Analysis of nanopore data using hidden Markov models. - Wikidata - awgldk - TriplyDB

Analysis of nanopore data using hidden Markov models.

Analysis of nanopore data using hidden Markov models.

http://www.wikidata.org/entity/Q30887425

about

Nanocall: an open source basecaller for Oxford Nanopore sequencing data.MOSAIC: A Modular Single-Molecule Analysis Interface for Decoding Multistate Nanopore Data.Detecting DNA cytosine methylation using nanopore sequencing.A world of opportunities with nanopore sequencing.

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Analysis of nanopore data using hidden Markov models.

http://www.wikidata.org/entity/Q30887425

description

2015 nî lūn-bûn

@nan

2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

name

Analysis of nanopore data using hidden Markov models.

@ast

Analysis of nanopore data using hidden Markov models.

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type

label

Analysis of nanopore data using hidden Markov models.

@ast

Analysis of nanopore data using hidden Markov models.

@en

prefLabel

Analysis of nanopore data using hidden Markov models.

@ast

Analysis of nanopore data using hidden Markov models.

@en

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Analysis of nanopore data using hidden Markov models.

@en

P2093

Jacob Schreiber

http://www.w3.org/2001/XMLSchema#string

Kevin Karplus

http://www.w3.org/2001/XMLSchema#string

P2860

Nucleotide discrimination with DNA immobilized in the MspA nanopore

Tet proteins can convert 5-methylcytosine to 5-formylcytosine and 5-carboxylcytosine

Characterization of individual polynucleotide molecules using a membrane channel

Profile hidden Markov models

Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes

Pfam: multiple sequence alignments and HMM-profiles of protein domains

SAM-T08, HMM-based protein structure prediction.

On the origin and evolution of biosynthetic pathways: integrating microarray data with structure and organization of the Common Pathway genes.

Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis.

Processive replication of single DNA molecules in a nanopore catalyzed by phi29 DNA polymerase

P304

1897-1903

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scholarly article

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10.1093/BIOINFORMATICS/BTV046

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12

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31

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2015-02-03T00:00:00Z

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4553831

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