Simultaneous characterization of sense and antisense genomic processes by the double-stranded hidden Markov model.

about

Simultaneous characterization of sense and antisense genomic processes by the double-stranded hidden Markov model.

Item

http://www.wikidata.org/entity/Q39141767

description

2015 nî lūn-bûn

@nan

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

2015年论文

@zh

2015年论文

@zh-cn

name

Simultaneous characterization ...... -stranded hidden Markov model.

@en

Simultaneous characterization ...... -stranded hidden Markov model.

@nl

type

Item

label

Simultaneous characterization ...... -stranded hidden Markov model.

@en

Simultaneous characterization ...... -stranded hidden Markov model.

@nl

prefLabel

Simultaneous characterization ...... -stranded hidden Markov model.

@en

Simultaneous characterization ...... -stranded hidden Markov model.

@nl

P1476

Simultaneous characterization ...... -stranded hidden Markov model.

@en

P2093

Achim Tresch

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

Benedikt Zacher

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

Don Poron

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

Julia Glas

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

Sebastian Dümcke

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

P2860

Bioconductor: open software development for computational biology and bioinformatics

Uniform transitions of the general RNA polymerase II transcription complex.

Nascent RNA sequencing reveals widespread pausing and divergent initiation at human promoters

Widespread bidirectional promoters are the major source of cryptic transcripts in yeast

Mapping and analysis of chromatin state dynamics in nine human cell types

Discovery and characterization of chromatin states for systematic annotation of the human genome

Bidirectional promoters generate pervasive transcription in yeast

Identification of functional elements and regulatory circuits by Drosophila modENCODE

Annotation of genomics data using bidirectional hidden Markov models unveils variations in Pol II transcription cycle.

Unsupervised segmentation of continuous genomic data.

P304

e44

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

P31

scholarly article

P356

10.1093/NAR/GKV1184

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

P407

English

P433

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

P478

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

P50

Julien Gagneur

P577

2015-11-17T00:00:00Z

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

P5875

284161131

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

P698

26578558

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

P932

4797261

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