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The Genome 10K Project: A Way Forward
Open accessAbstract
The Genome 10K Project was established in 2009 by a consortium of biologists and genome scientists determined to facilitate the sequencing and analysis of the complete genomes of 10,000 vertebrate species. Since then the number of selected and initiated species has risen from ∼26 to 277 sequenced or ongoing with funding, an approximately tenfold increase in five years. Here we summarize the advances and commitments that have occurred by mid-2014 and outline the achievements and present challenges of reaching the 10,000-species goal. We summarize the status of known vertebrate genome projects, recommend standards for pronouncing a genome as sequenced or completed, and provide our present and future vision of the landscape of Genome 10K. The endeavor is ambitious, bold, expensive, and uncertain, but together the Genome 10K Consortium of Scientists and the worldwide genomics community are moving toward their goal of delivering to the coming generation the gift of genome empowerment for many vertebrate species.
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“The Vertebrate Genomes Project38 led by the Genome 10K39 and the Earth BioGenome Project40, among others, aim to release thousands of new, high-quality genome assemblies over the next decade.”
From Progressive Cactus is a multiple-genome aligner for the thousand-genome era (2020) · cites this paper as [39]
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“Genome sequencing and assembly have become increasingly affordable and computationally tractable thanks to the development of long-read sequencing technologies like the Pacific Biosciences and Oxford Nanopore platforms (52); the development of DNA proximity ligation sequencing techniques, like Hi-C, for genome scaffolding (53–55); and the efforts of genome sequencing consortia (1, 2, 4, 56)”
From Topological Approaches in Animal Comparative Genomics (2026) · cites this paper as [56]
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“The number of whole-genome assemblies for species throughout the tree of life continues to grow at a very fast rate , and efforts are underway to produce thousands more (Koepfli et al. 2015;Lewin et al. 2018).”
From RepeatModeler2 for automated genomic discovery of transposable element families (2020) · cites this paper as Koepfli et al. 2015
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Metadata
- Authors
- Koepfli, K.-P., Paten, B., Scientists, T. G. 1. C. O., & O’Brien, S. J.
- Affiliations
- St Petersburg University (RU)
- New England Biolabs (United States) (US)
- Venue
- Annual Review of Animal Biosciences
- Publisher
- Annual Reviews
- Published
- 2015-02-16
- Volume
- 3
- Issue
- 1
- Pages
- 57-111
- ISSN
- 2165-8102 (ISSN-L)
- 2165-8110
- PMC
- PMC5837290
- OpenAlex
- W2152882637
- Cited by
- 311
- References
- 35
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- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Animal Biosciences (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (acceptedVersion)
- NSUWorks (Nova Southeastern University) (submittedVersion)
- University of Canberra Research Portal (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion)
- Funders
- National Human Genome Research Institute (U54HG007990)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Chromosomal and Genetic Variations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
- Keywords
- vertebrate genomes, genome sequencing, species selection
- MeSH terms
- Animals, Forecasting, Humans, Species Specificity, Vertebrates, Genome, Computational Biology, Genomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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