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» Using Multiple Alignments to Improve Gene Prediction
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NAACL
2007
13 years 8 months ago
Combination of Statistical Word Alignments Based on Multiple Preprocessing Schemes
We present an approach to using multiple preprocessing schemes to improve statistical word alignments. We show a relative reduction of alignment error rate of about 38%.
Jakob Elming, Nizar Habash
GCB
2003
Springer
105views Biometrics» more  GCB 2003»
14 years 16 days ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski
BMCBI
2007
179views more  BMCBI 2007»
13 years 7 months ago
Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data
Background: The wide use of Affymetrix microarray in broadened fields of biological research has made the probeset annotation an important issue. Standard Affymetrix probeset anno...
Hui Yu, Feng Wang, Kang Tu, Lu Xie, Yuan-Yuan Li, ...
NAR
2011
157views Computer Vision» more  NAR 2011»
12 years 10 months ago
PlantTFDB 2.0: update and improvement of the comprehensive plant transcription factor database
We updated the plant transcription factor (TF) database to version 2.0 (PlantTFDB 2.0, http:// planttfdb.cbi.pku.edu.cn) which contains 53 319 putative TFs predicted from 49 speci...
He Zhang, Jinpu Jin, Liang Tang, Yi Zhao, Xiaochen...
ALMOB
2008
160views more  ALMOB 2008»
13 years 7 months ago
Syntenator: Multiple gene order alignments with a gene-specific scoring function
Background: Identification of homologous regions or conserved syntenies across genomes is one crucial step in comparative genomics. This task is usually performed by genome alignm...
Christian Rödelsperger, Christoph Dieterich