INSECT 2.0: A web-server for genome-wide cis-regulatory modules prediction

INSECT is a user-friendly web server to predict the occurrence of Cis-Regulatory Modules (CRMs), which control gene expression. Here, we present a new release of INSECT which includes several new features, such as whole genome analysis, nucleosome occupancy predictions, and which provides additional...

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Publicado: 2016
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13674803_v32_n8_p1229_Parra
http://hdl.handle.net/20.500.12110/paper_13674803_v32_n8_p1229_Parra
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spelling paper:paper_13674803_v32_n8_p1229_Parra2023-06-08T16:12:11Z INSECT 2.0: A web-server for genome-wide cis-regulatory modules prediction transcription factor algorithm binding site computer simulation genome Internet regulatory sequence Algorithms Binding Sites Computer Simulation Genome Internet Regulatory Elements, Transcriptional Transcription Factors INSECT is a user-friendly web server to predict the occurrence of Cis-Regulatory Modules (CRMs), which control gene expression. Here, we present a new release of INSECT which includes several new features, such as whole genome analysis, nucleosome occupancy predictions, and which provides additional links to third-party functional tools that complement user capabilities, CRM analysis and hypothesis construction. Improvements in the core implementation have led to a faster and more efficient tool. In addition, this new release introduces a new interface designed for a more integrative and dynamic user experience. © 2015 The Author. All rights reserved. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13674803_v32_n8_p1229_Parra http://hdl.handle.net/20.500.12110/paper_13674803_v32_n8_p1229_Parra
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic transcription factor
algorithm
binding site
computer simulation
genome
Internet
regulatory sequence
Algorithms
Binding Sites
Computer Simulation
Genome
Internet
Regulatory Elements, Transcriptional
Transcription Factors
spellingShingle transcription factor
algorithm
binding site
computer simulation
genome
Internet
regulatory sequence
Algorithms
Binding Sites
Computer Simulation
Genome
Internet
Regulatory Elements, Transcriptional
Transcription Factors
INSECT 2.0: A web-server for genome-wide cis-regulatory modules prediction
topic_facet transcription factor
algorithm
binding site
computer simulation
genome
Internet
regulatory sequence
Algorithms
Binding Sites
Computer Simulation
Genome
Internet
Regulatory Elements, Transcriptional
Transcription Factors
description INSECT is a user-friendly web server to predict the occurrence of Cis-Regulatory Modules (CRMs), which control gene expression. Here, we present a new release of INSECT which includes several new features, such as whole genome analysis, nucleosome occupancy predictions, and which provides additional links to third-party functional tools that complement user capabilities, CRM analysis and hypothesis construction. Improvements in the core implementation have led to a faster and more efficient tool. In addition, this new release introduces a new interface designed for a more integrative and dynamic user experience. © 2015 The Author. All rights reserved.
title INSECT 2.0: A web-server for genome-wide cis-regulatory modules prediction
title_short INSECT 2.0: A web-server for genome-wide cis-regulatory modules prediction
title_full INSECT 2.0: A web-server for genome-wide cis-regulatory modules prediction
title_fullStr INSECT 2.0: A web-server for genome-wide cis-regulatory modules prediction
title_full_unstemmed INSECT 2.0: A web-server for genome-wide cis-regulatory modules prediction
title_sort insect 2.0: a web-server for genome-wide cis-regulatory modules prediction
publishDate 2016
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13674803_v32_n8_p1229_Parra
http://hdl.handle.net/20.500.12110/paper_13674803_v32_n8_p1229_Parra
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