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A bioinformatics method identifies prominent off-targeted transcripts in RNAi screens.

Author(s): Sigoillot, Frederic D; Lyman, Susan; Huckins, Jeremy F; Adamson, Britt; Chung, Eunah; et al

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dc.contributor.authorSigoillot, Frederic D-
dc.contributor.authorLyman, Susan-
dc.contributor.authorHuckins, Jeremy F-
dc.contributor.authorAdamson, Britt-
dc.contributor.authorChung, Eunah-
dc.contributor.authorQuattrochi, Brian-
dc.contributor.authorKing, Randall W-
dc.date.accessioned2020-02-25T20:11:06Z-
dc.date.available2020-02-25T20:11:06Z-
dc.date.issued2012-02-19en_US
dc.identifier.citationSigoillot, Frederic D, Lyman, Susan, Huckins, Jeremy F, Adamson, Britt, Chung, Eunah, Quattrochi, Brian, King, Randall W. (2012). A bioinformatics method identifies prominent off-targeted transcripts in RNAi screens.. Nature methods, 9 (4), 363 - 366. doi:10.1038/nmeth.1898en_US
dc.identifier.issn1548-7091-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1k188-
dc.description.abstractBecause off-target effects hamper interpretation and validation of RNAi screen data, we developed a bioinformatics method, genome-wide enrichment of seed sequence matches (GESS), to identify candidate off-targeted transcripts in primary screening data. GESS analysis revealed a prominent off-targeted transcript in several screens, including MAD2 (MAD2L1) in a screen for genes required for the spindle assembly checkpoint. GESS analysis results can enhance the validation rate in RNAi screens.en_US
dc.format.extent1 - 7en_US
dc.languageengen_US
dc.language.isoenen_US
dc.relation.ispartofNature methodsen_US
dc.rightsFinal published version. Article is made available in OAR by the publisher's permission or policy.en_US
dc.titleA bioinformatics method identifies prominent off-targeted transcripts in RNAi screens.en_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1038/nmeth.1898-
dc.identifier.eissn1548-7105-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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