Log in

Relevant bibliographies by topics / Bioinformatics challenges / Journal articles

To see the other types of publications on this topic, follow the link: Bioinformatics challenges.

Journal articles on the topic 'Bioinformatics challenges'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Bioinformatics challenges.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Englbrecht, Claudia, and Axel Facius. "Bioinformatics Challenges in Proteomics." Combinatorial Chemistry & High Throughput Screening 8, no. 8 (2005): 705–15. http://dx.doi.org/10.2174/138620705774962454.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Kanehisa, M. "Grand challenges in bioinformatics." Bioinformatics 14, no. 4 (1998): 309. http://dx.doi.org/10.1093/bioinformatics/14.4.309.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Sander, C. "Bioinformatics - Challenges in 2001." Bioinformatics 17, no. 1 (2001): 1–2. http://dx.doi.org/10.1093/bioinformatics/17.1.1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Fuller, Jonathan C., Pierre Khoueiry, Holger Dinkel, et al. "Biggest challenges in bioinformatics." EMBO reports 14, no. 4 (2013): 302–4. http://dx.doi.org/10.1038/embor.2013.34.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Grace, J. B. "Bioinformatics: Mathematical Challenges and Ecology." Science 275, no. 5308 (1997): 1861c—1865. http://dx.doi.org/10.1126/science.275.5308.1861c.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Godzik, Adam, Jaume Canaves, Slawomir Grzechnik, et al. "Challenges of structural genomics: bioinformatics." BIOSILICO 1, no. 1 (2003): 36–41. http://dx.doi.org/10.1016/s1478-5382(03)02259-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Ranganathan, Shoba. "Bioinformatics Education—Perspectives and Challenges." PLoS Computational Biology 1, no. 6 (2005): e52. http://dx.doi.org/10.1371/journal.pcbi.0010052.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Dimitrov, R. A., and D. E. Gouliamova. "Bioinformatics Education: Perspectives and Challenges." Biotechnology & Biotechnological Equipment 23, sup1 (2009): 40–42. http://dx.doi.org/10.1080/13102818.2009.10818360.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Marz, Manja, Niko Beerenwinkel, Christian Drosten, et al. "Challenges in RNA virus bioinformatics." Bioinformatics 30, no. 13 (2014): 1793–99. http://dx.doi.org/10.1093/bioinformatics/btu105.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Fernald, Guy Haskin, Emidio Capriotti, Roxana Daneshjou, Konrad J. Karczewski, and Russ B. Altman. "Bioinformatics challenges for personalized medicine." Bioinformatics 27, no. 13 (2011): 1741–48. http://dx.doi.org/10.1093/bioinformatics/btr295.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Fernald, G. H., E. Capriotti, R. Daneshjou, K. J. Karczewski, and R. B. Altman. "Bioinformatics challenges for personalized medicine." Bioinformatics 27, no. 16 (2011): 2323. http://dx.doi.org/10.1093/bioinformatics/btr408.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Miyano, Satoru. "OVERCOMING BIOINFORMATICS CHALLENGES WITH SUPERCOMPUTING." Asia-Pacific Biotech News 11, no. 15 (2007): 1036–38. http://dx.doi.org/10.1142/s0219030307001097.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

See-Kiong Ng and Limsoon Wong. "Accomplishments and challenges in bioinformatics." IT Professional 6, no. 1 (2004): 44–50. http://dx.doi.org/10.1109/mitp.2004.1265543.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Sardi, Arif. "Bioinformatics: Challenges in Integrating Biological Information." Jurnal Biologi Tropis 22, no. 4 (2022): 1297–301. http://dx.doi.org/10.29303/jbt.v22i4.4346.

Full text

Abstract:

Bioinformatics has become a buzzword in today's world of science. About twenty or thirty years ago, people saw biology and computer science as two completely different fields. However, at present, it seems that a new bridge has been built that connects these two fields, and this new field is called bioinformatics. Bioinformatics is an challenging and exciting new multidisciplinary field. This field combines methods of statistics, mathematics, computer science and information technology to solve problems based on biological data. Advances in experimental technology have generated large amounts

APA, Harvard, Vancouver, ISO, and other styles

15

Liu, Muyao, Zhihan Lyu, Ciao Zhang, et al. "Bioinformation metaverse: Current status, challenges, and future research themes." Metaverse 6, no. 2 (2025): 2721. https://doi.org/10.54517/m2721.

