The Dfam community resource of transposable element families, sequence models, and genome annotations

Abstract Dfam is an open access database of repetitive DNA families, sequence models, and genome annotations. The 3.0–3.3 releases of Dfam ( https://dfam.org ) represent an evolution from a proof-of-principle collection of transposable element families in model organisms into a community resource fo...

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Main Authors: Jessica Storer, Robert Hubley, Jeb Rosen, Travis J. Wheeler, Arian F. Smit
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Mobile DNA
Online Access:https://doi.org/10.1186/s13100-020-00230-y
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spelling doaj-4a5985beb52047e38bdd3952ad1d616e2021-01-17T12:17:44ZengBMCMobile DNA1759-87532021-01-0112111410.1186/s13100-020-00230-yThe Dfam community resource of transposable element families, sequence models, and genome annotationsJessica Storer0Robert Hubley1Jeb Rosen2Travis J. Wheeler3Arian F. Smit4Institute for Systems BiologyInstitute for Systems BiologyInstitute for Systems BiologyUniversity of MontanaInstitute for Systems BiologyAbstract Dfam is an open access database of repetitive DNA families, sequence models, and genome annotations. The 3.0–3.3 releases of Dfam ( https://dfam.org ) represent an evolution from a proof-of-principle collection of transposable element families in model organisms into a community resource for a broad range of species, and for both curated and uncurated datasets. In addition, releases since Dfam 3.0 provide auxiliary consensus sequence models, transposable element protein alignments, and a formalized classification system to support the growing diversity of organisms represented in the resource. The latest release includes 266,740 new de novo generated transposable element families from 336 species contributed by the EBI. This expansion demonstrates the utility of many of Dfam’s new features and provides insight into the long term challenges ahead for improving de novo generated transposable element datasets.https://doi.org/10.1186/s13100-020-00230-y
collection DOAJ
language English
format Article
sources DOAJ
author Jessica Storer
Robert Hubley
Jeb Rosen
Travis J. Wheeler
Arian F. Smit
spellingShingle Jessica Storer
Robert Hubley
Jeb Rosen
Travis J. Wheeler
Arian F. Smit
The Dfam community resource of transposable element families, sequence models, and genome annotations
Mobile DNA
author_facet Jessica Storer
Robert Hubley
Jeb Rosen
Travis J. Wheeler
Arian F. Smit
author_sort Jessica Storer
title The Dfam community resource of transposable element families, sequence models, and genome annotations
title_short The Dfam community resource of transposable element families, sequence models, and genome annotations
title_full The Dfam community resource of transposable element families, sequence models, and genome annotations
title_fullStr The Dfam community resource of transposable element families, sequence models, and genome annotations
title_full_unstemmed The Dfam community resource of transposable element families, sequence models, and genome annotations
title_sort dfam community resource of transposable element families, sequence models, and genome annotations
publisher BMC
series Mobile DNA
issn 1759-8753
publishDate 2021-01-01
description Abstract Dfam is an open access database of repetitive DNA families, sequence models, and genome annotations. The 3.0–3.3 releases of Dfam ( https://dfam.org ) represent an evolution from a proof-of-principle collection of transposable element families in model organisms into a community resource for a broad range of species, and for both curated and uncurated datasets. In addition, releases since Dfam 3.0 provide auxiliary consensus sequence models, transposable element protein alignments, and a formalized classification system to support the growing diversity of organisms represented in the resource. The latest release includes 266,740 new de novo generated transposable element families from 336 species contributed by the EBI. This expansion demonstrates the utility of many of Dfam’s new features and provides insight into the long term challenges ahead for improving de novo generated transposable element datasets.
url https://doi.org/10.1186/s13100-020-00230-y
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