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Spidey: A Tool for mRNA-to-Genomic Alignments
Author(s) -
Sarah J. Wheelan,
Deanna M. Church,
James M. Ostell
Publication year - 2001
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.195301
Subject(s) - biology , computational biology , genetics , human genome , genome , sequence (biology) , rna splicing , alignment free sequence analysis , heuristics , multiple sequence alignment , genomics , alternative splicing , gene , sequence alignment , exon , rna , computer science , peptide sequence , operating system
We have developed a computer program that aligns spliced sequences to genomic sequences, using local alignment algorithms and heuristics to put together a global spliced alignment. Spidey can produce reliable alignments quickly, even when confronted with noise from alternative splicing, polymorphisms, sequencing errors, or evolutionary divergence. We show how Spidey was used to align reference sequences to known genomic sequences and then to the draft human genome, to align mRNAs to gene clusters, and to align mouse mRNAs to human genomic sequence. We compared Spidey to two other spliced alignment programs; Spidey generally performed quite well in a very reasonable amount of time.

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