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Clustered ChIP-Seq-defined transcription factor binding sites and histone modifications map distinct classes of regulatory elements
by
Rye, Morten
,
Sætrom, Pål
,
Håndstad, Tony
,
Drabløs, Finn
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BMC biology
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Cell-type specificity of ChIP-predicted transcription factor binding sites
by
Håndstad, Tony
,
Rye, Morten
,
Močnik, Rok
,
Drabløs, Finn
,
Sætrom, Pål
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BMC genomics
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A ChIP-Seq benchmark shows that sequence conservation mainly improves detection of strong transcription factor binding sites
by
Håndstad, Tony
,
Rye, Morten Beck
,
Drabløs, Finn
,
Sætrom, Pål
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PloS one
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The Triform algorithm: improved sensitivity and specificity in ChIP-Seq peak finding
by
Kornacker, Karl
,
Rye, Morten Beck
,
Håndstad, Tony
,
Drabløs, Finn
Published in
BMC bioinformatics
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Motif kernel generated by genetic programming improves remote homology and fold detection
by
Håndstad, Tony
,
Hestnes, Arne J H
,
Saetrom, Pål
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BMC bioinformatics
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Protein Remote Homology Detection using Motifs made with Genetic Programming
by
Håndstad, Tony
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Dissertation
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The Triform algorithm: improved sensitivity and specificity in ChIP-Seq peak finding
by
Kornacker, K
,
Rye, Morten Beck
,
Håndstad, Tony
,
Drabløs, Finn
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Clustered ChIP-Seq-defined transcription factor binding sites and histone modifications map distinct classes of regulatory elements
by
Rye, Morten Beck
,
Sætrom, Pål
,
Håndstad, Tony
,
Drabløs, Finn
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A ChIP-Seq Benchmark Shows That Sequence Conservation Mainly Improves Detection of Strong Transcription Factor Binding Sites
by
Håndstad, Tony
,
Rye, Morten Beck
,
Drabløs, Finn
,
Sætrom, Pål
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Cell-type specificity of ChIP-predicted transcription factor binding sites
by
Håndstad, Tony
,
Rye, Morten Beck
,
Mocnik, Rok
,
Drabløs, Finn
,
Sætrom, Pål
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Motif kernel generated by genetic programming improves remote homology and fold detection
by
Håndstad, Tony
,
Hestnes, Arne Johan Husebø
,
Sætrom, Pål
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