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» Statistical significance in biological sequence analysis
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BMCBI
2010
81views more  BMCBI 2010»
13 years 7 months ago
Empirical Bayes Analysis of Sequencing-based Transcriptional Profiling without Replicates
Background: Recent technological advancements have made high throughput sequencing an increasingly popular approach for transcriptome analysis. Advantages of sequencing-based tran...
Zhijin Wu, Bethany D. Jenkins, Tatiana A. Rynearso...
BMCBI
2008
144views more  BMCBI 2008»
13 years 7 months ago
Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses
Background: The explosive growth of biological data provides opportunities for new statistical and comparative analyses of large information sets, such as alignments comprising te...
Olivo Miotto, Tin Wee Tan, Vladimir Brusic
ISMB
1993
13 years 8 months ago
Detection of Correlations in tRNA Sequences with Structural Implications
Using a flexible representation of biological sequences, we have performed a comparative analysis of 1208 known tRNA sequences. We believe we our technique is a more sensitive met...
Tod M. Klingler, Douglas L. Brutlag
BMCBI
2008
128views more  BMCBI 2008»
13 years 7 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
BMCBI
2007
148views more  BMCBI 2007»
13 years 7 months ago
Computation of significance scores of unweighted Gene Set Enrichment Analyses
Background: Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for in...
Andreas Keller, Christina Backes, Hans-Peter Lenho...