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Genomics and Proteomics Using Computational Biology

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Book cover Bioinformatics Techniques for Drug Discovery

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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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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Authors and Affiliations

  1. School of life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China

    Aman Chandra Kaushik

  2. School of Engineering, Gautam Buddha University, Greater Noida, 201308, Uttar Pradesh, India

    Ajay Kumar

  3. Nanotechnology Research and Application Center, Sabanci University, Tuzla, 34956, Istanbul, Turkey

    Shiv Bharadwaj

  4. School of Biotechnology, Gautam Buddha University, Greater Noida, 201308, Uttar Pradesh, India

    Ravi Chaudhary

  5. School of Biotechnology, Gautam Buddha University, Greater Noida, Uttar Pradesh, 201308, India

    Shakti Sahi

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  1. Aman Chandra Kaushik
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Correspondence to Aman Chandra Kaushik .

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Kaushik, A.C., Kumar, A., Bharadwaj, S., Chaudhary, R., Sahi, S. (2018). Genomics and Proteomics Using Computational Biology. In: Bioinformatics Techniques for Drug Discovery. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-75732-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-75732-2_8

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