Full text

Abstract:

<p class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph; line-height: 120%; layout-grid-mode: char; mso-layout-grid-align: none; punctuation-wrap: simple; margin: 12.0pt 0cm 6.0pt 0cm;"><span lang="EN-US" style="font-size: 10.0pt; mso-bidi-font-size: 12.0pt; line-height: 120%; font-family: 'Times New Roman',serif; mso-fareast-language: ZH-CN;">The bioinformation metaverse proposed in this paper is founded on bioinformatics, which takes the big data of biology to collect, filter, display the visual, calculate, merge, simulate, and optimize the big biology prob

APA, Harvard, Vancouver, ISO, and other styles

16

Shrivastava, Umesh Prasad. "Incorporating Bioinformatics into Biological Science in Nepal: Prospects and Challenges." Academic Voices: A Multidisciplinary Journal 2 (June 30, 2013): 78–85. http://dx.doi.org/10.3126/av.v2i1.8294.

Full text

Abstract:

The huge amount of data created by proteomics and genomics studies worldwide has caused bioinformatics to gain prominence and importance for urgency to process and analyze those data. However, its multidisciplinary nature has created a challenge to meet the unique demand for specialist trained in both biology and computing. Several countries, in response to this challenge, have developed a number of manpower training programs. This review presents a description of the meaning, scope, history and development of bioinformatics with focus on prospects and challenges facing bioinformatics educatio

APA, Harvard, Vancouver, ISO, and other styles

17

Valdivia-Granda, Willy A. "Bioinformatics for Biodefense: Challenges and Opportunities." Biosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science 8, no. 1 (2010): 69–77. http://dx.doi.org/10.1089/bsp.2009.0024.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Pop, Mihai, and Steven L. Salzberg. "Bioinformatics challenges of new sequencing technology." Trends in Genetics 24, no. 3 (2008): 142–49. http://dx.doi.org/10.1016/j.tig.2007.12.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Eisenberg, David, Edward Marcotte, Andrew D. McLachlan, and Matteo Pellegrini. "Bioinformatic challenges for the next decade(s)." Philosophical Transactions of the Royal Society B: Biological Sciences 361, no. 1467 (2006): 525–27. http://dx.doi.org/10.1098/rstb.2005.1797.

Full text

Abstract:

The science of bioinformatics has developed in the wake of methods to determine the sequences of the informational macromolecules—DNAs, RNAs and proteins. But in a wider sense, the biological world depends in its every process on the transmission of information, and hence bioinformatics is the fundamental core of biology. We here give a consideration of some of the key problems of bioinformatics in the coming decade, and perhaps longer.

APA, Harvard, Vancouver, ISO, and other styles

20

SoRelle, Jeffrey A., Megan Wachsmann, and Brandi L. Cantarel. "Assembling and Validating Bioinformatic Pipelines for Next-Generation Sequencing Clinical Assays." Archives of Pathology & Laboratory Medicine 144, no. 9 (2020): 1118–30. http://dx.doi.org/10.5858/arpa.2019-0476-ra.

Full text

Abstract:

Context.— Clinical next-generation sequencing (NGS) is being rapidly adopted, but analysis and interpretation of large data sets prompt new challenges for a clinical laboratory setting. Clinical NGS results rely heavily on the bioinformatics pipeline for identifying genetic variation in complex samples. The choice of bioinformatics algorithms, genome assembly, and genetic annotation databases are important for determining genetic alterations associated with disease. The analysis methods are often tuned to the assay to maximize accuracy. Once a pipeline has been developed, it must be validated

APA, Harvard, Vancouver, ISO, and other styles

21

KMS, Rana, Ahammad K, and Salam MA. "Bioinformatics: scope and challenges in aquaculture research of Bangladesh- a review." International Journal of Agricultural Research, Innovation and Technology 10, no. 2 (2020): 137–45. https://doi.org/10.3329/ijarit.v10i2.51587.

