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Sökning: WFRF:(Friedman Nir) > (2009) > Identifying novel c...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00002930naa a2200493 4500
001oai:DiVA.org:uu-148838
003SwePub
008110310s2009 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-1488382 URI
024a https://doi.org/10.1093/bioinformatics/btp1902 DOI
040 a (SwePub)uu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Garber, Manuel4 aut
2451 0a Identifying novel constrained elements by exploiting biased substitution patterns
264 c 2009-05-27
264 1b Oxford University Press (OUP),c 2009
338 a print2 rdacarrier
520 a Motivation: Comparing the genomes from closely related species provides a powerful tool to identify functional elements in a reference genome. Many methods have been developed to identify conserved sequences across species; however, existing methods only model conservation as a decrease in the rate of mutation and have ignored selection acting on the pattern of mutations. Results: We present a new approach that takes advantage of deeply sequenced clades to identify evolutionary selection by uncovering not only signatures of rate-based conservation but also substitution patterns characteristic of sequence undergoing natural selection. We describe a new statistical method for modeling biased nucleotide substitutions, a learning algorithm for inferring site-specific substitution biases directly from sequence alignments and a hidden Markov model for detecting constrained elements characterized by biased substitutions. We show that the new approach can identify significantly more degenerate constrained sequences than rate-based methods. Applying it to the ENCODE regions, we identify as much as 10.2% of these regions are under selection.
653 a human genome
653 a functional elements
653 a vertebrate
653 a genomes
653 a sequence-analysis
653 a identification
653 a discovery
653 a 1-percent
653 a browser
653 a mammals
653 a family
653 a MEDICINE
653 a MEDICIN
700a Guttman, Mitchell4 aut
700a Clamp, Michele4 aut
700a Zody, Michael C.u Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi4 aut0 (Swepub:uu)miczo266
700a Friedman, Nir4 aut
700a Xie, Xiaohui4 aut
710a Uppsala universitetb Institutionen för medicinsk biokemi och mikrobiologi4 org
773t Bioinformaticsd : Oxford University Press (OUP)g 25:12, s. I54-I62q 25:12<I54-I62x 1367-4803x 1367-4811
856u https://academic.oup.com/bioinformatics/article-pdf/25/12/i54/16887420/btp190.pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148838
8564 8u https://doi.org/10.1093/bioinformatics/btp190

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