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Computational Biology & Bioinformatics: A Gentle Overview

Mansi Gupta


Computational biology organises our understanding of life, makes biological concepts rigorous and testable, and provides a reference map that connects individual insights. The next modern synthesis in biology will be driven by the incorporation of mathematical, statistical, and computational methods into mainstream biological education, transforming biology into a quantitative science. Bioinformatics is divided into several branches, including Genomics, Proteomics, Computer-Aided Drug Design, Bio Data Bases & Data Mining, Molecular Phylogenetics, Microarray Informatics, and Systems Biology. In the following paragraphs, we will discuss their scope briefly.


Bioinformatics, Computational Biology, DNA sequences, Protein Sequences, Molecular Biology, Heterogeneity, Cancer genomes.

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Nair, A.S., 2007. Computational biology & bioinformatics: a gentle overview. Communications of the Computer Society of India, 2, pp. 1–12.

Frauenfelder, H., Sligar, S.G. and Wolynes, P.G., 1991. The energy landscapes and motions of proteins. Science, 254 (5038), pp. 1598–1603.

Nussinov, R. and Wolynes, P.G., 2014. A second molecular biology revolution? The energy landscapes of biomolecular function. Physical Chemistry Chemical Physics, 16 (14), pp. 6321–6322.

Weber, J.L. and Myers, E.W., 1997. Human whole-genome shotgun sequencing. Genome research, 7 (5), pp. 401–409.

Flicek, P. and Birney, E., 2009. Sense from sequence reads: methods for alignment and assembly. Nature methods, 6 (11), pp. S6–S12.

Schwarz, R.F., Ng, C.K., Cooke, S.L., Newman, S., Temple, J., Piskorz, A.M., Gale, D., Sayal, K., Murtaza, M., Baldwin, P.J. and Rosenfeld, N., 2015. Spatial and temporal heterogeneity in high-grade serous ovarian cancer: a phylogenetic analysis. PLoS medicine, 12 (2), p.e1001789.

Markowetz, F., 2017. All biology is computational biology. PLoS biology, 15 (3), p.e2002050.

Medvedev, P., Stanciu, M. and Brudno, M., 2009. Computational methods for discovering structural variation with next-generation sequencing. Nature methods, 6(11), pp. S13–S20.

Feuk, L., Carson, A.R. and Scherer, S.W., 2006. Structural variation in the human genome. Nature Reviews Genetics, 7 (2), pp. 85–97).

Boyle, A.P., Davis, S., Shulha, H.P., Meltzer, P., Margulies, E.H., Weng, Z., Furey, T.S. and Crawford, G.E., 2008. High-resolution mapping and characterization of open chromatin across the genome. Cell, 132 (2), pp. 311–322.


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