Full text

Abstract:

Bioinformatics is one of the ongoing trends of biological research integrating gene based information and computational technology to produce new knowledge. It works to synthesize complex biological information from multiomics data (results of high throughput technologies) by employing a number of bioinformatics tools (software). User convenience and availability are the determining factors of these tools being widely used in bioinformatics research. BLAST<strong>, </strong>FASTA (FAST-All), EMBOSS, ClustalW, RasMol and Protein Explorer, Cn3D, Swiss PDB viewer, Hex, Vega, Bioeditor etc. a

APA, Harvard, Vancouver, ISO, and other styles

22

Park, Se Hoon, and Hong-Hee Won. "Bioinformatics challenges in molecular epidemiology of cancers." Precision and Future Medicine 1, no. 2 (2017): 69–76. http://dx.doi.org/10.23838/pfm.2017.00072.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Qian, Fuliang, Junping Guo, Zhi Jiang, and Bairong Shen. "Translational Bioinformatics for Cholangiocarcinoma: Opportunities and Challenges." International Journal of Biological Sciences 14, no. 8 (2018): 920–29. http://dx.doi.org/10.7150/ijbs.24622.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Butte, Atul J. "Challenges in bioinformatics: infrastructure, models and analytics." Trends in Biotechnology 19, no. 5 (2001): 159–60. http://dx.doi.org/10.1016/s0167-7799(01)01603-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Cannataro, Mario, Rodrigo Weber dos Santos, and Joakim Sundnes. "Biomedical and bioinformatics challenges to computer science." Procedia Computer Science 1, no. 1 (2010): 931–33. http://dx.doi.org/10.1016/j.procs.2010.04.102.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Mooney, Sean D. "Continuing challenges swirl around bioinformatics service delivery." Journal of Biomedical Informatics 94 (June 2019): 103209. http://dx.doi.org/10.1016/j.jbi.2019.103209.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Ma, Tianle. "Integrative and interdisciplinary challenges in translational bioinformatics." ACM SIGBioinformatics Record 4, no. 2 (2014): 1–6. http://dx.doi.org/10.1145/2661732.2661733.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Moore, J. H., F. W. Asselbergs, and S. M. Williams. "Bioinformatics challenges for genome-wide association studies." Bioinformatics 26, no. 4 (2010): 445–55. http://dx.doi.org/10.1093/bioinformatics/btp713.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Hatzimaikatis, Vassily. "Bioinformatics and functional genomics: Challenges and opportunities." AIChE Journal 46, no. 12 (2000): 2340–43. http://dx.doi.org/10.1002/aic.690461202.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Lindblom, Annika, and Peter N. Robinson. "Bioinformatics for Human Genetics: Promises and Challenges." Human Mutation 32, no. 5 (2011): 495–500. http://dx.doi.org/10.1002/humu.21468.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Işık, Esra Büşra, Michelle D. Brazas, Russell Schwartz, et al. "Grand challenges in bioinformatics education and training." Nature Biotechnology 41, no. 8 (2023): 1171–74. http://dx.doi.org/10.1038/s41587-023-01891-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Zafeiropoulos, Haris, Christina Pavloudi, and Evangelos Pafilis. "PEMA v2: addressing metabarcoding bioinformatics analysis challenges." ARPHA Conference Abstracts 4 (March 4, 2021): e64902. https://doi.org/10.3897/aca.4.e64902.

Full text

Abstract:

Environmental DNA (eDNA) and metabarcoding have launched a new era in bio- and eco-assessment over the last years (Ruppert et al. 2019). The simultaneous identification, at the lowest taxonomic level possible, of a mixture of taxa from a great range of samples is now feasible; thus, the number of eDNA metabarcoding studies has increased radically (Deiner and 2017). While the experimental part of eDNA metabarcoding can be rather challenging depending on the special characteristics of the different studies, computational issues are considered to be its major bottlenecks. Among the latter, the bi

APA, Harvard, Vancouver, ISO, and other styles

33

Zhang, Xuan. "Data Integration and Management in Bioinformatics." International Journal of Biology and Life Sciences 7, no. 1 (2024): 16–21. http://dx.doi.org/10.54097/dgqtc422.

Full text

Abstract:

Bioinformatics is an interdisciplinary field that combines biology, computer science, and information technology to understand and analyze biological data. With the development of high-throughput sequencing technology and other biotechnologies, the speed and scale of biological data generation are unprecedented. Effectively integrating and managing these data has become a significant challenge. This paper explores the current state of bioinformatics data integration and management, the challenges faced, commonly used methods and tools, and future development directions.

APA, Harvard, Vancouver, ISO, and other styles

34

Rana, KMS, K. Ahammad, and MA Salam. "Bioinformatics: scope and challenges in aquaculture research of Bangladesh- a review." International Journal of Agricultural Research, Innovation and Technology 10, no. 2 (2021): 137–45. http://dx.doi.org/10.3329/ijarit.v10i2.51587.

