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Bio.Phylo: A unified toolkit for processing, analyzing and visualizing phylogenetic trees in Biopython

Title: Bio.Phylo: A unified toolkit for processing, analyzing and visualizing phylogenetic trees in Biopython
Authors: Talevich Eric; Invergo Brandon M; Cock Peter JA; Chapman Brad A
Source: BMC Bioinformatics, Vol 13, Iss 1, p 209 (2012)
Publisher Information: BMC
Publication Year: 2012
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: Computer applications to medicine. Medical informatics; R858-859.7; Biology (General); QH301-705.5
Description: Background Ongoing innovation in phylogenetics and evolutionary biology has been accompanied by a proliferation of software tools, data formats, analytical techniques and web servers. This brings with it the challenge of integrating phylogenetic and other related biological data found in a wide variety of formats, and underlines the need for reusable software that can read, manipulate and transform this information into the various forms required to build computational pipelines. Results We built a Python software library for working with phylogenetic data that is tightly integrated with Biopython, a broad-ranging toolkit for computational biology. Our library, Bio.Phylo, is highly interoperable with existing libraries, tools and standards, and is capable of parsing common file formats for phylogenetic trees, performing basic transformations and manipulations, attaching rich annotations, and visualizing trees. We unified the modules for working with the standard file formats Newick, NEXUS and phyloXML behind a consistent and simple API, providing a common set of functionality independent of the data source. Conclusions Bio.Phylo meets a growing need in bioinformatics for working with heterogeneous types of phylogenetic data. By supporting interoperability with multiple file formats and leveraging existing Biopython features, this library simplifies the construction of phylogenetic workflows. We also provide examples of the benefits of building a community around a shared open-source project. Bio.Phylo is included with Biopython, available through the Biopython website, http://biopython.org .
Document Type: article in journal/newspaper
Language: English
Relation: http://www.biomedcentral.com/1471-2105/13/209; https://doaj.org/toc/1471-2105; https://doaj.org/article/9b1b85f61e484dcb8e55e8dbf5e47f5d
DOI: 10.1186/1471-2105-13-209
Availability: https://doi.org/10.1186/1471-2105-13-209; https://doaj.org/article/9b1b85f61e484dcb8e55e8dbf5e47f5d
Accession Number: edsbas.ADE6ED07
Database: BASE