testing the coding potential of conserved short genomic sequences
Clicks: 101
ID: 195752
2010
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
Emerging Content
28.5
/100
101 views
9 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #190 of 194 articles by views in journal of hepatocellular carcinoma
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 194 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
Proposed is a procedure to test whether a genomic sequence contains coding DNA, called a coding potential region. The procedure tests the coding potential of conserved short genomic sequence, in which the assumptions on the probability models of gene structures
are relaxed. Thus, it is expected to provide additional candidate regions that contain coding
DNAs to the current genomic database. The procedure was applied to the set of highly conserved human-mouse sequences in the genome database at the University of California at Santa Cruz. For sequences containing
RefSeq coding exons, the procedure detected 91.3% regions having coding potential in this
set, which covers 83% of the human RefSeq coding exons, at a 2.6% false positive rate. The
procedure detected 12,688 novel short regions with coding potential at the false discovery
rate <0.05; 65.7% of the novel regions are between annotated genes.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (127 words).
Try re-searching for a better abstract.
| Reference Key |
wu2010advancestesting
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Jing Wu |
| Journal | journal of hepatocellular carcinoma |
| Year | 2010 |
| DOI |
10.1155/2010/287070
|
| URL | |
| Keywords |
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.