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Matteo Cesaroni

dblp:75/7067 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › epigenomics
ChIP-chip analysis
0.112008
CARPET: a web-based package for the analysis of ChIP-chip and expression tiling data · Bioinform. 2008
Bioinformatics and computational biology
gene expression analysis
0.112008
CARPET: a web-based package for the analysis of ChIP-chip and expression tiling data · Bioinform. 2008
Bioinformatics and computational biology › gene expression analysis › microarray data analysis
tiling array analysis
0.112008
CARPET: a web-based package for the analysis of ChIP-chip and expression tiling data · Bioinform. 2008

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

quality control · 0.1normalization · 0.1
YearPublicationVenuePosition
2008 CARPET: a web-based package for the analysis of ChIP-chip and expression tiling data
abstract
SUMMARY: CARPET (collection of automated routine programs for easy tiling) is a set of Perl, Python and R scripts, integrated on the Galaxy2 web-based platform, for the analysis of ChIP-chip and expression tiling data, both for standard and custom chip designs. CARPET allows rapid experimental data entry, simple quality control, normalization, easy identification and annotation of enriched ChIP-chip regions, detection of the absolute or relative transcriptional status of genes assessed by expression tiling experiments and, more importantly, it allows the integration of ChIP-chip and expression data. Results can be visualized instantly in a genomic context within the UCSC genome browser as graph-based custom tracks through Galaxy2. All generated and uploaded data can be stored within sessions and are easily shared with other users. AVAILABILITY: http://bio.ifom-ieo-campus.it/galaxy
Matteo Cesaroni, Davide Cittaro, Alessandro Brozzi, Pier Giuseppe Pelicci, Lucilla Luzi
Bioinform.1