Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Techniques of Transcriptomic and Proteomic Data Integration

Version 1 : Received: 8 November 2020 / Approved: 10 November 2020 / Online: 10 November 2020 (15:48:26 CET)

How to cite: Patil, J.; Len, L.; Bharat, A.; Li, X. Techniques of Transcriptomic and Proteomic Data Integration. Preprints 2020, 2020110323 (doi: 10.20944/preprints202011.0323.v1). Patil, J.; Len, L.; Bharat, A.; Li, X. Techniques of Transcriptomic and Proteomic Data Integration. Preprints 2020, 2020110323 (doi: 10.20944/preprints202011.0323.v1).

Abstract

As of not long ago, understanding the administrative conduct of cells has been sought after through autonomous investigation of the transcriptome or the proteome. In view of the focal creed, it was commonly accepted that there exist an immediate correspondence between mRNA records and produced protein articulations. In any case, late examinations have demonstrated that the relationship among's mRNA and Protein articulations can be low because of different factors, for example, unique half lives and post record apparatus. In this manner, a joint investigation of the transcriptomic and proteomic information can give valuable experiences that may not be translated from singular examination of mRNA or protein articulations. This article audits the current significant methodologies for joint investigation of transcriptomic and proteomic information. We order the various methodologies into eight primary classes dependent on the underlying calculation and last investigation objective. We further present analogies with different spaces and talk about the current exploration issues around there.

Subject Areas

Transcriptome; Proteome; modeling

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