CPC: assess the protein-coding potential of transcripts using sequence features and support vector machine
Clicks: 434
ID: 111404
2007
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Popular Article
30.0
/100
433 views
14 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Recent transcriptome studies have revealed that a large number of transcripts in mammals and other organisms do not encode proteins but function as noncoding RNAs (ncRNAs) instead. As millions of transcripts are generated by large-scale cDNA and EST sequencing projects every year, there is a need fo …
| Reference Key |
l2007nucleiccpc:
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Kong L;Zhang Y;Ye ZQ;Liu XQ;Zhao SQ;Wei L;Gao G;; |
| Journal | Nucleic Acids Research |
| Year | 2007 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
databases
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
genetic
Mice
RNA
animals
pubmed abstract
nih
national institutes of health
national library of medicine
reproducibility of results
research support
non-u.s. gov't
Molecular Sequence Data
Expressed Sequence Tags
transcription
genetic vectors
messenger / genetics*
pmid:17631615
pmc1933232
doi:10.1093/nar/gkm391
lei kong
yong zhang
ge gao
computational biology / methods*
nucleic acid
genetic code
genetic variation
protein biosynthesis*
proteins / genetics*
rna / classification
rna / genetics*
|
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.