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Mahesh Panchal

dblp:64/1527 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2007
0000-0003-1675-0677ORCID · reported

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 › phylogenetics › evolutionary history reconstruction
phylogeography		 0.112007
The automation of Nested Clade Phylogeographic Analysis · Bioinform. 2007
Bioinformatics and computational biology › population genetics › population parameter estimation
demographic inference		 0.012007
The automation of Nested Clade Phylogeographic Analysis · Bioinform. 2007
Bioinformatics and computational biology
population genetics		 0.012007
The automation of Nested Clade Phylogeographic Analysis · Bioinform. 2007

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

nested clade phylogeographic analysis · 0.1automation · 0.1
YearPublicationVenuePosition
2007 The automation of Nested Clade Phylogeographic Analysis
abstract
UNLABELLED: ANeCA is a fully automated implementation of Nested Clade Phylogeographic Analysis. This was originally developed by Templeton and colleagues, and has been used to infer, from the pattern of gene sequence polymorphisms in a geographically structured population, the historical demographic processes that have shaped its evolution. Until now it has been necessary to perform large parts of the procedure manually. We provide a program that will take data in Nexus sequential format, and directly output a set of inferences. The software also includes TCS v1.18 and GeoDis v2.2 as part of automation. AVAILABILITY: The software is available free of charge from http://www.rubic.rdg.ac.uk/~mahesh/software.html. The program is written in Java and requires the Java 1.4 Runtime Environment (or later) to run. The source code is included in the package, and includes the source from TCS and GeoDis. ANeCA, TCS and GeoDis are released under the GNU General Public License.
Mahesh Panchal
 Bioinform.1