iHMMune-align: hidden Markov model-based alignment and identification of germline genes in rearranged immunoglobulin gene sequences.
Bruno A. GaëtaHarald R. MalmingKatherine J. L. JacksonMichael E. BainPatrick WilsonAndrew M. CollinsPublished in: Bioinform. (2007)
Keyphrases
- sequence alignment
- genomic sequences
- comparative genomics
- gene expression
- coding regions
- gene expression data
- dna sequences
- microarray
- gene regulatory networks
- rna sequences
- gene ontology
- multiple sequence alignment
- gene selection
- transcription factor binding sites
- disease genes
- microarray gene expression data
- gene prediction
- phylogenetic analysis
- binding sites
- escherichia coli
- microarray data
- gene clusters
- microarray expression data
- candidate genes
- differentially expressed genes
- biologically meaningful
- gene structure prediction
- gene products
- dna microarray data
- genome sequences
- alternative splicing
- gene expression patterns
- sequenced genomes
- gene function
- biological processes
- biomedical literature
- regulatory networks
- gene expression profiles
- gene expression analysis
- protein sequences
- human genome
- gene regulation
- saccharomyces cerevisiae
- global alignment
- gene gene
- gene networks
- microarray datasets
- microarray analysis
- dna microarray
- homo sapiens
- gene sets
- cancer classification
- biological entities
- genome scale
- multiple sequence alignments
- computational biology
- computational methods
- cell cycle
- biological data
- sequence similarity
- microarray gene
- feature selection