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Miklós Csuös

dblp:67/8321 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › phylogenetics › evolutionary history reconstruction
ancestral sequence reconstruction
0.112010
Count: evolutionary analysis of phylogenetic profiles with parsimony and likelihood · Bioinform. 2010
Bioinformatics and computational biology
phylogenetics
0.112010
Count: evolutionary analysis of phylogenetic profiles with parsimony and likelihood · Bioinform. 2010
Bioinformatics and computational biology › phylogenetics
phylogenetic profiling
0.112010
Count: evolutionary analysis of phylogenetic profiles with parsimony and likelihood · Bioinform. 2010
Bioinformatics and computational biology › comparative genomics
gene content evolution
0.012010
Count: evolutionary analysis of phylogenetic profiles with parsimony and likelihood · Bioinform. 2010

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

parsimony · 0.1maximum likelihood · 0.1birth-and-death model · 0.1
YearPublicationVenuePosition
2010 Count: evolutionary analysis of phylogenetic profiles with parsimony and likelihood
abstract
SUMMARY: Count is a software package for the analysis of numerical profiles on a phylogeny. It is primarily designed to deal with profiles derived from the phyletic distribution of homologous gene families, but is suited to study any other integer-valued evolutionary characters. Count performs ancestral reconstruction, and infers family- and lineage-specific characteristics along the evolutionary tree. It implements popular methods employed in gene content analysis such as Dollo and Wagner parsimony, propensity for gene loss, as well as probabilistic methods involving a phylogenetic birth-and-death model. AVAILABILITY: Count is available as a stand-alone Java application, as well as an application bundle for MacOS X, at the web site http://www.iro.umontreal.ca/ approximately csuros/gene_content/count.html. It can also be launched using Java Webstart from the same site. The software is distributed under a BSD-style license. Source code is available upon request from the author.
Miklós Csuös
Bioinform.1