Evidence map›Paper›PMID 21352572›Full record

ArticleBMC bioinformatics2011

BIO::Phylo-phyloinformatic analysis using perl.

Rutger A Vos, Jason Caravas, Klaas Hartmann, Mark A Jensen, Chase Miller

Abstract read
In one paragraph

Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Core genome expansion inIranian journal of microbiology · 2025
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  4. The Generalized Robinson-Foulds Distance for Phylogenetic Trees.Journal of computational biology : a journal of computational molecular cell biology · 2021
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  15. Pan-vertebrate comparative genomics unmasks retrovirus macroevolution.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  16. Article
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  18. Broad-scale phylogenomics provides insights into retrovirus-host evolution.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rutger A VosSchool of Biological Sciences, University of Reading, UK. R.A.Vos@reading.ac.uk
Jason Caravas
Klaas Hartmann
Mark A Jensen
Chase Miller

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhyloinformatic analyses involve large amounts of data and metadata of complex structure. Collecting, processing, analyzing, visualizing and summarizing these data and metadata should be done in steps that can be automated and reproduced. This requires flexible, modular toolkits that can represent, manipulate and persist phylogenetic data and metadata as objects with programmable interfaces.

resultsThis paper presents Bio::Phylo, a Perl5 toolkit for phyloinformatic analysis. It implements classes and methods that are compatible with the well-known BioPerl toolkit, but is independent from it (making it easy to install) and features a richer API and a data model that is better able to manage the complex relationships between different fundamental data and metadata objects in phylogenetics. It supports commonly used file formats for phylogenetic data including the novel NeXML standard, which allows rich annotations of phylogenetic data to be stored and shared. Bio::Phylo can interact with BioPerl, thereby giving access to the file formats that BioPerl supports. Many methods for data simulation, transformation and manipulation, the analysis of tree shape, and tree visualization are provided.

conclusionsBio::Phylo is composed of 59 richly documented Perl5 modules. It has been deployed successfully on a variety of computer architectures (including various Linux distributions, Mac OS X versions, Windows, Cygwin and UNIX-like systems). It is available as open source (GPL) software from http://search.cpan.org/dist/Bio-Phylo.

Indexed as

PhylogenySoftwareComputational BiologyComputer Systems

Identifiers

PMID21352572
PMCPMC3056726

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.