@inbook{ca17366ebf024adf890a3055014c0eff,
title = "Genomics and proteomics using computational biology",
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.",
keywords = "Computational genomics, Computational proteomics, Functional genomics, Genome, Genome annotation, MS, Proteomics",
author = "Kaushik, {Aman Chandra} and Ajay Kumar and Shiv Bharadwaj and Ravi Chaudhary and Shakti Sahi",
note = "Publisher Copyright: {\textcopyright} 2018, The Author(s).",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-75732-2_8",
language = "English",
series = "SpringerBriefs in Computer Science",
publisher = "Springer",
number = "9783319757315",
pages = "47--57",
booktitle = "SpringerBriefs in Computer Science",
address = "Germany",
edition = "9783319757315",
}