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Journal articles on the topic 'Biology|Bioinformatics'

Author: Grafiati

Published: 9 July 2021

Last updated: 15 February 2022

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1

Lederman, Lynne. "Bioinformatics and Systems Biology." BioTechniques 46, no. 7 (2009): 501–3. http://dx.doi.org/10.2144/000113177.

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2

Ram, Prahlad T., John Mendelsohn, and Gordon B. Mills. "Bioinformatics and systems biology." Molecular Oncology 6, no. 2 (2012): 147–54. http://dx.doi.org/10.1016/j.molonc.2012.01.008.

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3

Lakhno, V. D. "Mathematical biology and bioinformatics." Herald of the Russian Academy of Sciences 81, no. 5 (2011): 539–45. http://dx.doi.org/10.1134/s1019331611050029.

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4

Dalpech, Roger. "Bioinformatics and school biology." Journal of Biological Education 40, no. 4 (2006): 147–48. http://dx.doi.org/10.1080/00219266.2006.9656035.

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5

Zharikova, A. A., and A. A. Mironov. "piRNAs: Biology and bioinformatics." Molecular Biology 50, no. 1 (2016): 69–76. http://dx.doi.org/10.1134/s0026893316010222.

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6

Rajpal, Deepak K. "Understanding Biology Through Bioinformatics." International Journal of Toxicology 24, no. 3 (2005): 147–52. http://dx.doi.org/10.1080/10915810590948325.

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During the journey from the discovery of DNA to be the source of genetic information and elucidation of double-helical nature of DNA molecule to the assembly of human genome sequence and there after, bioinformatics has become an integral part of modern biology. Bioinformatics relies substantially on significant contributions made by scientists in various fields, including but not limited to, linguistics, biology, mathematics, computer science, and statistics. There is an ever increasing amount of data to elucidate toxic mechanisms and/or adverse effects of xenobiotics in the field of toxicogenomics. Annotation in combination with various bioinformatics analytical tools can play a crucial role in the understanding of genes and proteins, and can potentially help draw meaningful conclusions from various data sources. This article attempts to present a simple overview of bioinformatics, and an effort is made to discuss annotation.

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7

Yao, T. "Bioinformatics and Systems Biology - towards Integrative Biology." Yearbook of Medical Informatics 14, no. 01 (2005): 535–37. http://dx.doi.org/10.1055/s-0038-1638448.

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8

Medema, Marnix H., and Huimin Zhao. "Editorial: Synthetic biology and bioinformatics." Natural Product Reports 33, no. 8 (2016): 913–14. http://dx.doi.org/10.1039/c6np90031c.

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9

Bloom, Mark. "Biology insilico: The Bioinformatics Revolution." American Biology Teacher 63, no. 6 (2001): 400–407. http://dx.doi.org/10.1662/0002-7685(2001)063[0397:bistbr]2.0.co;2.

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10

Kunz, Meik, Ke Xiao, Chunguang Liang, et al. "Bioinformatics of cardiovascular miRNA biology." Journal of Molecular and Cellular Cardiology 89 (December 2015): 3–10. http://dx.doi.org/10.1016/j.yjmcc.2014.11.027.

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11

LLOYD, A. "C028 Bioinformatics and molecular biology." Journal of the European Academy of Dermatology and Venereology 9 (September 1997): S64. http://dx.doi.org/10.1016/s0926-9959(97)89102-7.

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12

Claverie, J. M. "From Bioinformatics to Computational Biology." Genome Research 10, no. 9 (2000): 1277–79. http://dx.doi.org/10.1101/gr.155500.

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13

Valencia, A. "BIOINFORMATICS: BIOLOGY BY OTHER MEANS." Bioinformatics 18, no. 12 (2002): 1551–52. http://dx.doi.org/10.1093/bioinformatics/18.12.1551.

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14

Bloom, Mark. "Biology in silico: The Bioinformatics Revolution." American Biology Teacher 63, no. 6 (2001): 397–403. http://dx.doi.org/10.2307/4451145.

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15

Podkolodnyy, N. L., and O. A. Podkolodnaya. "Ontologies in bioinformatics and systems biology." Vavilov Journal of Genetics and Breeding 19, no. 6 (2016): 652–60. http://dx.doi.org/10.18699/vj15.090.

