Relevant bibliographies by topics / Biotechnology, bioinformatics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Biotechnology, bioinformatics'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Biotechnology, bioinformatics"

1

Kangueane, Pandjassarame. "Biotechnology, Bioinformatics and BIOINFORMATION in an autobiography." Bioinformation 16, no. 1 (2020): 39–50. http://dx.doi.org/10.6026/97320630016039.

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Kangueane, Pandjassarame. "Biotechnology, Bioinformatics and BIOINFORMATION in an autobiography." Bioinformation 16, no. 1 (2020): 39–50. http://dx.doi.org/10.6026/97320630016050.

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Tabassum Khan, Nida. "The Emerging Role of Bioinformatics in Biotechnology." Journal of Biotechnology and Biomedical Science 1, no. 3 (2018): 13–24. http://dx.doi.org/10.14302/issn.2576-6694.jbbs-18-2173.

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Bioinformatic tools is widely used to manage the enormous genomic and proteomic data involving DNA/protein sequences management, drug designing, homology modelling, motif/domain prediction ,docking, annotation and dynamic simulation etc. Bioinformatics offers a wide range of applications in numerous disciplines such as genomics. Proteomics, comparative genomics, nutrigenomics, microbial genome, biodefense, forensics etc. Thus it offers promising future to accelerate scientific research in biotechnology
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Puehler, A., and W. Selbitschka. "Bioinformatics for biotechnology and biomedicine." Journal of Biotechnology 232 (August 2016): 1. http://dx.doi.org/10.1016/j.jbiotec.2016.06.020.

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Samanta, Tuhin. "Bioinformatics and Its Scope in Biotechnology." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (2019): 3264–71. http://dx.doi.org/10.22214/ijraset.2019.4547.

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Giuliani, Alessandro. "Editorial (Thematic Issue: Bioinformatics and Biotechnology)." Current Biotechnology 4, no. 1 (2015): 2–3. http://dx.doi.org/10.2174/221155010401150511162106.

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Whitfield, Eleanor J., Manuela Pruess, and Rolf Apweiler. "Bioinformatics database infrastructure for biotechnology research." Journal of Biotechnology 124, no. 4 (2006): 629–39. http://dx.doi.org/10.1016/j.jbiotec.2006.04.006.

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Palsson, Bernhard O. "Bioinformatics: What lies beyond bioinformatics?" Nature Biotechnology 15, no. 1 (1997): 3–4. http://dx.doi.org/10.1038/nbt0197-3.

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Venning, Maurice, and Takao Yukawa. "Biotechnology in Japan." Asia-Pacific Biotech News 09, no. 18 (2005): 930–40. http://dx.doi.org/10.1142/s0219030305000273.

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The article discusses the Japanese Biotechnology market which lists human health, agri-food, bioprocess, environment, biotools and bioinformatics as the main industries. It shows a map of structural reorganization in Japan. It also discusses the areas of improvement of the Japanese market.
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Mazumdar-Shaw, Kiran. "The Value Proposition of Indian Biotechnology." Asia-Pacific Biotech News 09, no. 18 (2005): 924–29. http://dx.doi.org/10.1142/s0219030305000261.

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The article written by a very experienced veteran in the biotechnology sector, Dr Mazumdar Shaw describes India's biopharma sector and also shows a sectoral roadmap. It touches on agriculture and food biotechnology, industrial biotechnology, diagnostic biotechnology, regenerative medicine, therapeutic biotechnology, pharmaocogenomics, nanotechnology and bioinformatics.
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Dissertations / Theses on the topic "Biotechnology, bioinformatics"

1

Schröder, Michael, Rainer Winnenburg, and Conrad Plake. "Improved mutation tagging with gene identifiers applied to membrane protein stability prediction." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-177379.

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Background The automated retrieval and integration of information about protein point mutations in combination with structure, domain and interaction data from literature and databases promises to be a valuable approach to study structure-function relationships in biomedical data sets. Results We developed a rule- and regular expression-based protein point mutation retrieval pipeline for PubMed abstracts, which shows an F-measure of 87% for the mutation retrieval task on a benchmark dataset. In order to link mutations to their proteins, we utilize a named entity recognition algorithm for the identification of gene names co-occurring in the abstract, and establish links based on sequence checks. Vice versa, we could show that gene recognition improved from 77% to 91% F-measure when considering mutation information given in the text. To demonstrate practical relevance, we utilize mutation information from text to evaluate a novel solvation energy based model for the prediction of stabilizing regions in membrane proteins. For five G protein-coupled receptors we identified 35 relevant single mutations and associated phenotypes, of which none had been annotated in the UniProt or PDB database. In 71% reported phenotypes were in compliance with the model predictions, supporting a relation between mutations and stability issues in membrane proteins. Conclusion We present a reliable approach for the retrieval of protein mutations from PubMed abstracts for any set of genes or proteins of interest. We further demonstrate how amino acid substitution information from text can be utilized for protein structure stability studies on the basis of a novel energy model.
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Barbella, Alexandra R. "IDENTIFYING CHROMOSOME REARRANGEMENTS IN THE ALLOPOLYPLOID BRASSICA NAPUS USING PYROSEQUENCING." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1126.