Full text

Abstract:

Bioinformatics is one of the ongoing trends of biological research integrating gene based information and computational technology to produce new knowledge. It works to synthesize complex biological information from multiomics data (results of high throughput technologies) by employing a number of bioinformatics tools (software). User convenience and availability are the determining factors of these tools being widely used in bioinformatics research. BLAST, FASTA (FAST-All), EMBOSS, ClustalW, RasMol and Protein Explorer, Cn3D, Swiss PDB viewer, Hex, Vega, Bioeditor etc. are commonly operated b

APA, Harvard, Vancouver, ISO, and other styles

35

de Lorenzo, V., L. Serrano, and A. Valencia. "Synthetic Biology: challenges ahead." Bioinformatics 22, no. 2 (2006): 127–28. http://dx.doi.org/10.1093/bioinformatics/btk018.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Chrysos, Grigorios, Euripides Sotiriades, Christos Rousopoulos, et al. "Reconfiguring the Bioinformatics Computational Spectrum: Challenges and Opportunities of FPGA-Based Bioinformatics Acceleration Platforms." IEEE Design & Test 31, no. 1 (2014): 62–73. http://dx.doi.org/10.1109/mdat.2013.2284191.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Overby, Casey Lynnette, and Peter Tarczy-Hornoch. "Personalized medicine: challenges and opportunities for translational bioinformatics." Personalized Medicine 10, no. 5 (2013): 453–62. http://dx.doi.org/10.2217/pme.13.30.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Tastan Bishop, O., E. F. Adebiyi, A. M. Alzohairy, et al. "Bioinformatics Education--Perspectives and Challenges out of Africa." Briefings in Bioinformatics 16, no. 2 (2014): 355–64. http://dx.doi.org/10.1093/bib/bbu022.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Bani Baker, Qanita, and Maryam S. Nuser. "Bioinformatics in Jordan: Status, challenges, and future directions." PLOS Computational Biology 15, no. 9 (2019): e1007202. http://dx.doi.org/10.1371/journal.pcbi.1007202.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Carter, Tonia C., and Max M. He. "Challenges of Identifying Clinically Actionable Genetic Variants for Precision Medicine." Journal of Healthcare Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/3617572.

Full text

Abstract:

Advances in genomic medicine have the potential to change the way we treat human disease, but translating these advances into reality for improving healthcare outcomes depends essentially on our ability to discover disease- and/or drug-associated clinically actionable genetic mutations. Integration and manipulation of diverse genomic data and comprehensive electronic health records (EHRs) on a big data infrastructure can provide an efficient and effective way to identify clinically actionable genetic variants for personalized treatments and reduce healthcare costs. We review bioinformatics pro

APA, Harvard, Vancouver, ISO, and other styles

41

Mohamed, Sofia B., Sumaya Kambal, Sabah A. E. Ibrahim, et al. "Bioinformatics in Sudan: Status and challenges case study: The National University-Sudan." PLOS Computational Biology 17, no. 10 (2021): e1009462. http://dx.doi.org/10.1371/journal.pcbi.1009462.

Full text

Abstract:

The ever increasing applications of bioinformatics in providing effective interpretation of large and complex biological data require expertise in the use of sophisticated computational tools and advanced statistical tests, skills that are mostly lacking in the Sudanese research community. This can be attributed to paucity in the development and promotion of bioinformatics, lack of senior bioinformaticians, and the general status quo of inadequate research funding in Sudan. In this paper, we describe the challenges that have encountered the development of bioinformatics as a discipline in Suda

APA, Harvard, Vancouver, ISO, and other styles

42

Cannataro, Mario, Rodrigo Weber dos Santos, and Joakim Sundnes. "Biomedical and Bioinformatics Challenges to Computer Science: Bioinformatics, Modeling of Biomedical Systems and Clinical Applications." Procedia Computer Science 4 (2011): 1058–61. http://dx.doi.org/10.1016/j.procs.2011.04.112.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Bulteau, Laurent, and Mathias Weller. "Parameterized Algorithms in Bioinformatics: An Overview." Algorithms 12, no. 12 (2019): 256. http://dx.doi.org/10.3390/a12120256.