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16

Abroun, Saeid, Najmaldin Saki, Rahim Fakher, and Farahnaz Asghari. "Biology and Bioinformatics of Myeloma Cell." Laboratory Hematology 18, no. 4 (2012): 30–41. http://dx.doi.org/10.1532/lh96.11003.

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17

Cho, Sung-Bae, Jonathan H. Chan, and Kyu-Baek Hwang. "Preface: Computational Systems-Biology and Bioinformatics." Procedia Computer Science 23 (2013): 1–4. http://dx.doi.org/10.1016/j.procs.2013.10.002.

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18

Chan, Jonathan H., Asawin Meechai, and Chee Keong Kwoh. "Preface: Computational Systems-Biology and Bioinformatics." Procedia Computer Science 11 (2012): 1–3. http://dx.doi.org/10.1016/j.procs.2012.09.001.

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19

Fatumo, Segun A., Moses P. Adoga, Opeolu O. Ojo, et al. "Computational Biology and Bioinformatics in Nigeria." PLoS Computational Biology 10, no. 4 (2014): e1003516. http://dx.doi.org/10.1371/journal.pcbi.1003516.

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20

Talbi, El-Ghazali, and Albert Zomaya. "Grids in bioinformatics and computational biology." Journal of Parallel and Distributed Computing 66, no. 12 (2006): 1481. http://dx.doi.org/10.1016/j.jpdc.2006.09.001.

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21

Pegg, S. "Dictionary of Bioinformatics and Computational Biology." Briefings in Bioinformatics 6, no. 2 (2005): 211–12. http://dx.doi.org/10.1093/bib/6.2.211.

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22

Podkolodnyy, N. L., and O. A. Podkolodnaya. "Ontologies in bioinformatics and systems biology." Russian Journal of Genetics: Applied Research 6, no. 7 (2016): 749–58. http://dx.doi.org/10.1134/s2079059716070091.

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23

Pearson, W. R. "Training for bioinformatics and computational biology." Bioinformatics 17, no. 9 (2001): 761–62. http://dx.doi.org/10.1093/bioinformatics/17.9.761.

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24

Kudrin, R. A., A. A. Mironov, and E. D. Stavrovskaya. "Chromatin and Polycomb: Biology and bioinformatics." Molecular Biology 51, no. 1 (2017): 14–24. http://dx.doi.org/10.1134/s0026893316060121.

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25

McConkey, David J., and Woonyoung Choi. "Subtyping Bladder Cancers: Biology vs Bioinformatics." JNCI: Journal of the National Cancer Institute 110, no. 5 (2018): 439–40. http://dx.doi.org/10.1093/jnci/djx254.

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26

Bujnicki, Janusz M., and Jerzy Tiuryn. "Bioinformatics and Computational Biology in Poland." PLoS Computational Biology 9, no. 5 (2013): e1003048. http://dx.doi.org/10.1371/journal.pcbi.1003048.

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27

Wang, May Dongmei. "In the Spotlight: Bioinformatics, Computational Biology and Systems Biology." IEEE Reviews in Biomedical Engineering 4 (2011): 3–5. http://dx.doi.org/10.1109/rbme.2011.2177935.

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28

Saidel, Gerald M., and Jie Liang. "ABME Special Issue: Systems Biology, Bioinformatics, and Computational Biology." Annals of Biomedical Engineering 35, no. 6 (2007): 861–62. http://dx.doi.org/10.1007/s10439-007-9325-7.

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29

Subramaniam, Shankar, Eoin Fahy, Shakti Gupta, et al. "Bioinformatics and Systems Biology of the Lipidome." Chemical Reviews 111, no. 10 (2011): 6452–90. http://dx.doi.org/10.1021/cr200295k.

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30

Rhee, Seung Yon, Julie Dickerson, and Dong Xu. "BIOINFORMATICS AND ITS APPLICATIONS IN PLANT BIOLOGY." Annual Review of Plant Biology 57, no. 1 (2006): 335–60. http://dx.doi.org/10.1146/annurev.arplant.56.032604.144103.

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31

Pickeral, Oxana K., and Mark S. Boguski. "The Bioinformatics Bookshelf: Teach Yourself Computational Biology?" Cell 96, no. 4 (1999): 451–55. http://dx.doi.org/10.1016/s0092-8674(00)80632-7.