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Allopolyploids form through the hybridization of two or more diploid genomes. A challenge to reproduction in allopolyploids is that pairing can occur between homologous chromosomes or homeologous chromosomes (i.e.different subgenomes.). Crossover between homeologous chromosomes can result in chromosome rearrangements that lower fertility and overall fitness. Rearrangements can alter the dosage of either entire chromosomes or just parts of chromosomes. Understanding the frequency and extent of rearrangements will help to explain the evolution and genome stabilization of agriculturally important allopolyploid species. Pyrosequencing is a useful tool in the study dosage changes in allopolyploids because it allows quantification of the relative contribution from each progenitor species at any given locus. Here we use pyrosequencing to analyze resynthesized Brassica napus allopolyploids and their progeny. Targets for pyrosequencing were identified using a bioinformatic approach taking advantage of recently-released Brassica genome sequence. SNPs identified through bioinformatics were confirmed through molecular biology. Markers along the A3/C3 homeolog pair were used to identify the occurrence of novel homeologous exchanges during meiosis in the parent plant, and segregation patterns arising from dosage changes in the parent. We identify a higher frequency of homeologous rearrangements at the distal end of the chromosomes. We also observe that the presence of a dosage change in a parent increases the likelihood that the chromosome bearing the dosage change will undergo subsequent rearrangements in neighboring loci.
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Haughey, Caitlin, Lauri Mesilaakso, Erik Berner-Wik, Emma Östlund, Jonatan Ulfsparre, and Hampus Olin. "Probes for ESBL : A Method for Production of Probe Targets in Antibiotic Resistant Genes." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-323686.

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This project aimed to find a method for producing potential probe targets for identification of ESBL (Extended Spectrum Beta Lactamase) genes in bacteria. ESBLs are a type of enzymes responsible for antibiotic resistance in many bacteria. The result we developed was a semi-automated pipeline that utilises several Perl scripts to download gene sequences, identify sequence subgroups based on sequence similarity, find common target sequences among them and screen the target sequences against a background database. These target sequences should work with padlock probes and therefore had specific requirements regarding length and highest number of allowed mismatches. This report includes descriptions of the scripts and ideas for future improvements, as well as an ethical analysis about aspects relevant to research on antibiotic resistance.
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Milani, Renato 1985. "Desenvolvimento de um pipeline para analise em larga escala de um chip de proteinas quinases." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/314742.

