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» eGIFT: Mining Gene Information from the Literature
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BMCBI
2008
114views more  BMCBI 2008»
13 years 7 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
NAR
2008
74views more  NAR 2008»
13 years 7 months ago
Gene Ontology annotations at SGD: new data sources and annotation methods
The Saccharomyces Genome Database (SGD; http:// www.yeastgenome.org/) collects and organizes biological information about the chromosomal features and gene products of the budding...
Eurie L. Hong, Rama Balakrishnan, Qing Dong, Karen...
BMCBI
2004
150views more  BMCBI 2004»
13 years 7 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
BMCBI
2004
229views more  BMCBI 2004»
13 years 7 months ago
Automatic annotation of protein motif function with Gene Ontology terms
Background: Conserved protein sequence motifs are short stretches of amino acid sequence patterns that potentially encode the function of proteins. Several sequence pattern search...
Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishna...
BIOCOMP
2006
13 years 9 months ago
Data Mining of ESTs for Genetic Improvement of Salt Tolerance in Wheat
A total of 4,131 expressed sequence tags (ESTs) were selected from wheat EST database (http://wheat.pw.usda.gov/cgi-bin/westsql/est_lib.cgi.) to identify genic regions differing a...
Meral Unal, Ismail Cakmak, Yildiz Aydin, Aysen Yum...