 elderly people (8 female and 12 male, aged 81 ± 9 years old) was monitored over 10 weeks using the mHealth system, consisting of a smartphone and heart rate belt. Feedback on physical activity

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Nirmala, S., and Dr S.P. "A study on Feature Selection Techniques in Bio-Informatics." International Journal of Advanced Computer Science and Applications 2, no. 1 (2011). http://dx.doi.org/10.14569/ijacsa.2011.020121.

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P., K. Paul, Saavedra Ricardo, and S. Aithal P. "Environmental, Agricultural & Social Informatics Specializations and its Potentialities at Engineering Degrees - An Indian Context." October 11, 2021. https://doi.org/10.5281/zenodo.5560239.

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Informatics is an important field of practice and study. It is very similar and also close to Information Science. Informatics initially only were considered as a branch of advanced applied science but gradually it has become a domain centric field for information and technological solutions. Among the most common and available Informatics nomenclature important are Health Informatics, Bio Informatics, Geo Informatics, etc. The advent of IT and Computing in the field of Environmental Sciences and the whole sector leads Environmental Informatics as an important interdisciplinary field of studie

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Paul, P. K. "Economical, Financial and Allied Concerns in healthy Agricultural Information Systems Practice: The Context of Developing Countries." Economic Affairs 68, no. 4 (2023). http://dx.doi.org/10.46852/0424-2513.4.2023.25.

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"Informatics is a domain not only for practicing but also a field of study which is really dedicated to study about the information activities such as collection, selection, organization, processing, management and delivery using technologies. The utilization of Informatics in various fields and sectors responsible in developing other domain focused areas and fields such as Bio Informatics, Health Informatics, Geo Informatics, Agricultural Informatics, and so on. Agricultural Informatics is also called as Agricultural Information Technologies and Agricultural Information Science which is simpl

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P., K. Paul, R. Sinha R., S. Aithal P., Aremu Bashiru, and Saavedra Ricardo. "Agricultural Informatics: An Overview of Integration of Agricultural Sciences and Information Science." November 4, 2020. https://doi.org/10.5281/zenodo.4243760.

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Information Science is an important field of study with the nature of Interdisciplinary Sciences. It is also called as Applied Sciences. The field also synonymously treated and considered as Informatics in different parts of the globe. The branch holds both practicing natures as well as the characteristics of a field of study. Due to its applicability in other subjects and different areas and new subjects have been created viz. Bio Informatics, Geo Informatics, Health Informatics, etc. Among the domain specific Informatics, one important is Agricultural Informatics. In general, it is considere

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