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Orientadores: Eduardo Galembeck, Carmen Verissima Ferreira<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Biologia<br>Made available in DSpace on 2018-08-15T15:43:32Z (GMT). No. of bitstreams: 1 Milani_Renato_M.pdf: 4434069 bytes, checksum: f6dd6ae86e6b3ac6b79f8c4b28828a91 (MD5) Previous issue date: 2010<br>Resumo: A atividade de proteínas quinases é responsável pela regulação de muitos processos biológicos através de cascatas de sinalização que levam a diferentes efeitos celulares. No entanto, a análise da reação de fosforilação reversível catalisada por estas enzimas e prejudicada pela complexidade inerente as interações entre proteínas neste sistema de sinalização. Consequentemente, o foco em uma única proteína quinase pode não ser suficiente para revelar completamente os mecanismos por trás dos fenótipos observados. Nesse sentido, em conjunto com outras técnicas de análise em larga-escala como chips de expressão de mRNA, arranjos de peptídios contendo substratos de proteínas quinases vem sendo cada vez mais utilizados por pesquisadores. No entanto, a falta de uniformidade na análise estatística desses chips tem sido um grande empecilho à obtenção de dados relevantes com o uso dessa técnica. Por conta disso, o objetivo desse trabalho foi desenvolver uma metodologia, chamada de PepMatrix, capaz de aplicar estatística básica de forma automatizada visando a seleção de replicações com baixa variabilidade e a obtenção da anotação das proteínas envolvidas nos eventos de fosforilação ocorridos no chip. Esse novo método foi aplicado em vários conjuntos de dados de diferentes experimentos biológicos e seus resultados revelaram atividades quinásicas significativamente alteradas, muitas das quais tiveram confirmação por Western blot. Alem disso, os resultados ressaltaram a importância da análise sistêmica dos eventos de sinalização celular em conjunto com uma análise crítica das replicações. O alto grau de uniformidade analítica obtido por esse método faz com que ele seja uma poderosa e confiável ferramenta na análise quinômica em larga-escala<br>Abstract: The activity of protein kinases governs many biological processes through signaling cascades that lead to distinct outputs, from homeostasis to disease. However, analysis of the reversible phosphorylation perpetrated by these enzymes is hindered by the inherent complexity of interactions in this signaling system. Consequently, focusing on a single kinase may not be enough to completely unfold the mechanisms behind observed phenomena. In this sense, together with other omics approaches like mRNA expression analysis, peptide arrays have shown increasing popularity, particularly ones containing kinase substrate sequences. The lack of uniformity in statistical analysis of these chips, though, has been a major issue for the field. In this paper, we propose PepMatrix, a fast and accurate method for selecting so called "reliable replicate spots" and automatically retrieving differential activity and annotation information about phosphorylation events identified in a peptide array of kinase substrates. Here, we present several cases where this new methodology was applied to biological datasets. We successfully identified putative up and down-regulated kinases, many of which were confirmed to have altered activity by Western blot. Moreover, the results emphasized the need for a true systems biology approach to the cellular signaling events alongside a critical replicate selection method. The high degree of analysis uniformity we achieved with this method provides a powerful and reliable addition for high-throughput kinome analysis<br>Mestrado<br>Bioquimica<br>Mestre em Biologia Funcional e Molecular
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Hatherley, Rowan. "Structural bioinformatics studies and tool development related to drug discovery." Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/d1020021.

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This thesis is divided into two distinct sections which can be combined under the broad umbrella of structural bioinformatics studies related to drug discovery. The first section involves the establishment of an online South African natural products database. Natural products (NPs) are chemical entities synthesised in nature and are unrivalled in their structural complexity, chemical diversity, and biological specificity, which has long made them crucial to the drug discovery process. South Africa is rich in both plant and marine biodiversity and a great deal of research has gone into isolating compounds from organisms found in this country. However, there is no official database containing this information, making it difficult to access for research purposes. This information was extracted manually from literature to create a database of South African natural products. In order to make the information accessible to the general research community, a website, named “SANCDB”, was built to enable compounds to be quickly and easily searched for and downloaded in a number of different chemical formats. The content of the database was assessed and compared to other established natural product databases. Currently, SANCDB is the only database of natural products in Africa with an online interface. The second section of the thesis was aimed at performing structural characterisation of proteins with the potential to be targeted for antimalarial drug therapy. This looked specifically at 1) The interactions between an exported heat shock protein (Hsp) from Plasmodium falciparum (P. falciparum), PfHsp70-x and various host and exported parasite J proteins, as well as 2) The interface between PfHsp90 and the heat shock organising protein (PfHop). The PfHsp70-x:J protein study provided additional insight into how these two proteins potentially interact. Analysis of the PfHsp90:PfHop also provided a structural insight into the interaction interface between these two proteins and identified residues that could be targeted due to their contribution to the stability of the Hsp90:Hop binding complex and differences between parasite and human proteins. These studies inspired the development of a homology modelling tool, which can be used to assist researchers with homology modelling, while providing them with step-by-step control over the entire process. This thesis presents the establishment of a South African NP database and the development of a homology modelling tool, inspired by protein structural studies. When combined, these two applications have the potential to contribute greatly towards in silico drug discovery research.
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Jahn, Katharina [Verfasser]. "Approximate common intervals based gene cluster models / Katharina Jahn. International NRW Graduate School in Bioinformatics and Genome Research -- Center for Biotechnology (CeBiTec). Technische Fakultät." Bielefeld : Universitätsbibliothek Bielefeld, Hochschulschriften, 2011. http://d-nb.info/1012868842/34.

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Yan, Erfu. "BIOSYNTHETIC MECHANISM OF THE ANTIBIOTIC CAPURAMYCIN." UKnowledge, 2018. https://uknowledge.uky.edu/pharmacy_etds/92.

