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» Using Multiple Alignments to Improve Gene Prediction
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128
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BMCBI
2005
73views more  BMCBI 2005»
15 years 3 months ago
Evaluation of Glycine max mRNA clusters
Background: Clustering the ESTs from a large dataset representing a single species is a convenient starting point for a number of investigations into gene discovery, genome evolut...
Ronald L. Frank, Fikret Erçal
162
Voted
ICMLA
2010
15 years 1 months ago
Smoothing Gene Expression Using Biological Networks
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
138
Voted
BMCBI
2010
133views more  BMCBI 2010»
15 years 3 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
137
Voted
BMCBI
2002
99views more  BMCBI 2002»
15 years 3 months ago
FunSpec: a web-based cluster interpreter for yeast
Background: For effective exposition of biological information, especially with regard to analysis of large-scale data types, researchers need immediate access to multiple categor...
Mark D. Robinson, Jörg Grigull, Naveed Mohamm...
137
Voted
BMCBI
2007
148views more  BMCBI 2007»
15 years 3 months ago
WeederH: an algorithm for finding conserved regulatory motifs and regions in homologous sequences
Background: This work addresses the problem of detecting conserved transcription factor binding sites and in general regulatory regions through the analysis of sequences from homo...
Giulio Pavesi, Federico Zambelli, Graziano Pesole