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TOLKIN – Tree of Life Knowledge and Information Network: Filling a Gap for Collaborative Research in Biological Systematics

The development of biological informatics infrastructure capable of supporting growing data management and analysis environments is an increasing need within the systematics biology community. Although significant progress has been made in recent years on developing new algorithms and tools for anal...

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Autores principales: Beaman, Reed S., Traub, Greg H., Dell, Christopher A., Santiago, Nestor, Koh, Jin, Cellinese, Nico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377657/
https://www.ncbi.nlm.nih.gov/pubmed/22724002
http://dx.doi.org/10.1371/journal.pone.0039352
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author Beaman, Reed S.
Traub, Greg H.
Dell, Christopher A.
Santiago, Nestor
Koh, Jin
Cellinese, Nico
author_facet Beaman, Reed S.
Traub, Greg H.
Dell, Christopher A.
Santiago, Nestor
Koh, Jin
Cellinese, Nico
author_sort Beaman, Reed S.
collection PubMed
description The development of biological informatics infrastructure capable of supporting growing data management and analysis environments is an increasing need within the systematics biology community. Although significant progress has been made in recent years on developing new algorithms and tools for analyzing and visualizing large phylogenetic data and trees, implementation of these resources is often carried out by bioinformatics experts, using one-off scripts. Therefore, a gap exists in providing data management support for a large set of non-technical users. The TOLKIN project (Tree of Life Knowledge and Information Network) addresses this need by supporting capabilities to manage, integrate, and provide public access to molecular, morphological, and biocollections data and research outcomes through a collaborative, web application. This data management framework allows aggregation and import of sequences, underlying documentation about their source, including vouchers, tissues, and DNA extraction. It combines features of LIMS and workflow environments by supporting management at the level of individual observations, sequences, and specimens, as well as assembly and versioning of data sets used in phylogenetic inference. As a web application, the system provides multi-user support that obviates current practices of sharing data sets as files or spreadsheets via email.
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spelling pubmed-33776572012-06-21 TOLKIN – Tree of Life Knowledge and Information Network: Filling a Gap for Collaborative Research in Biological Systematics Beaman, Reed S. Traub, Greg H. Dell, Christopher A. Santiago, Nestor Koh, Jin Cellinese, Nico PLoS One Research Article The development of biological informatics infrastructure capable of supporting growing data management and analysis environments is an increasing need within the systematics biology community. Although significant progress has been made in recent years on developing new algorithms and tools for analyzing and visualizing large phylogenetic data and trees, implementation of these resources is often carried out by bioinformatics experts, using one-off scripts. Therefore, a gap exists in providing data management support for a large set of non-technical users. The TOLKIN project (Tree of Life Knowledge and Information Network) addresses this need by supporting capabilities to manage, integrate, and provide public access to molecular, morphological, and biocollections data and research outcomes through a collaborative, web application. This data management framework allows aggregation and import of sequences, underlying documentation about their source, including vouchers, tissues, and DNA extraction. It combines features of LIMS and workflow environments by supporting management at the level of individual observations, sequences, and specimens, as well as assembly and versioning of data sets used in phylogenetic inference. As a web application, the system provides multi-user support that obviates current practices of sharing data sets as files or spreadsheets via email. Public Library of Science 2012-06-18 /pmc/articles/PMC3377657/ /pubmed/22724002 http://dx.doi.org/10.1371/journal.pone.0039352 Text en Beaman et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Beaman, Reed S.
Traub, Greg H.
Dell, Christopher A.
Santiago, Nestor
Koh, Jin
Cellinese, Nico
TOLKIN – Tree of Life Knowledge and Information Network: Filling a Gap for Collaborative Research in Biological Systematics
title TOLKIN – Tree of Life Knowledge and Information Network: Filling a Gap for Collaborative Research in Biological Systematics
title_full TOLKIN – Tree of Life Knowledge and Information Network: Filling a Gap for Collaborative Research in Biological Systematics
title_fullStr TOLKIN – Tree of Life Knowledge and Information Network: Filling a Gap for Collaborative Research in Biological Systematics
title_full_unstemmed TOLKIN – Tree of Life Knowledge and Information Network: Filling a Gap for Collaborative Research in Biological Systematics
title_short TOLKIN – Tree of Life Knowledge and Information Network: Filling a Gap for Collaborative Research in Biological Systematics
title_sort tolkin – tree of life knowledge and information network: filling a gap for collaborative research in biological systematics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377657/
https://www.ncbi.nlm.nih.gov/pubmed/22724002
http://dx.doi.org/10.1371/journal.pone.0039352
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