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32

Hogeweg, Paulien. "The Roots of Bioinformatics in Theoretical Biology." PLoS Computational Biology 7, no. 3 (2011): e1002021. http://dx.doi.org/10.1371/journal.pcbi.1002021.

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33

Merelli, E., G. Armano, N. Cannata, et al. "Agents in bioinformatics, computational and systems biology." Briefings in Bioinformatics 8, no. 1 (2006): 45–59. http://dx.doi.org/10.1093/bib/bbl014.

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34

Semple, C. A. M. "Meet the parents: bioinformatics and computational biology." Heredity 91, no. 6 (2003): 542–43. http://dx.doi.org/10.1038/sj.hdy.6800366.

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35

MacMullen, W. John, and Sheila O. Denn. "Information problems in molecular biology and bioinformatics." Journal of the American Society for Information Science and Technology 56, no. 5 (2005): 447–56. http://dx.doi.org/10.1002/asi.20134.

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36

Rajagopal, Guna, and Santosh Mishra. "Bioinformatics Institute — Opening New Frontiers in Biology." Asia-Pacific Biotech News 09, no. 24 (2005): 1299–305. http://dx.doi.org/10.1142/s0219030305002089.

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This article is about the research done in Bioinformatics Institute. It describes the research focus of the team at BII. It also summarizes the ongoing collaborations and partnerships the institution has with other partners.

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37

Handl, Julia, Douglas B. Kell, and Joshua Knowles. "Multiobjective Optimization in Bioinformatics and Computational Biology." IEEE/ACM Transactions on Computational Biology and Bioinformatics 4, no. 2 (2007): 279–92. http://dx.doi.org/10.1109/tcbb.2007.070203.

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38

Chen, Luonan, and Michael K. Ng. "Guest Editorial: Bioinformatics and Computational Systems Biology." IEEE/ACM Transactions on Computational Biology and Bioinformatics 9, no. 4 (2012): 945–46. http://dx.doi.org/10.1109/tcbb.2012.76.

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39

Zheng, H., K. C. Wiese, and F. Azuaje. "Special Section on Bioinformatics and Computational Biology." IEEE Transactions on NanoBioscience 4, no. 3 (2005): 205–6. http://dx.doi.org/10.1109/tnb.2005.853643.

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40

Lakhno, V. D. "Applied problems of mathematical biology and bioinformatics." Biophysics 56, no. 6 (2011): 1047–54. http://dx.doi.org/10.1134/s000635091106011x.

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41

Likić, Vladimir A., Malcolm J. McConville, Trevor Lithgow, and Antony Bacic. "Systems Biology: The Next Frontier for Bioinformatics." Advances in Bioinformatics 2010 (February 9, 2010): 1–10. http://dx.doi.org/10.1155/2010/268925.

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Biochemical systems biology augments more traditional disciplines, such as genomics, biochemistry and molecular biology, by championing (i) mathematical and computational modeling; (ii) the application of traditional engineering practices in the analysis of biochemical systems; and in the past decade increasingly (iii) the use of near-comprehensive data sets derived from ‘omics platform technologies, in particular “downstream” technologies relative to genome sequencing, including transcriptomics, proteomics and metabolomics. The future progress in understanding biological principles will increasingly depend on the development of temporal and spatial analytical techniques that will provide high-resolution data for systems analyses. To date, particularly successful were strategies involving (a) quantitative measurements of cellular components at the mRNA, protein and metabolite levels, as well as in vivo metabolic reaction rates, (b) development of mathematical models that integrate biochemical knowledge with the information generated by high-throughput experiments, and (c) applications to microbial organisms. The inevitable role bioinformatics plays in modern systems biology puts mathematical and computational sciences as an equal partner to analytical and experimental biology. Furthermore, mathematical and computational models are expected to become increasingly prevalent representations of our knowledge about specific biochemical systems.

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42

Campbell, Peter. "Don't leave the biology out of bioinformatics." Nature 401, no. 6751 (1999): 321. http://dx.doi.org/10.1038/43764.

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43

Primig, Michael. "The bioinformatics tool box for reproductive biology." Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease 1822, no. 12 (2012): 1880–95. http://dx.doi.org/10.1016/j.bbadis.2012.05.018.

