Exploring a Drosophila Transcription Factor Interaction Network to Identify Cis-Regulatory Modules-Reference-Cited by-同舟云学术

Exploring a Drosophila Transcription Factor Interaction Network to Identify Cis-Regulatory Modules

Published:2020-08-01 Issue:8 Volume:27 Page:1313-1328
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Mahmud A.K.M. Firoj¹,Yang Doo²,Stenberg Per¹,Ioshikhes Ilya²,Nandi Soumyadeep³

Affiliation:

1. Department of Molecular Biology, Umeå University, Umeå, Sweden.

2. Ottawa Institute of Computational Biology and Bioinformatics (OICBB) and Ottawa Institute of Systems Biology (OISB) and Department of Biochemistry, Microbiology and Immunology (BMI), Faculty of Medicine, University of Ottawa, Ottawa, Canada.

3. Life Sciences Division, Institute of Advanced Study in Science and Technology, Vigyan Path, Paschim Boragaon, Guwahati, India; Amity University Haryana, Gurugram, India.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2018.0160

Reference103 articles.

1. The developmental expression dynamics of Drosophila melanogaster transcription factors

2. Computational Strategies for the Genome-Wide Identification of cis-Regulatory Elements and Transcriptional Targets

3. Topological comparison of methods for predicting transcriptional cooperativity in yeast

4. Exploiting transcription factor binding site clustering to identify cis-regulatory modules involved in pattern formation in the Drosophila genome

5. Genome-wide computational prediction of transcriptional regulatory modules reveals new insights into human gene expression