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...
Dan F. DeBlasio, Travis J. Wheeler, John D. Kececi...
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...
Multiple sequence alignments are essential in homology inference, structure modeling, functional prediction and phylogenetic analysis. We developed a web server that constructs mu...
Jimin Pei, Bong-Hyun Kim, Ming Tang, Nick V. Grish...
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...
Ruslan Sadreyev, Ming Tang, Bong-Hyun Kim, Nick V....
Background: Profile-based analysis of multiple sequence alignments (MSA) allows for accurate comparison of protein families. Here, we address the problems of detecting statistical...
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...
Olga V. Matveeva, Brian T. Foley, Vladimir A. Nemt...
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, ...
Gregory M. Cooper, Senthil A. G. Singaravelu, Aren...
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...
Multiple sequence alignments are essential in computational sequence and structural analysis, with applications in homology detection, structure modeling, function prediction and ...
The Generation Challenge Programme (GCP; www.generationcp.org) has developed an online resource documenting stress-responsive genes comparatively across plant species. This public...
Samart Wanchana, Supat Thongjuea, Victor Jun M. Ul...