Open AccessROSO: optimizing oligonucleotide probes for microarrays
Author(s) -
Nancie Reymond,
Hubert Charles,
Laurent Duret,
Federica Calevro,
Guillaume Beslon,
JeanMichel Fayard
Publication year - 2004
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/btg401
Subject(s) - oligonucleotide , dna microarray , oligomer restriction , computer science , software , computational biology , the internet , data mining , biology , dna , genetics , operating system , gene expression , gene
ROSO is software to design optimal oligonucleotide probe sets for microarrays. Selected probes show no significant cross-hybridization, no stable secondary structures and their Tm are chosen to minimize the Tm variability of the probe set.
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