The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Ensembl comparative genomics resources
Open accessAbstract
Evolution provides the unifying framework with which to understand biology. The coherent investigation of genic and genomic data often requires comparative genomics analyses based on whole-genome alignments, sets of homologous genes and other relevant datasets in order to evaluate and answer evolutionary-related questions. However, the complexity and computational requirements of producing such data are substantial: this has led to only a small number of reference resources that are used for most comparative analyses. The Ensembl comparative genomics resources are one such reference set that facilitates comprehensive and reproducible analysis of chordate genome data. Ensembl computes pairwise and multiple whole-genome alignments from which large-scale synteny, per-base conservation scores and constrained elements are obtained. Gene alignments are used to define Ensembl Protein Families, GeneTrees and homologies for both protein-coding and non-coding RNA genes. These resources are updated frequently and have a consistent informatics infrastructure and data presentation across all supported species. Specialized web-based visualizations are also available including synteny displays, collapsible gene tree plots, a gene family locator and different alignment views. The Ensembl comparative genomics infrastructure is extensively reused for the analysis of non-vertebrate species by other projects including Ensembl Genomes and Gramene and much of the information here is relevant to these projects. The consistency of the annotation across species and the focus on vertebrates makes Ensembl an ideal system to perform and support vertebrate comparative genomic analyses. We use robust software and pipelines to produce reference comparative data and make it freely available. Database URL: http://www.ensembl.org.
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OrthoFinder: phylogenetic orthology inference for comparative genomics
Emms, D. M., & Kelly, S. (2019) · Genome Biology · doi:10.1186/s13059-019-1832-y · Cited by 7,676
CADD: predicting the deleteriousness of variants throughout the human genome
Rentzsch, P., Witten, D., Cooper, G. M., Shendure, J., & Kircher, M. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1016 · Cited by 3,534
The Human Transcription Factors
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Self-citationYates, A. D., Achuthan, P., Akanni, W., Allen, J., Allen, J., Alvarez-Jarreta, J., Amode, M. R., Armean, I. M., Azov, A. G., Bennett, R., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz966 · Cited by 1,152
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Metadata
- Authors
- Herrero, J., Muffato, M., Beal, K., Fitzgerald, S., Gordon, L., Pignatelli, M., Vilella, A. J., Searle, S. M. J., Amode, R., Brent, S., Spooner, W., Kulesha, E., Yates, A., & Flicek, P.
- Venue
- Database
- Publisher
- Oxford University Press (OUP)
- Published
- 2016
- Volume
- 2016
- Pages
- bav096
- ISSN
- 1758-0463 (ISSN-L)
- OpenAlex
- W2281531600
- Cited by
- 434
- References
- 73
- FWCI
- 27.99
- Type
- journal article
- Language
- en
- Open access
- gold
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