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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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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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 |
_version_ |
1768542470641025024 |