Pairagon: a highly accurate, HMM-based cDNA-to-genome aligner
Author(s) -
David V. Lu,
Randall H. Brown,
Manimozhiyan Arumugam,
Michael R. Brent
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp273
Subject(s) - genome , genome project , hidden markov model , computer science , human genome , computational biology , complementary dna , heuristics , reference genome , multiple sequence alignment , sequence alignment , rna splicing , alignment free sequence analysis , genetics , exon , sequence (biology) , biology , artificial intelligence , gene , peptide sequence , rna , operating system
The most accurate way to determine the intron-exon structures in a genome is to align spliced cDNA sequences to the genome. Thus, cDNA-to-genome alignment programs are a key component of most annotation pipelines. The scoring system used to choose the best alignment is a primary determinant of alignment accuracy, while heuristics that prevent consideration of certain alignments are a primary determinant of runtime and memory usage. Both accuracy and speed are important considerations in choosing an alignment algorithm, but scoring systems have received much less attention than heuristics.
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