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A unified gene catalog for the laboratory mouse reference genome

We report here a semi-automated process by which mouse genome feature predictions and curated annotations (i.e., genes, pseudogenes, functional RNAs, etc.) from Ensembl, NCBI and Vertebrate Genome Annotation database (Vega) are reconciled with the genome features in the Mouse Genome Informatics (MGI...

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Detalles Bibliográficos
Autores principales: Zhu, Y., Richardson, J. E., Hale, P., Baldarelli, R. M., Reed, D. J., Recla, J. M., Sinclair, R., Reddy, T. B. K., Bult, C. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534496/
https://www.ncbi.nlm.nih.gov/pubmed/26084703
http://dx.doi.org/10.1007/s00335-015-9571-1
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author Zhu, Y.
Richardson, J. E.
Hale, P.
Baldarelli, R. M.
Reed, D. J.
Recla, J. M.
Sinclair, R.
Reddy, T. B. K.
Bult, C. J.
author_facet Zhu, Y.
Richardson, J. E.
Hale, P.
Baldarelli, R. M.
Reed, D. J.
Recla, J. M.
Sinclair, R.
Reddy, T. B. K.
Bult, C. J.
author_sort Zhu, Y.
collection PubMed
description We report here a semi-automated process by which mouse genome feature predictions and curated annotations (i.e., genes, pseudogenes, functional RNAs, etc.) from Ensembl, NCBI and Vertebrate Genome Annotation database (Vega) are reconciled with the genome features in the Mouse Genome Informatics (MGI) database (http://www.informatics.jax.org) into a comprehensive and non-redundant catalog. Our gene unification method employs an algorithm (fjoin—feature join) for efficient detection of genome coordinate overlaps among features represented in two annotation data sets. Following the analysis with fjoin, genome features are binned into six possible categories (1:1, 1:0, 0:1, 1:n, n:1, n:m) based on coordinate overlaps. These categories are subsequently prioritized for assessment of annotation equivalencies and differences. The version of the unified catalog reported here contains more than 59,000 entries, including 22,599 protein-coding coding genes, 12,455 pseudogenes, and 24,007 other feature types (e.g., microRNAs, lincRNAs, etc.). More than 23,000 of the entries in the MGI gene catalog have equivalent gene models in the annotation files obtained from NCBI, Vega, and Ensembl. 12,719 of the features are unique to NCBI relative to Ensembl/Vega; 11,957 are unique to Ensembl/Vega relative to NCBI, and 3095 are unique to MGI. More than 4000 genome features fall into categories that require manual inspection to resolve structural differences in the gene models from different annotation sources. Using the MGI unified gene catalog, researchers can easily generate a comprehensive report of mouse genome features from a single source and compare the details of gene and transcript structure using MGI’s mouse genome browser.
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spelling pubmed-45344962015-08-20 A unified gene catalog for the laboratory mouse reference genome Zhu, Y. Richardson, J. E. Hale, P. Baldarelli, R. M. Reed, D. J. Recla, J. M. Sinclair, R. Reddy, T. B. K. Bult, C. J. Mamm Genome Article We report here a semi-automated process by which mouse genome feature predictions and curated annotations (i.e., genes, pseudogenes, functional RNAs, etc.) from Ensembl, NCBI and Vertebrate Genome Annotation database (Vega) are reconciled with the genome features in the Mouse Genome Informatics (MGI) database (http://www.informatics.jax.org) into a comprehensive and non-redundant catalog. Our gene unification method employs an algorithm (fjoin—feature join) for efficient detection of genome coordinate overlaps among features represented in two annotation data sets. Following the analysis with fjoin, genome features are binned into six possible categories (1:1, 1:0, 0:1, 1:n, n:1, n:m) based on coordinate overlaps. These categories are subsequently prioritized for assessment of annotation equivalencies and differences. The version of the unified catalog reported here contains more than 59,000 entries, including 22,599 protein-coding coding genes, 12,455 pseudogenes, and 24,007 other feature types (e.g., microRNAs, lincRNAs, etc.). More than 23,000 of the entries in the MGI gene catalog have equivalent gene models in the annotation files obtained from NCBI, Vega, and Ensembl. 12,719 of the features are unique to NCBI relative to Ensembl/Vega; 11,957 are unique to Ensembl/Vega relative to NCBI, and 3095 are unique to MGI. More than 4000 genome features fall into categories that require manual inspection to resolve structural differences in the gene models from different annotation sources. Using the MGI unified gene catalog, researchers can easily generate a comprehensive report of mouse genome features from a single source and compare the details of gene and transcript structure using MGI’s mouse genome browser. Springer US 2015-06-18 2015 /pmc/articles/PMC4534496/ /pubmed/26084703 http://dx.doi.org/10.1007/s00335-015-9571-1 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Zhu, Y.
Richardson, J. E.
Hale, P.
Baldarelli, R. M.
Reed, D. J.
Recla, J. M.
Sinclair, R.
Reddy, T. B. K.
Bult, C. J.
A unified gene catalog for the laboratory mouse reference genome
title A unified gene catalog for the laboratory mouse reference genome
title_full A unified gene catalog for the laboratory mouse reference genome
title_fullStr A unified gene catalog for the laboratory mouse reference genome
title_full_unstemmed A unified gene catalog for the laboratory mouse reference genome
title_short A unified gene catalog for the laboratory mouse reference genome
title_sort unified gene catalog for the laboratory mouse reference genome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534496/
https://www.ncbi.nlm.nih.gov/pubmed/26084703
http://dx.doi.org/10.1007/s00335-015-9571-1
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