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A-102395 is a member of the capuramycin family of antibiotics which was isolated from the culture broth of Amycolatopsis sp. SANK 60206. A-102339 is structurally classified as a nucleoside antibiotic, which like all members of the capuramycin family, inhibits bacterial MraY (translocase I) with IC50 of 11 nM which is the lowest among the capuramycin family. A semisynthetic derivative of capuramycin is currently in clinical trials as an antituberculosis antibiotic, suggesting high potential for using A-102395 as a starting point for new antibiotic discovery. In contrast to other capuramycins, A-102395 has a unique arylamine-containing polyamide side chain. The biosynthetic gene cluster of A-102395 was previously identified and includes 35 putative open reading frames responsible for biosynthesis and resistance. Presently, there are no reports focused on the biosynthesis of this polyamide chain. Here we present the functional assignment and biochemical characterization of seven proteins, Cpr33-38 and Cpr12, that initiate the biosynthesis of the polyamide. Functional characterization of Cpr38, which has sequence similarity to the gene products encoded by pabA and pabB from E. coli, revealed that it functions as a 4-amino-4-deoxychorismate (ADC) synthase catalyzing a two-step reaction involving amidohydrolysis of L-Gln with ammonia channeled and incorporated into chorismic acid to generate ADC. Cpr12, encoded by a gene that was originally proposed to be outside the gene cluster and sharing similarity to proteins annotated as ADC lyase, was revealed to catalyze the elimination of pyruvate to form PABA. Cpr36 is demonstrated to function as a free-standingpeptidyl carrier protein (PCP), which is activated to form holo-protein from the apo-form. Cpr37, which belongs to the adenylation domain protein in the nonribosomal peptide synthase (NRPS), subsequently activates PABA and loads it to holo-Cpr36 Two proteins Cpr34 and Cpr35 work in concert to catalyze decarboxylative condensation between a thioester linked PABA and malonyl-S-acyl carrier protein (ACP) during aromatic polyketide biosynthesis catalyzed by type II polyketide synthases. Following condensation, Cpr33 acts as 3-oxoacyl-ACP reductase that catalyzes reduction to the β-hydroxythioester intermediate. In this scenario, hydride is predicted to be added to the re face to generate the S configuration resulting in the same stereochemical outcome as other 3-oxoacyl-ACP reductase (FabG) from bacterial type II fatty acid synthases.These findings are critical advancement for interrogating the biosynthesis of the unusual chemical components of the family of antibiotics of capuramycin.
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Brohée, Sylvain. "Etude bioinformatique du réseau d'interactions entre protéines de transport ches les Fungi." Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210432.

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Les protéines associées aux membranes sont d'une importance cruciale pour la cellule. Cependant, en raison d'une plus grande difficulté de manipulation, les données biochimiques les concernant sont très lacunaires, notamment au point de vue de la formation de complexes entre ces protéines.<p><p>L'objectif global de notre travail consiste à combler ces lacunes et à préciser les interactions entre protéines membranaires chez la levure Saccharomyces cerevisiae et plus précisément, entre les transporteurs. Nous avons commencé notre travail par l'étude d'un jeu de données d'interactions à grande échelle entre toutes les perméases détectées par une méthode de double hybride spécialement adaptée aux protéines insolubles (split ubiquitin). Premièrement, la qualité des données a été estimée en étudiant le comportement global des données et des témoins négatifs et positifs. Les données ont ensuite été standardisées et filtrées de façon à ne conserver que les plus significatives. Ces interactions ont ensuite été étudiées en les modélisant dans un réseau d'interactions que nous avons étudié par des techniques issues de la théorie des graphes. Après une évaluation systématique de différentes méthodes de clustering, nous avons notamment recherché au sein du réseau des groupes de protéines densément interconnectées et de fonctions similaires qui correspondraient éventuellement à des complexes protéiques. Les résultats révélés par l'étude du réseau expérimental se sont révélés assez décevants. En effet, même si nous avons pu retrouver certaines interactions déjà décrites, un bon nombre des interactions filtrées semblait n'avoir aucune réalité biologique et nous n'avons pu retrouver que très peu de modules de protéines de fonction semblable hautement inter-connectées. Parmi ceux-ci, il est apparu que les transporteurs d'acides aminés semblaient interagir entre eux.<p><p>L'approche expérimentale n'ayant eu que peu de succès, nous l'avons contournée en utilisant des méthodes de génomique comparative d'inférence d'interactions fonctionnelles. Dans un premier temps, malgré une évaluation rigoureuse, l'étude des profils phylogénétiques (la prédiction d'interactions fonctionnelles en étudiant la corrééélation des profils de présence - absence des gènes dans un ensemble de génomes), n'a produit que des résultats mitigés car les perméases semblent très peu conservées dès lors que l'on considère d'autres organismes que les \<br>Doctorat en Sciences<br>info:eu-repo/semantics/nonPublished
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Schröder, Michael, Rainer Winnenburg, and Conrad Plake. "Improved mutation tagging with gene identifiers applied to membrane protein stability prediction." BioMed Central, 2009. https://tud.qucosa.de/id/qucosa%3A28888.

