Výsledky vyhledávání - "Baribault Carl"

Akademický článek

Duration learning for analysis of nanopore ionic current blockades

Autor: Baribault Carl, Churbanov Alexander, Winters-Hilt Stephen

Publikováno v: BMC Bioinformatics, Vol 8, Iss Suppl 7, p S14 (2007)

Abstract Background Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties, with potential implications for DNA sequencing. The alpha-Hemolysin transmembrane channel i

Externí odkaz: https://doaj.org/article/8caf453eee554a57a7805f4e72268081

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Akademický článek

A novel, fast, HMM-with-Duration implementation – for application with a new, pattern recognition informed, nanopore detector

Autor: Winters-Hilt Stephen, Baribault Carl

Publikováno v: BMC Bioinformatics, Vol 8, Iss Suppl 7, p S19 (2007)

Abstract Background Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) is an HMM that can also exactly model the hidden-label length (

Externí odkaz: https://doaj.org/article/f6962e4373e8433b96f10180397e704e

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Akademický článek

Gene expression during normal and FSHD myogenesis

Autor: Sowden Janet, Chittur Sridar V, Baribault Carl, Lacey Michelle, Chang Shao-Chi, Tsumagari Koji, Tawil Rabi, Crawford Gregory E, Ehrlich Melanie

Publikováno v: BMC Medical Genomics, Vol 4, Iss 1, p 67 (2011)

Abstract Background Facioscapulohumeral muscular dystrophy (FSHD) is a dominant disease linked to contraction of an array of tandem 3.3-kb repeats (D4Z4) at 4q35. Within each repeat unit is a gene, DUX4, that can encode a protein containing two homeo

Externí odkaz: https://doaj.org/article/ed006573687a4f36ad86286100e17362

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Akademický článek

A Metastate HMM with Application to Gene Structure Identification in Eukaryotes

Autor: Winters-Hilt Stephen, Baribault Carl

Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2010, Iss 1, p 581373 (2010)

We introduce a generalized-clique hidden Markov model (HMM) and apply it to gene finding in eukaryotes (C. elegans). We demonstrate a HMM structure identification platform that is novel and robustly-performing in a number of ways. The generalized cli

Externí odkaz: https://doaj.org/article/94275369731d452692d0d392974607e7

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