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MapToGenome: A Comparative Genomic Tool that Aligns Transcript Maps to Sequenced Genomes

Efforts to generate whole genome assemblies and dense genetic maps have provided a wealth of gene positional information for several vertebrate species. Comparing the relative location of orthologous genes among these genomes provides perspective on genome evolution and can aid in translating geneti...

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Detalles Bibliográficos
Autores principales: Putta, Srikrishna, Smith, Jeramiah J., Staben, Chuck, Voss, S. Randal
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674635/
https://www.ncbi.nlm.nih.gov/pubmed/19430601
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author Putta, Srikrishna
Smith, Jeramiah J.
Staben, Chuck
Voss, S. Randal
author_facet Putta, Srikrishna
Smith, Jeramiah J.
Staben, Chuck
Voss, S. Randal
author_sort Putta, Srikrishna
collection PubMed
description Efforts to generate whole genome assemblies and dense genetic maps have provided a wealth of gene positional information for several vertebrate species. Comparing the relative location of orthologous genes among these genomes provides perspective on genome evolution and can aid in translating genetic information between distantly related organisms. However, large-scale comparisons between genetic maps and genome assemblies can prove challenging because genetic markers are commonly derived from transcribed sequences that are incompletely and variably annotated. We developed the program MapToGenome as a tool for comparing transcript maps and genome assemblies. MapToGenome processes sequence alignments between mapped transcripts and whole genome sequence while accounting for the presence of intronic sequences, and assigns orthology based on user-defined parameters. To illustrate the utility of this program, we used MapToGenome to process alignments between vertebrate genetic maps and genome assemblies 1) self/self alignments for maps and assemblies of the rat and zebrafish genome; 2) alignments between vertebrate transcript maps (rat, salamander, zebrafish, and medaka) and the chicken genome; and 3) alignments of the medaka and zebrafish maps to the pufferfish (Tetraodon nigroviridis) genome. Our results show that map-genome alignments can be improved by combining alignments across presumptive intron breaks and ignoring alignments for simple sequence length polymorphism (SSLP) marker sequences. Comparisons between vertebrate maps and genomes reveal broad patterns of conservation among vertebrate genomes and the differential effects of genome rearrangement over time and across lineages.
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spelling pubmed-26746352009-05-08 MapToGenome: A Comparative Genomic Tool that Aligns Transcript Maps to Sequenced Genomes Putta, Srikrishna Smith, Jeramiah J. Staben, Chuck Voss, S. Randal Evol Bioinform Online Original Research Efforts to generate whole genome assemblies and dense genetic maps have provided a wealth of gene positional information for several vertebrate species. Comparing the relative location of orthologous genes among these genomes provides perspective on genome evolution and can aid in translating genetic information between distantly related organisms. However, large-scale comparisons between genetic maps and genome assemblies can prove challenging because genetic markers are commonly derived from transcribed sequences that are incompletely and variably annotated. We developed the program MapToGenome as a tool for comparing transcript maps and genome assemblies. MapToGenome processes sequence alignments between mapped transcripts and whole genome sequence while accounting for the presence of intronic sequences, and assigns orthology based on user-defined parameters. To illustrate the utility of this program, we used MapToGenome to process alignments between vertebrate genetic maps and genome assemblies 1) self/self alignments for maps and assemblies of the rat and zebrafish genome; 2) alignments between vertebrate transcript maps (rat, salamander, zebrafish, and medaka) and the chicken genome; and 3) alignments of the medaka and zebrafish maps to the pufferfish (Tetraodon nigroviridis) genome. Our results show that map-genome alignments can be improved by combining alignments across presumptive intron breaks and ignoring alignments for simple sequence length polymorphism (SSLP) marker sequences. Comparisons between vertebrate maps and genomes reveal broad patterns of conservation among vertebrate genomes and the differential effects of genome rearrangement over time and across lineages. Libertas Academica 2007-02-14 /pmc/articles/PMC2674635/ /pubmed/19430601 Text en Copyright © 2007 The authors. http://creativecommons.org/licenses/by/3.0 This article is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0. (http://creativecommons.org/licenses/by/3.0)
spellingShingle Original Research
Putta, Srikrishna
Smith, Jeramiah J.
Staben, Chuck
Voss, S. Randal
MapToGenome: A Comparative Genomic Tool that Aligns Transcript Maps to Sequenced Genomes
title MapToGenome: A Comparative Genomic Tool that Aligns Transcript Maps to Sequenced Genomes
title_full MapToGenome: A Comparative Genomic Tool that Aligns Transcript Maps to Sequenced Genomes
title_fullStr MapToGenome: A Comparative Genomic Tool that Aligns Transcript Maps to Sequenced Genomes
title_full_unstemmed MapToGenome: A Comparative Genomic Tool that Aligns Transcript Maps to Sequenced Genomes
title_short MapToGenome: A Comparative Genomic Tool that Aligns Transcript Maps to Sequenced Genomes
title_sort maptogenome: a comparative genomic tool that aligns transcript maps to sequenced genomes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674635/
https://www.ncbi.nlm.nih.gov/pubmed/19430601
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