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Background The automated retrieval and integration of information about protein point mutations in combination with structure, domain and interaction data from literature and databases promises to be a valuable approach to study structure-function relationships in biomedical data sets. Results We developed a rule- and regular expression-based protein point mutation retrieval pipeline for PubMed abstracts, which shows an F-measure of 87% for the mutation retrieval task on a benchmark dataset. In order to link mutations to their proteins, we utilize a named entity recognition algorithm for the identification of gene names co-occurring in the abstract, and establish links based on sequence checks. Vice versa, we could show that gene recognition improved from 77% to 91% F-measure when considering mutation information given in the text. To demonstrate practical relevance, we utilize mutation information from text to evaluate a novel solvation energy based model for the prediction of stabilizing regions in membrane proteins. For five G protein-coupled receptors we identified 35 relevant single mutations and associated phenotypes, of which none had been annotated in the UniProt or PDB database. In 71% reported phenotypes were in compliance with the model predictions, supporting a relation between mutations and stability issues in membrane proteins. Conclusion We present a reliable approach for the retrieval of protein mutations from PubMed abstracts for any set of genes or proteins of interest. We further demonstrate how amino acid substitution information from text can be utilized for protein structure stability studies on the basis of a novel energy model.
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Eriksson, Linnea. "Deep Learning Models for Profiling of Kinase Inhibitors." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-416247.

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With the advent of fluorescence microscopy and image analysis, quantitative information from images can be extracted and changes in cell morphology can be studied. Microscopy-based morphological profiling assays with multiplexed fluorescent dyes, like Cell Painting, can be used for this purpose. It has been shown that morphological profiles can be used to train AI models to classify images into different biological mechanisms. Hence, the goal of this project was to study the possibilities for Deep Learning models and Convolutional Neural Networks to distinguish between different classes of kinase inhibitors based on their morphological profiles. Three different Convolutional Neural Network architectures were used: ResNet50, MobileNetV2, and VGG16. They were trained with two different inputs and two different optimisers: Adam and SGD. Also, a comparison between the performances with and without Transfer Learning through ImageNet weights was executed. The results indicate that MobileNetV2 with Adam as an optimiser performed the best, with a micro average of 0.93 and higher ROC areas compared to the other models. The study also highlighted the importance of utilizing Transfer Learning.
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Books on the topic "Biotechnology, bioinformatics"

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Bisbee, Chester Allan. Bioinformatics: Biotechnology enters the information age. International Business Communications, 1997.

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North Carolina Symposium on Biotechnology and Bioinformatics (2004 Research Triangle Park, N.C.). Technology for life: North Carolina Symposium on Biotechnology and Bioinformatics--2004 : proceedings : October 12-15, 2004, Research Triangle Park, North Carolina. IEEE, 2004.

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Biotechnology and bioinformatics: Advances and applications for bioenergy, bioremediation, and biopharmaceutical research. Apple Academic Press, 2015.

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Systems biology and biotechnology of Escherichia coli. Springer, 2009.

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Pool, Robert. Bioinformatics: Converting data to knowledge : a workshop summary. National Academy Press, 2000.

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Campbell, A. Malcolm. Discovering genomics, proteomics, and bioinformatics. 2nd ed. CSHL Press, 2007.

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J, Heyer Laurie, ed. Discovering genomics, proteomics, and bioinformatics. 2nd ed. CSHL Press, 2007.

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Bioinformatics law: Legal issues for computational biology in the post-genome era. ABA Secton of Science & Technology Law, 2013.

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Zhou, Xiaobo. Computational systems bioinformatics: Methods and biomedical applications. World Scientific, 2008.

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Ovidio, Salvetti, and SpringerLink (Online service), eds. Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry: International Conferences MDA 2006/2007, Leipzig, Germany, July 18, 2007. Selected Papers. Springer-Verlag Berlin Heidelberg, 2007.

