RefSeq: an update on mammalian reference sequences
Clicks: 1
ID: 299364
2013
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #1,031 of 1,214 articles by views in Nucleic Acids Research
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,214 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The National Center for Biotechnology Information (NCBI) Reference Sequence (RefSeq) database is a collection of annotated genomic, transcript and protein sequence records derived from data in public sequence archives and from computation, curation and collaboration (http://www.ncbi.nlm.nih.gov/refseq/). We report here on growth of the mammalian and human subsets, changes to NCBI's eukaryotic annotation pipeline and modifications affecting transcript and protein records. Recent changes to NCBI's eukaryotic genome annotation pipeline provide higher throughput, and the addition of RNAseq data to the pipeline results in a significant expansion of the number of transcripts and novel exons annotated on mammalian RefSeq genomes. Recent annotation changes include reporting supporting evidence for transcript records, modification of exon feature annotation and the addition of a structured report of gene and sequence attributes of biological interest. We also describe a revised protein annotation policy for alternatively spliced transcripts with more divergent predicted proteins and we summarize the current status of the RefSeqGene project.
| Reference Key |
openalex_W2136101247
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Kim D. Pruitt, Garth Brown, Susan M. Hiatt, Françoise Thibaud‐Nissen, Alexander Astashyn, Olga Ermolaeva, Catherine M. Farrell, Jennifer Hart, Melissa Landrum, Kelly M. McGarvey, Michael R. Murphy, Nuala A. O’Leary, Shashikant Pujar, Bhanu Rajput, Sanjida H Rangwala, Lillian D. Riddick, Andrei Shkeda, Hanzhen Sun, Pamela Tamez, Raymond E. Tully, Craig Wallin, David Webb, Janet A. Weber, Wendy Wu, Michael DiCuccio, Paul Kitts, Donna Maglott, Terence D. Murphy, James M. Ostell |
| Journal | Nucleic Acids Research |
| Year | 2013 |
| DOI |
10.1093/nar/gkt1114
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.