Genomics and proteomics using computational biology

Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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.

Original languageEnglish
Title of host publicationSpringerBriefs in Computer Science
Number of pages11
StatePublished - 1 Jan 2018
Externally publishedYes

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776


  • Computational genomics
  • Computational proteomics
  • Functional genomics
  • Genome
  • Genome annotation
  • MS
  • Proteomics

ASJC Scopus subject areas

  • General Computer Science


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