8. Genomics and Proteomics Using Computational Biology

2018
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Authors: Aman Chandra Kaushik; Ajay Kumar; Shiv Bharadwaj; Ravi Chaudhary; Shakti Sahi
Published in: Bioinformatics Techniques for Drug Discovery
Publisher: Springer International Publishing

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Abstract

Current functional genomics relies on known and characterised genes, but despite significant efforts in the field of genome annotation, accurate identification and elucidation of protein coding gene structures remains challenging. Methods are limited to computational predictions and transcript-level experimental evidence; hence translation cannot be verified. Proteomic mass spectrometry is a method that enables sequencing of gene product fragments, enabling the validation and refinement of existing gene annotation as well as the elucidation of novel protein coding regions. However, the application of proteomics data to genome annotation is hindered by the lack of suitable tools and methods to achieve automatic data processing and genome mapping at high accuracy and throughput.

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previous chapter Thermodynamic Cycles and Their Application in Protein Targets

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Title: Genomics and Proteomics Using Computational Biology
Authors: Aman Chandra Kaushik
Ajay Kumar
Shiv Bharadwaj
Ravi Chaudhary
Shakti Sahi
Publisher: Springer International Publishing
Book: Bioinformatics Techniques for Drug Discovery
Print ISBN: 978-3-319-75731-5

Electronic ISBN: 978-3-319-75732-2

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-75732-2_8

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