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.
authors.affiliation: a Institute of Molecular Biology (IMB) , Mainz , Germany.
authors.forename: Abhijeet
authors.initials: A
authors.lastname: Pataskar
authors.affiliation: a Institute of Molecular Biology (IMB) , Mainz , Germany.
authors.forename: Vijay K
authors.initials: VK
authors.lastname: Tiwari
mesh_terms: D019295:Computational Biology / Q000379:methods*; D044127:Epigenesis, Genetic; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D008957:Models, Genetic; D014158:Transcription, Genetic
keywords: epigenetic mechanisms; gene regulation; systems biology; transcription; transcription factors