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LogoMotif: a comprehensive database of transcription factor binding site profiles in Actinobacteria
by
Augustijn, Hannah E
, Joosten, Kristy
, Medema, Marnix H
, Karapliafis, Dimitris
, Rigali, Sebastien
, Van Wezel, Gilles P
in
Actinobacteria
/ Antibiotics
/ Binding sites
/ Bioinformatics
/ Genomes
/ Life cycles
/ Markov chains
/ Transcription factors
2024
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LogoMotif: a comprehensive database of transcription factor binding site profiles in Actinobacteria
by
Augustijn, Hannah E
, Joosten, Kristy
, Medema, Marnix H
, Karapliafis, Dimitris
, Rigali, Sebastien
, Van Wezel, Gilles P
in
Actinobacteria
/ Antibiotics
/ Binding sites
/ Bioinformatics
/ Genomes
/ Life cycles
/ Markov chains
/ Transcription factors
2024
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Do you wish to request the book?
LogoMotif: a comprehensive database of transcription factor binding site profiles in Actinobacteria
by
Augustijn, Hannah E
, Joosten, Kristy
, Medema, Marnix H
, Karapliafis, Dimitris
, Rigali, Sebastien
, Van Wezel, Gilles P
in
Actinobacteria
/ Antibiotics
/ Binding sites
/ Bioinformatics
/ Genomes
/ Life cycles
/ Markov chains
/ Transcription factors
2024
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LogoMotif: a comprehensive database of transcription factor binding site profiles in Actinobacteria
Paper
LogoMotif: a comprehensive database of transcription factor binding site profiles in Actinobacteria
2024
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Overview
Actinobacteria undergo a complex multicellular life cycle and produce a wide range of specialized metabolites, including the majority of the antibiotics. These biological processes are controlled by intricate regulatory pathways, and to better understand how they are controlled we need to augment our insights into the transcription factor binding sites. Here, we present LogoMotif (https://logomotif.bioinformatics.nl), an open-source database for characterized and predicted transcription factor binding sites in Actinobacteria, along with their cognate position weight matrices and hidden Markov models. Genome-wide predictions of binding site locations in Streptomyces model organisms are supplied and visualized in interactive regulatory networks. In the web interface, users can freely access, download and investigate the underlying data. With this curated collection of actinobacterial regulatory interactions, LogoMotif serves as a basis for binding site predictions, thus providing users with clues on how to elicit the expression of genes of interest and guide genome mining efforts.Competing Interest StatementM.H.M. is a member of the Scientific Advisory Board of Hexagon Bio.
Publisher
Cold Spring Harbor Laboratory Press,Cold Spring Harbor Laboratory
Subject
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