TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets
Clicks: 2
ID: 273227
2003
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
Steady Performance
0.3
/100
2 views
1 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #456 of 456 articles by views in Bioinformatics
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 456 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
Abstract. TGICL is a pipeline for analysis of large Expressed Sequence
Tags (EST) and mRNA databases in which the sequences are first
clustered based on pairwis
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (26 words).
Try re-searching for a better abstract.
| Reference Key |
geo2003bioinformaticstigr
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Pertea, Geo;Huang, Xiaoqiu;Liang, Feng;Antonescu, Valentin;Sultana, Razvan;Karamycheva, Svetlana;Lee, Yuandan;White, Joseph;Cheung, Foo;Parvizi, Babak;Tsai, Jennifer;Quackenbush, John; |
| Journal | Bioinformatics |
| Year | 2003 |
| DOI |
DOI not found
|
| 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.