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Journal of Integrative Bioinformatics

Editor-in-Chief: Schreiber, Falk / Hofestädt, Ralf

Managing Editor: Sommer, Björn

Ed. by Baumbach, Jan / Chen, Ming / Orlov, Yuriy / Allmer, Jens

Editorial Board: Giorgetti, Alejandro / Harrison, Andrew / Kochetov, Aleksey / Krüger, Jens / Ma, Qi / Matsuno, Hiroshi / Mitra, Chanchal K. / Pauling, Josch K. / Rawlings, Chris / Fdez-Riverola, Florentino / Romano, Paolo / Röttger, Richard / Shoshi, Alban / Soares, Siomar de Castro / Taubert, Jan / Tauch, Andreas / Yousef, Malik / Weise, Stephan / Hassani-Pak, Keywan

4 Issues per year


CiteScore 2017: 0.77

SCImago Journal Rank (SJR) 2017: 0.336

Open Access
Online
ISSN
1613-4516
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Volume 11, Issue 2

Issues

BacillusRegNet: A transcriptional regulation database and analysis platform for Bacillus species

Goksel Misirli
  • School of Computing Science, and Centre for Synthetic Biology and Bioexploitation, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom of Great Britain and Northern Ireland
  • Other articles by this author:
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/ Jennifer Hallinan
  • School of Computing Science, and Centre for Synthetic Biology and Bioexploitation, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom of Great Britain and Northern Ireland
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/ Richard Röttger
  • Department of Mathematics and Computer Science, University of Southern Denmark, Odense, DK-5230, Denmark
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/ Jan Baumbach
  • Department of Mathematics and Computer Science, University of Southern Denmark, Odense, DK-5230, Denmark
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/ Anil Wipat
  • Corresponding author
  • School of Computing Science, and Centre for Synthetic Biology and Bioexploitation, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom of Great Britain and Northern Ireland
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Published Online: 2016-10-18 | DOI: https://doi.org/10.1515/jib-2014-244

Summary

As high-throughput technologies become cheaper and easier to use, raw sequence data and corresponding annotations for many organisms are becoming available. However, sequence data alone is not sufficient to explain the biological behaviour of organisms, which arises largely from complex molecular interactions. There is a need to develop new platform technologies that can be applied to the investigation of whole-genome datasets in an efficient and cost-effective manner. One such approach is the transfer of existing knowledge from well-studied organisms to closely-related organisms. In this paper, we describe a system, BacillusRegNet, for the use of a model organism, Bacillus subtilis, to infer genome-wide regulatory networks in less well-studied close relatives. The putative transcription factors, their binding sequences and predicted promoter sequences along with annotations are available from the associated BacillusRegNet website (http://bacillus.ncl.ac.uk).

About the article

Published Online: 2016-10-18

Published in Print: 2014-06-01


Citation Information: Journal of Integrative Bioinformatics, Volume 11, Issue 2, Pages 106–119, ISSN (Online) 1613-4516, DOI: https://doi.org/10.1515/jib-2014-244.

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© 2014 The Author(s). Published by Journal of Integrative Bioinformatics.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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