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Marialva Sinigaglia

dblp:67/7067 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 1

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
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis › gene co-expression analysis
gene expression network analysis
0.112009
ViaComplex: software for landscape analysis of gene expression networks in genomic context · Bioinform. 2009
Bioinformatics and computational biology
systems biology
0.112009
ViaComplex: software for landscape analysis of gene expression networks in genomic context · Bioinform. 2009

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

network topology projection · 0.1
YearPublicationVenuePosition
2009 ViaComplex: software for landscape analysis of gene expression networks in genomic context
abstract
UNLABELLED: ViaComplex is an open-source application that builds landscape maps of gene expression networks. The motivation for this software comes from two previous publications (Nucleic Acids Res., 35, 1859-1867, 2007; Nucleic Acids Res., 36, 6269-6283, 2008). The first article presents a network-based model of genome stability pathways where we defined a set of genes that characterizes each genetic system. In the second article we analyzed this model by projecting functional information from several experiments onto the gene network topology. In order to systematize the methods developed in these articles, ViaComplex provides tools that may help potential users to assess different high-throughput experiments in the context of six core genome maintenance mechanisms. This model illustrates how different gene networks can be analyzed by the same algorithm. AVAILABILITY: (http://lief.if.ufrgs.br/pub/biosoftwares/viacomplex).
Mauro A. A. Castro, José L. Rybarczyk Filho, Rodrigo J. S. Dalmolin, Marialva Sinigaglia, José Cláudio Fonseca Moreira, José C. M. Mombach, Rita M. C. de Almeida
Bioinform.4