Full text

Abstract:

Bioinformatics regularly poses new challenges to algorithm engineers and theoretical computer scientists. This work surveys recent developments of parameterized algorithms and complexity for important NP-hard problems in bioinformatics. We cover sequence assembly and analysis, genome comparison and completion, and haplotyping and phylogenetics. Aside from reporting the state of the art, we give challenges and open problems for each topic.

APA, Harvard, Vancouver, ISO, and other styles

44

Lun, K. C. "New Challenges for Health Informatics." Yearbook of Medical Informatics 13, no. 01 (2004): 181–84. http://dx.doi.org/10.1055/s-0038-1638190.

Full text

Abstract:

Abstract:In March 2001, the International Medical Informatics Association organized a workshop entitled “Challenges in Medical Informatics” in Madrid, Spain. It invited twenty members of the medical* informatics community to discuss current issues relating to the academic standing of the field. The broad objectives of the workshop were (a) to review the relevance of medical informatics as an academic discipline in today’s setting and (b) to examine its impact by the new world economy. One of the issues discussed was to find an appropriate response to the growing emergence of bioinformatics in

APA, Harvard, Vancouver, ISO, and other styles

45

Magana, Alejandra J., Manaz Taleyarkhan, Daniela Rivera Alvarado, Michael Kane, John Springer, and Kari Clase. "A Survey of Scholarly Literature Describing the Field of Bioinformatics Education and Bioinformatics Educational Research." CBE—Life Sciences Education 13, no. 4 (2014): 607–23. http://dx.doi.org/10.1187/cbe.13-10-0193.

Full text

Abstract:

Bioinformatics education can be broadly defined as the teaching and learning of the use of computer and information technology, along with mathematical and statistical analysis for gathering, storing, analyzing, interpreting, and integrating data to solve biological problems. The recent surge of genomics, proteomics, and structural biology in the potential advancement of research and development in complex biomedical systems has created a need for an educated workforce in bioinformatics. However, effectively integrating bioinformatics education through formal and informal educational settings

APA, Harvard, Vancouver, ISO, and other styles

46

Auslander, Noam, Ayal B. Gussow, and Eugene V. Koonin. "Incorporating Machine Learning into Established Bioinformatics Frameworks." International Journal of Molecular Sciences 22, no. 6 (2021): 2903. http://dx.doi.org/10.3390/ijms22062903.

Full text

Abstract:

The exponential growth of biomedical data in recent years has urged the application of numerous machine learning techniques to address emerging problems in biology and clinical research. By enabling the automatic feature extraction, selection, and generation of predictive models, these methods can be used to efficiently study complex biological systems. Machine learning techniques are frequently integrated with bioinformatic methods, as well as curated databases and biological networks, to enhance training and validation, identify the best interpretable features, and enable feature and model i

APA, Harvard, Vancouver, ISO, and other styles

47

Wang, Charles C. N., and Jeffrey J. P. Tsai. "Use of semantics in bio-informatics." Encyclopedia with Semantic Computing and Robotic Intelligence 01, no. 01 (2017): 1630017. http://dx.doi.org/10.1142/s2425038416300172.

Full text

Abstract:

Bioinformatics conceptualizes biological processes in terms of genomics and applies computer science (derived from disciplines such as applied modeling, data mining, machine learning and statistics) to extract knowledge from biological data. This paper introduces the working definitions of bioinformatics and its applications and challenges. We also identify the bioinformatics resources that are popular among bioinformatics analysis, review some primary methods used to analyze bioinformatics problems, and review the data mining, semantic computing and deep learning technologies that may be appl

APA, Harvard, Vancouver, ISO, and other styles

48

Suravajhala, Prashanth, and Alexey Goltsov. "Three Grand Challenges in High Throughput Omics Technologies." Biomolecules 12, no. 9 (2022): 1238. http://dx.doi.org/10.3390/biom12091238.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

M. "Bioinformatics-Assisted Microbiological Research: Tasks, Developments and Upcoming Challenges." American Journal of Bioinformatics 1, no. 1 (2012): 10–19. http://dx.doi.org/10.3844/ajbsp.2012.10.19.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Al Kawam, Ahmad, Arun Sen, Aniruddha Datta, and Nancy Dickey. "Understanding the Bioinformatics Challenges of Integrating Genomics Into Healthcare." IEEE Journal of Biomedical and Health Informatics 22, no. 5 (2018): 1672–83. http://dx.doi.org/10.1109/jbhi.2017.2778263.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!