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^*

^*Kontaktforfatter

Institute of Molecular Biology (IMB)

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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.

Originalsprog	Engelsk
Tidsskrift	Transcription
Vol/bind	7
Udgave nummer	5
Sider (fra-til)	188-195
ISSN	2154-1264
DOI	https://doi.org/10.1080/21541264.2016.1204491
Status	Udgivet - 19. okt. 2016
Udgivet eksternt	Ja

Dokumenter og links

10.1080/21541264.2016.1204491

SDU link

Tjek adgangen til materialet i Syddansk Universitetsbiblioteks søgemaskine

Citationsformater

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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 - Computational Biology/methods

KW - Epigenesis, Genetic

KW - Gene Expression Regulation

KW - Gene Regulatory Networks

KW - Models, Genetic

KW - Transcription, Genetic

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DO - 10.1080/21541264.2016.1204491

M3 - Journal article

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JF - Transcription

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Computational challenges in modeling gene regulatory events

Abstract

Dokumenter og links

SDU link

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