PureCN: copy number calling and SNV classification using targeted short read sequencing

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1751-0473

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: PureCN: copy number calling and SNV classification using targeted short read sequencing ; volume:11 ; number:1 ; day:15 ; month:12 ; year:2016 ; pages:1-13 ; date:12.2016
Source code for biology and medicine ; 11, Heft 1 (15.12.2016), 1-13, 12.2016

Keyword: Krebs
Onkologie

Creator: Riester, Markus

Contributor: Singh, Angad P.
Brannon, A. Rose
Yu, Kun
Campbell, Catarina D.
Chiang, Derek Y.
Morrissey, Michael P.
SpringerLink (Online service)

DOI: 10.1186/s13029-016-0060-z

URN: urn:nbn:de:1111-201701114543

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:56 AM CEST

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Riester, Markus
Singh, Angad P.
Brannon, A. Rose
Yu, Kun
Campbell, Catarina D.
Chiang, Derek Y.
Morrissey, Michael P.
SpringerLink (Online service)

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PureCN: copy number calling and SNV classification using targeted short read sequencing

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Other Objects (12)

KvarQ: targeted and direct variant calling from fastq reads of bacterial genomes

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Benchmarking datasets for assembly-based variant calling using high-fidelity long reads

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SMURF-seq: efficient copy number profiling on long-read sequencers

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DECA: scalable XHMM exome copy-number variant calling with ADAM and Apache Spark

KvarQ: targeted and direct variant calling from fastq reads of bacterial genomes

SurVIndel2: improving copy number variant calling from next-generation sequencing using hidden split reads

Local read haplotagging enables accurate long-read small variant calling

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Ratatosk: hybrid error correction of long reads enables accurate variant calling and assembly

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SurVIndel2: improving copy number variant calling from next-generation sequencing using hidden split reads

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Linkage disequilibrium based genotype calling from low-coverage shotgun sequencing reads

Base calling for high-throughput short-read sequencing: dynamic programming solutions

Edge effects in calling variants from targeted amplicon sequencing

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Copy number variation detection using next generation sequencing read counts

DECA: scalable XHMM exome copy-number variant calling with ADAM and Apache Spark

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