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The truth about mouse, human, worms and yeast

Genome comparisons are behind the powerful new annotation methods being developed to find all human genes, as well as genes from other genomes. Genomes are now frequently being studied in pairs to provide cross-comparison datasets. This 'Noah's Ark' approach often reveals unsuspected...

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Autores principales: Nelson, David R, Nebert, Daniel W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525071/
https://www.ncbi.nlm.nih.gov/pubmed/15601543
http://dx.doi.org/10.1186/1479-7364-1-2-146
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Nebert, Daniel W
author_facet Nelson, David R
Nebert, Daniel W
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description Genome comparisons are behind the powerful new annotation methods being developed to find all human genes, as well as genes from other genomes. Genomes are now frequently being studied in pairs to provide cross-comparison datasets. This 'Noah's Ark' approach often reveals unsuspected genes and may support the deletion of false-positive predictions. Joining mouse and human as the cross-comparison dataset for the first two mammals are: two Drosophila species, D. melanogaster and D. pseudoobscura; two sea squirts, Ciona intestinalis and Ciona savignyi; four yeast (Saccharomyces) species; two nematodes, Caenorhabditis elegans and Caenorhabditis briggsae; and two pufferfish (Takefugu rubripes and Tetraodon nigroviridis). Even genomes like yeast and C. elegans, which have been known for more than five years, are now being significantly improved. Methods developed for yeast or nematodes will now be applied to mouse and human, and soon to additional mammals such as rat and dog, to identify all the mammalian protein-coding genes. Current large disparities between human Unigene predictions (127,835 genes) and gene-scanning methods (45,000 genes) still need to be resolved. This will be the challenge during the next few years.
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spelling pubmed-35250712012-12-19 The truth about mouse, human, worms and yeast Nelson, David R Nebert, Daniel W Hum Genomics Genome Update Genome comparisons are behind the powerful new annotation methods being developed to find all human genes, as well as genes from other genomes. Genomes are now frequently being studied in pairs to provide cross-comparison datasets. This 'Noah's Ark' approach often reveals unsuspected genes and may support the deletion of false-positive predictions. Joining mouse and human as the cross-comparison dataset for the first two mammals are: two Drosophila species, D. melanogaster and D. pseudoobscura; two sea squirts, Ciona intestinalis and Ciona savignyi; four yeast (Saccharomyces) species; two nematodes, Caenorhabditis elegans and Caenorhabditis briggsae; and two pufferfish (Takefugu rubripes and Tetraodon nigroviridis). Even genomes like yeast and C. elegans, which have been known for more than five years, are now being significantly improved. Methods developed for yeast or nematodes will now be applied to mouse and human, and soon to additional mammals such as rat and dog, to identify all the mammalian protein-coding genes. Current large disparities between human Unigene predictions (127,835 genes) and gene-scanning methods (45,000 genes) still need to be resolved. This will be the challenge during the next few years. BioMed Central 2004-01-01 /pmc/articles/PMC3525071/ /pubmed/15601543 http://dx.doi.org/10.1186/1479-7364-1-2-146 Text en Copyright ©2004 Henry Stewart Publications
spellingShingle Genome Update
Nelson, David R
Nebert, Daniel W
The truth about mouse, human, worms and yeast
title The truth about mouse, human, worms and yeast
title_full The truth about mouse, human, worms and yeast
title_fullStr The truth about mouse, human, worms and yeast
title_full_unstemmed The truth about mouse, human, worms and yeast
title_short The truth about mouse, human, worms and yeast
title_sort truth about mouse, human, worms and yeast
topic Genome Update
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525071/
https://www.ncbi.nlm.nih.gov/pubmed/15601543
http://dx.doi.org/10.1186/1479-7364-1-2-146
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