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Carolina Perez-Castro

dblp:136/5819 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0001-8792-7383ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
gene regulation
0.422016
INSECT 2.0: a web-server for genome-wide cis-regulatory modules prediction · Bioinform. 2016
INSECT: IN-silico SEarch for Co-occurring Transcription factors · Bioinform. 2013
Bioinformatics and computational biology › gene regulation › regulatory element discovery
cis-regulatory module prediction
0.322016
INSECT 2.0: a web-server for genome-wide cis-regulatory modules prediction · Bioinform. 2016
INSECT: IN-silico SEarch for Co-occurring Transcription factors · Bioinform. 2013
Bioinformatics and computational biology › gene regulation
transcription factor binding site prediction
0.212013
INSECT: IN-silico SEarch for Co-occurring Transcription factors · Bioinform. 2013

Methods — techniques the papers use, named apart from their topics

nucleosome occupancy prediction · 0.2position weight matrix · 0.2ChIP-seq analysis · 0.2
YearPublicationVenuePosition
2016 INSECT 2.0: a web-server for genome-wide cis-regulatory modules prediction
abstract
UNLABELLED: 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. AVAILABILITY AND IMPLEMENTATION: http://bioinformatics.ibioba-mpsp-conicet.gov.ar/INSECT2 CONTACT: [email protected].
R. Gonzalo Parra, Cristian Oscar Rohr, Daniel Koile, Carolina Perez-Castro, Patricio Yankilevich
Bioinform.4
2013 INSECT: IN-silico SEarch for Co-occurring Transcription factors
abstract
MOTIVATION: Transcriptional regulation occurs through the concerted actions of multiple transcription factors (TFs) that bind cooperatively to cis-regulatory modules (CRMs) of genes. These CRMs usually contain a variable number of transcription factor-binding sites (TFBSs) involved in related cellular and physiological processes. Chromatin immunoprecipitation followed by sequencing (ChIP-seq) has been effective in detecting TFBSs and nucleosome location to identify potential CRMs in genome-wide studies. Although several attempts were previously reported to predict the potential binding of TFs at TFBSs within CRMs by comparing different ChIP-seq data, these have been hampered by excessive background, usually emerging as a consequence of experimental conditions. To understand these complex regulatory circuits, it would be helpful to have reliable and updated user-friendly tools to assist in the identification of TFBSs and CRMs for gene(s) of interest. RESULTS: Here we present INSECT (IN-silico SEarch for Co-occurring Transcription factors), a novel web server for identifying potential TFBSs and CRMs in gene sequences. By combining several strategies, INSECT provides flexible analysis of multiple co-occurring TFBSs, by applying differing search schemes and restriction parameters. availability and implementation: INSECT is freely available as a web server at http://bioinformatics.ibioba-mpsp-conicet.gov.ar/INSECT .
Cristian Oscar Rohr, R. Gonzalo Parra, Patricio Yankilevich, Carolina Perez-Castro
Bioinform.4