RECOMB
2012
Springer
11 years 7 months ago
2012
Springer
We develop a novel and general approach to estimating the accuracy of protein multiple sequence alignments without knowledge of a reference alignment, and use our approach to addre...
NAR
2011
12 years 7 months ago
2011
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...
NAR
2007
13 years 4 months ago
2007
Multiple sequence alignments are essential in homology inference, structure modeling, functional prediction and phylogenetic analysis. We developed a web server that constructs mu...
NAR
2007
13 years 4 months ago
2007
COMPASS is a method for homology detection and local alignment construction based on the comparison of multiple sequence alignments (MSAs). The method derives numerical profiles f...
BMCBI
2004
13 years 4 months ago
2004
Background: Profile-based analysis of multiple sequence alignments (MSA) allows for accurate comparison of protein families. Here, we address the problems of detecting statistical...
BMCBI
2004
13 years 4 months ago
2004
Background: Computer programs for the generation of multiple sequence alignments such as "Clustal W" allow detection of regions that are most conserved among many sequen...
BMCBI
2004
13 years 4 months ago
2004
Background: Alignment and comparison of related genome sequences is a powerful method to identify regions likely to contain functional elements. Such analyses are data intensive, ...
BMCBI
2005
13 years 4 months ago
2005
Background: The alignment of multiple protein sequences is a fundamental step in the analysis of biological data. It has traditionally been applied to analyzing protein families f...
NAR
2008
13 years 4 months ago
2008
Multiple sequence alignments are essential in computational sequence and structural analysis, with applications in homology detection, structure modeling, function prediction and ...
NAR
2008
13 years 4 months ago
2008
The Generation Challenge Programme (GCP; www.generationcp.org) has developed an online resource documenting stress-responsive genes comparatively across plant species. This public...