Background: One of the primary tasks in analysing gene expression data is finding genes that are differentially expressed in different samples. Multiple testing issues due to the ...
Background: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases...
Background: General protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis an...
Andy Pang, Andrew D. Smith, Paulo A. S. Nuin, Elis...
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Background: High quality sequence alignments of RNA and DNA sequences are an important prerequisite for the comparative analysis of genomic sequence data. Nucleic acid sequences, ...
Roman R. Stocsits, Ivo L. Hofacker, Claudia Fried,...