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Book chapters on the topic "Biotechnology, bioinformatics"

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Ramanathan, Chandra S., and Daniel B. Davison. "Pharmaceutical Bioinformatics and Drug Discovery." In Biotechnology. Wiley-VCH Verlag GmbH, 2008. http://dx.doi.org/10.1002/9783527620876.ch5.

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Parthasarathy, S. "Bioinformatics: Application to Genomics." In Plant Biology and Biotechnology. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2283-5_13.

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Malviya, Neha, Sangeeta Yadav, and Dinesh Yadav. "Bioinformatics Intervention in Plant Biotechnology: An Overview." In Plant Biotechnology: Progress in Genomic Era. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8499-8_8.

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Ali, Mahmoud A., Athanasios Alexiou, and Ghulam Md Ashraf. "Biotechnology and Bioinformatics Applications in Alzheimer’s Disease." In Biological, Diagnostic and Therapeutic Advances in Alzheimer's Disease. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9636-6_12.

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Al-Obaidi, Jameel R. "Proteoinformatics and Agricultural Biotechnology Research: Applications and Challenges." In Essentials of Bioinformatics, Volume III. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19318-8_1.

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Kusonmano, Kanthida. "Gene Expression Analysis Through Network Biology: Bioinformatics Approaches." In Advances in Biochemical Engineering/Biotechnology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/10_2016_44.

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Srivastava, Mugdha, Neha Malviya, and Thomas Dandekar. "Application of Biotechnology and Bioinformatics Tools in Plant–Fungus Interactions." In Plant Biology and Biotechnology. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2283-5_3.

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Tomar, Jinny. "Bioinformatics: A New Insight Tool to Deal with Environment Management." In Environmental Microbiology and Biotechnology. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7493-1_8.

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Thatoi, H. N., and S. K. Pradhan. "Detoxification and Bioremediation of Hexavalent Chromium Using Microbes and Their Genes: An Insight into Genomic, Proteomic and Bioinformatics Studies." In Microbial Biotechnology. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6847-8_13.

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des Francs-Small, C. Colas, B. Szurek, and I. Small. "Proteomics, Bioinformatics and Genomics Applied to Plant Organelles." In Molecular Biology and Biotechnology of Plant Organelles. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-3166-3_7.

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Conference papers on the topic "Biotechnology, bioinformatics"

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"Current Challenges in Plant Genetics, Genomics, Bioinformatics, and Biotechnology." In PlantGen2019 The Fifth International Scientific Conference. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences Novosibirsk State University, 2019. http://dx.doi.org/10.18699/icg-plantgen2019-82.

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"Haploid biotechnology in the selection of Triticum aestivum L." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 2019. http://dx.doi.org/10.18699/plantgen2019-012.

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Ho, Michael Shan-Hui, Kun-Yu Hung, Chaochang Chiu, and Yu-Shiang Gen. "DNA Sequence Assembly with Bioinformatics Shotgun Method." In 2012 International Conference on Biomedical Engineering and Biotechnology (iCBEB). IEEE, 2012. http://dx.doi.org/10.1109/icbeb.2012.157.

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"Structural and functional characterization of transcription factor binding sites: from bioinformatics to hormone biosensors." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Novosibirsk ICG SB RAS 2021, 2021. http://dx.doi.org/10.18699/plantgen2021-038.

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Martin, Stephen. "Annual International Conference on BioInformatics and Computational Biology / Advances in Biotechnology." In Annual International Conference on BioInformatics and Computational Biology / Advances in Biotechnology. Global Science & Technology Forum (GSTF), 2011. http://dx.doi.org/10.5176/978-981-08-8227-3_bicb-biotech-2011.

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"Technology For Life: North Carolina Symposium on Biotechnology and Bioinformatics - 2004." In Technology for Life: North Carolina Symposium on Biotechnology and Bioinformatics - 2004. IEEE, 2004. http://dx.doi.org/10.1109/sbb.2004.1364351.

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"Bioinformatics analysis of the structures of CRISPR/Cas-systems in the genomes of phytopathogenic bacteria." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 2019. http://dx.doi.org/10.18699/plantgen2019-139.

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"Plant virus genome studies using novel databases and bioinformatics tools for text compression and entropy." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Novosibirsk ICG SB RAS 2021, 2021. http://dx.doi.org/10.18699/plantgen2021-080.

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"New antimicrobial gene promoters from chickweed (Stellaria media) for biotechnology of cultivated plants." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 2019. http://dx.doi.org/10.18699/plantgen2019-048.

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"Anatomo-morphological stem features of spring bread wheat varieties." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 2019. http://dx.doi.org/10.18699/plantgen2019-008.

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