The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
NCBI RefSeq: reference sequence standards through 25 years of curation and annotation
Abstract
Reference sequences and annotations serve as the foundation for many lines of research today, from organism and sequence identification to providing a core description of the genes, transcripts and proteins found in an organism's genome. Interpretation of data including transcriptomics, proteomics, sequence variation and comparative analyses based on reference gene annotations informs our understanding of gene function and possible disease mechanisms, leading to new biomedical discoveries. The Reference Sequence (RefSeq) resource created at the National Center for Biotechnology Information (NCBI) leverages both automatic processes and expert curation to create a robust set of reference sequences of genomic, transcript and protein data spanning the tree of life. RefSeq continues to refine its annotation and quality control processes and utilize better quality genomes resulting from advances in sequencing technologies as well as RNA-Seq data to produce high-quality annotated genomes, ortholog predictions across more organisms and other products that are easily accessible through multiple NCBI resources. This report summarizes the current status of the eukaryotic, prokaryotic and viral RefSeq resources, with a focus on eukaryotic annotation, the increase in taxonomic representation and the effect it will have on comparative genomics. The RefSeq resource is publicly accessible at https://www.ncbi.nlm.nih.gov/refseq.
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“The main difference between NCBI’s Eukaryotic Genome Annotation Pipeline (EGAP) and Ensembl’s Gene annotation system is the way in which they incorporate several lines of evidence into the end gene model results.”
From Annotation matters: the effect of structural gene annotation on orthology inference (2025) · cites this paper as Goldfarb et al. 2025
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“In NCBI’s EGAP, the alignments from all evidence types are incorporated into their gene prediction tool “Gnomon”, which is supplemented with an ab initio HMM-based algorithm. Finally, there is a best model selection step which again includes models coming from other sources, such as known and curated RefSeq transcripts (Goldfarb et al. 2025).”
From Annotation matters: the effect of structural gene annotation on orthology inference (2025) · cites this paper as Goldfarb et al. 2025
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“Indeed, the Ensembl and NCBI eukaryotic gene annotation pipelines have stringent requirements to include a solely ab initio model in their final gene set (Aken et al. 2016, Goldfarb et al. 2025).”
From Annotation matters: the effect of structural gene annotation on orthology inference (2025) · cites this paper as Goldfarb et al. 2025
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STAR: ultrafast universal RNA-seq aligner
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featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
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The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
O'Leary, N. A., Wright, M. W., Brister, J. R., Ciufo, S., Haddad, D., McVeigh, R., Rajput, B., Robbertse, B., Smith-White, B., Ako-Adjei, D., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1189 · Cited by 6,357
Self-citationManni, M., Berkeley, M. R., Seppey, M., Simão, F. A., & Zdobnov, E. M. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab199 · Cited by 6,187
The complete sequence of a human genome
Nurk, S., Koren, S., Rhie, A., Rautiainen, M., Bzikadze, A. V., Mikheenko, A., Vollger, M. R., Altemose, N., Uralsky, L., Gershman, A., et al. (2022) · Science · doi:10.1126/science.abj6987 · Cited by 3,136
Self-citationA joint NCBI and EMBL-EBI transcript set for clinical genomics and research
Morales, J., Pujar, S., Loveland, J. E., Astashyn, A., Bennett, R., Berry, A., Cox, E., Davidson, C., Ermolaeva, O., Farrell, C. M., et al. (2022) · Nature · doi:10.1038/s41586-022-04558-8 · Cited by 571
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Cited by
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Annotation matters: the effect of structural gene annotation on orthology inference
Prieto-Baños, S., Nevers, Y., Altenhoff, A., Warwick Vesztrocy, A., Dessimoz, C., & Glover, N. M. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf365 · Cited by 19
Malovichko, Y. V., Bein, B., Gonzales-Irribarren, A., Leushkin, E., Hilgers, L., Stephen, A., Yi, X., Albertini, M., Stadager, T., Zumpt, M., et al. (2026) · doi:10.64898/2026.06.30.735536 · Cited by 5
Metadata
- Authors
- Goldfarb, T., Kodali, V. K., Pujar, S., Brover, V., Robbertse, B., Farrell, C. M., Oh, D.-H., Astashyn, A., Ermolaeva, O., Haddad, D., Hlavina, W., Hoffman, J., Jackson, J. D., Joardar, V. S., Kristensen, D., Masterson, P., McGarvey, K. M., McVeigh, R., Mozes, E., Murphy, M. R., Schafer, S. S., Souvorov, A., Spurrier, B., Strope, P. K., Sun, H., Vatsan, A. R., Wallin, C., Webb, D., Brister, J. R., Hatcher, E., Kimchi, A., Klimke, W., Marchler-Bauer, A., Pruitt, K. D., Thibaud-Nissen, F., & Murphy, T. D.
- Affiliations
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health , 45 Center Drive, Bethesda , MD 20894 ,
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2024-11-11
- Volume
- 53
- Issue
- D1
- Pages
- D243-D257
- ISSN
- 0305-1048
- 1362-4962
- Cited by
- 455
- References
- 8
- Language
- en
- Funders
- National Center for Biotechnology Information
- National Library of Medicine
- National Institutes of Health
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