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44

Honts, Jerry E. "Evolving Strategies for the Incorporation of Bioinformatics Within the Undergraduate Cell Biology Curriculum." Cell Biology Education 2, no. 4 (2003): 233–47. http://dx.doi.org/10.1187/cbe.03-06-0026.

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Recent advances in genomics and structural biology have resulted in an unprecedented increase in biological data available from Internet-accessible databases. In order to help students effectively use this vast repository of information, undergraduate biology students at Drake University were introduced to bioinformatics software and databases in three courses, beginning with an introductory course in cell biology. The exercises and projects that were used to help students develop literacy in bioinformatics are described. In a recently offered course in bioinformatics, students developed their own simple sequence analysis tool using the Perl programming language. These experiences are described from the point of view of the instructor as well as the students. A preliminary assessment has been made of the degree to which students had developed a working knowledge of bioinformatics concepts and methods. Finally, some conclusions have been drawn from these courses that may be helpful to instructors wishing to introduce bioinformatics within the undergraduate biology curriculum.

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45

Hậu, Lê Đức, and Lê Hoàng Sơn. "Introduction to the Special Issue on Bioinformatics and Computational Biology." Journal of Research and Development on Information and Communication Technology 2019, no. 2 (2019): 73–74. http://dx.doi.org/10.32913/mic-ict-research.v2019.n2.917.

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The Special Issue on Bioinformatics and Computational Biology in the Journal of Research and Development on Information and Communication Technology (ICT Research) aims at bringing together researchers in Vietnam for exchange of new developments in all areas of bioinformatics and computational biology.

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46

Gauthier, Jeff, Antony T. Vincent, Steve J. Charette, and Nicolas Derome. "A brief history of bioinformatics." Briefings in Bioinformatics 20, no. 6 (2018): 1981–96. http://dx.doi.org/10.1093/bib/bby063.

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AbstractIt is easy for today’s students and researchers to believe that modern bioinformatics emerged recently to assist next-generation sequencing data analysis. However, the very beginnings of bioinformatics occurred more than 50 years ago, when desktop computers were still a hypothesis and DNA could not yet be sequenced. The foundations of bioinformatics were laid in the early 1960s with the application of computational methods to protein sequence analysis (notably, de novo sequence assembly, biological sequence databases and substitution models). Later on, DNA analysis also emerged due to parallel advances in (i) molecular biology methods, which allowed easier manipulation of DNA, as well as its sequencing, and (ii) computer science, which saw the rise of increasingly miniaturized and more powerful computers, as well as novel software better suited to handle bioinformatics tasks. In the 1990s through the 2000s, major improvements in sequencing technology, along with reduced costs, gave rise to an exponential increase of data. The arrival of ‘Big Data’ has laid out new challenges in terms of data mining and management, calling for more expertise from computer science into the field. Coupled with an ever-increasing amount of bioinformatics tools, biological Big Data had (and continues to have) profound implications on the predictive power and reproducibility of bioinformatics results. To overcome this issue, universities are now fully integrating this discipline into the curriculum of biology students. Recent subdisciplines such as synthetic biology, systems biology and whole-cell modeling have emerged from the ever-increasing complementarity between computer science and biology.

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47

Zhao, Xing‐Ming. "Editorial: Part 1: Network biology in translational bioinformatics and systems biology." IET Systems Biology 8, no. 2 (2014): 23. http://dx.doi.org/10.1049/iet-syb.2014.0005.

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48

Ragan, Mark A., Tim Littlejohn, and Bruce Ross. "Genome-Scale Computational Biology and Bioinformatics in Australia." PLoS Computational Biology 4, no. 8 (2008): e1000068. http://dx.doi.org/10.1371/journal.pcbi.1000068.

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49

Wilkinson, D. J. "Bayesian methods in bioinformatics and computational systems biology." Briefings in Bioinformatics 8, no. 2 (2006): 109–16. http://dx.doi.org/10.1093/bib/bbm007.

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50

Jungck, J. R., and A. E. Weisstein. "Mathematics and evolutionary biology make bioinformatics education comprehensible." Briefings in Bioinformatics 14, no. 5 (2013): 599–609. http://dx.doi.org/10.1093/bib/bbt046.

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