Computational challenges in modeling gene regulatory events

Abhijeet Pataskar; Vijay K. Tiwari

doi:10.1080/21541264.2016.1204491

Computational challenges in modeling gene regulatory events

Abhijeet Pataskar, Vijay K. Tiwari

School of Medicine, Dentistry and Biomedical Sciences

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Cellular transcriptional programs driven by genetic and epigenetic mechanisms could be better understood by integrating ``omics'' data and subsequently modeling the gene-regulatory events. Toward this end, computational biology should keep pace with evolving experimental procedures and data availability. This article gives an exemplified account of the current computational challenges in molecular biology.

Original language	English
Pages (from-to)	188-195
Number of pages	8
Journal	Transcription
Volume	7
Issue number	5
Early online date	03 Aug 2016
DOIs	https://doi.org/10.1080/21541264.2016.1204491
Publication status	Published - 19 Oct 2016

Keywords

epigenetic mechanisms
gene regulation
systems biology
transcription
transcription factors

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10.1080/21541264.2016.1204491Licence: Unspecified

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title = "Computational challenges in modeling gene regulatory events",

abstract = "Cellular transcriptional programs driven by genetic and epigenetic mechanisms could be better understood by integrating ``omics'' data and subsequently modeling the gene-regulatory events. Toward this end, computational biology should keep pace with evolving experimental procedures and data availability. This article gives an exemplified account of the current computational challenges in molecular biology.",

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AU - Tiwari, Vijay K.

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N2 - Cellular transcriptional programs driven by genetic and epigenetic mechanisms could be better understood by integrating ``omics'' data and subsequently modeling the gene-regulatory events. Toward this end, computational biology should keep pace with evolving experimental procedures and data availability. This article gives an exemplified account of the current computational challenges in molecular biology.

AB - Cellular transcriptional programs driven by genetic and epigenetic mechanisms could be better understood by integrating ``omics'' data and subsequently modeling the gene-regulatory events. Toward this end, computational biology should keep pace with evolving experimental procedures and data availability. This article gives an exemplified account of the current computational challenges in molecular biology.

KW - epigenetic mechanisms

KW - gene regulation

KW - systems biology

KW - transcription

KW - transcription factors

UR - http://www.mendeley.com/research/computational-challenges-modeling-gene-regulatory-events

U2 - 10.1080/21541264.2016.1204491

DO - 10.1080/21541264.2016.1204491

M3 - Article

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VL - 7

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EP - 195

JO - Transcription

JF - Transcription

IS - 5

ER -

Computational challenges in modeling gene regulatory events

Abstract

Keywords

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