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» Using Multiple Alignments to Improve Gene Prediction
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132
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BMCBI
2006
120views more  BMCBI 2006»
15 years 3 months ago
A factor analysis model for functional genomics
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Rafal Kustra, Romy Shioda, Mu Zhu
109
Voted
BMCBI
2010
103views more  BMCBI 2010»
15 years 3 months ago
MTRAP: Pairwise sequence alignment algorithm by a new measure based on transition probability between two consecutive pairs of r
Background: Sequence alignment is one of the most important techniques to analyze biological systems. It is also true that the alignment is not complete and we have to develop it ...
Toshihide Hara, Keiko Sato, Masanori Ohya
139
Voted
BMCBI
2006
136views more  BMCBI 2006»
15 years 3 months ago
EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences
Background: Understanding gene regulatory networks has become one of the central research problems in bioinformatics. More than thirty algorithms have been proposed to identify DN...
Jianjun Hu, Yifeng D. Yang, Daisuke Kihara
117
Voted
BMCBI
2010
116views more  BMCBI 2010»
15 years 3 months ago
Predicting success of oligomerized pool engineering (OPEN) for zinc finger target site sequences
Background: Precise and efficient methods for gene targeting are critical for detailed functional analysis of genomes and regulatory networks and for potentially improving the eff...
Jeffry D. Sander, Deepak Reyon, Morgan L. Maeder, ...
157
Voted
BIOINFORMATICS
2011
14 years 10 months ago
Integrative network alignment reveals large regions of global network similarity in yeast and human
Motivation: High-throughput methods for detecting molecular interactions have produced large sets of biological network data with much more yet to come. Analogous to sequence alig...
Oleksii Kuchaiev, Natasa Przulj