The TIGR Plant Repeat Databases: a collective resource for the identification of repetitive sequences in plants
Clicks: 167
ID: 266197
2004
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
30.0
/100
166 views
39 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
In a number of higher plants, a substantial portion of the genome is composed of repetitive sequences that can hinder genome annotation and sequencing efforts. To better understand the nature of repetitive sequences in plants and provide a resource for ...
| Reference Key |
buell2004nucleicthe
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Shu Ouyang, C. Robin Buell;Shu Ouyang;C. Robin Buell; |
| Journal | Nucleic Acids Research |
| Year | 2004 |
| DOI |
10.1093/nar/gkh099
|
| URL | |
| Keywords |
Internet
databases
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
pubmed abstract
nih
national institutes of health
national library of medicine
research support
u.s. gov't
non-p.h.s.
DNA
C Robin Buell
computational biology
plant / genetics
information storage and retrieval
repetitive sequences
nucleic acid*
pmid:14681434
pmc308833
doi:10.1093/nar/gkh099
shu ouyang
plants / classification
plants / 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.