Combining multiple ChIP-seq peak detection systems using combinatorial fusion

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2164

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Combining multiple ChIP-seq peak detection systems using combinatorial fusion ; volume:13 ; number:8 ; day:17 ; month:12 ; year:2012 ; pages:1-12 ; date:12.2012
BMC genomics ; 13, Heft 8 (17.12.2012), 1-12, 12.2012

Creator: Schweikert, Christina

Contributor: Brown, Stuart
Tang, Zuojian
Smith, Phillip R.
Hsu, D Frank
SpringerLink (Online service)

DOI: 10.1186/1471-2164-13-S8-S12

URN: urn:nbn:de:1111-2016072841331

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:04 AM CEST

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Schweikert, Christina
Brown, Stuart
Tang, Zuojian
Smith, Phillip R.
Hsu, D Frank
SpringerLink (Online service)

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Solving the differential peak calling problem in ChIP-seq data

WACS: improving ChIP-seq peak calling by optimally weighting controls

Robust algorithms for improved reproducible ChIP-seq and ChIP-nexus peak calling

Differential peak calling of ChIP-seq signals with replicates with THOR

Characterising ChIP-seq binding patterns by model-based peak shape deconvolution

The Triform algorithm: improved sensitivity and specificity in ChIP-Seq peak finding

Peak Finder Metaserver - a novel application for finding peaks in ChIP-seq data

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Shape-based peak identification for ChIP-Seq

BayesPeak: Bayesian analysis of ChIP-seq data

PeakRanger: A cloud-enabled peak caller for ChIP-seq data

peaksat: an R package for ChIP-seq peak saturation analysis

Hochschulschrift

Solving the differential peak calling problem in ChIP-seq data

WACS: improving ChIP-seq peak calling by optimally weighting controls

Robust algorithms for improved reproducible ChIP-seq and ChIP-nexus peak calling

Differential peak calling of ChIP-seq signals with replicates with THOR

Characterising ChIP-seq binding patterns by model-based peak shape deconvolution

The Triform algorithm: improved sensitivity and specificity in ChIP-Seq peak finding

Peak Finder Metaserver - a novel application for finding peaks in ChIP-seq data

The Sierra Platinum Service for generating peak-calls for replicated ChIP-seq experiments

Shape-based peak identification for ChIP-Seq

BayesPeak: Bayesian analysis of ChIP-seq data

PeakRanger: A cloud-enabled peak caller for ChIP-seq data

peaksat: an R package for ChIP-seq peak saturation analysis

Hochschulschrift

Solving the differential peak calling problem in ChIP-seq data

WACS: improving ChIP-seq peak calling by optimally weighting controls

Robust algorithms for improved reproducible ChIP-seq and ChIP-nexus peak calling

Differential peak calling of ChIP-seq signals with replicates with THOR

Characterising ChIP-seq binding patterns by model-based peak shape deconvolution

The Triform algorithm: improved sensitivity and specificity in ChIP-Seq peak finding

Peak Finder Metaserver - a novel application for finding peaks in ChIP-seq data

The Sierra Platinum Service for generating peak-calls for replicated ChIP-seq experiments

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Combining multiple ChIP-seq peak detection systems using combinatorial fusion

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Other Objects (12)

Shape-based peak identification for ChIP-Seq

BayesPeak: Bayesian analysis of ChIP-seq data

PeakRanger: A cloud-enabled peak caller for ChIP-seq data

peaksat: an R package for ChIP-seq peak saturation analysis

Solving the differential peak calling problem in ChIP-seq data

WACS: improving ChIP-seq peak calling by optimally weighting controls

Robust algorithms for improved reproducible ChIP-seq and ChIP-nexus peak calling

Differential peak calling of ChIP-seq signals with replicates with THOR

Characterising ChIP-seq binding patterns by model-based peak shape deconvolution

The Triform algorithm: improved sensitivity and specificity in ChIP-Seq peak finding

Peak Finder Metaserver - a novel application for finding peaks in ChIP-seq data

The Sierra Platinum Service for generating peak-calls for replicated ChIP-seq experiments

Shape-based peak identification for ChIP-Seq

BayesPeak: Bayesian analysis of ChIP-seq data

PeakRanger: A cloud-enabled peak caller for ChIP-seq data

peaksat: an R package for ChIP-seq peak saturation analysis

Solving the differential peak calling problem in ChIP-seq data

WACS: improving ChIP-seq peak calling by optimally weighting controls

Robust algorithms for improved reproducible ChIP-seq and ChIP-nexus peak calling

Differential peak calling of ChIP-seq signals with replicates with THOR

Characterising ChIP-seq binding patterns by model-based peak shape deconvolution

The Triform algorithm: improved sensitivity and specificity in ChIP-Seq peak finding

Peak Finder Metaserver - a novel application for finding peaks in ChIP-seq data

The Sierra Platinum Service for generating peak-calls for replicated ChIP-seq experiments

Shape-based peak identification for ChIP-Seq

BayesPeak: Bayesian analysis of ChIP-seq data

PeakRanger: A cloud-enabled peak caller for ChIP-seq data

peaksat: an R package for ChIP-seq peak saturation analysis

Solving the differential peak calling problem in ChIP-seq data

WACS: improving ChIP-seq peak calling by optimally weighting controls

Robust algorithms for improved reproducible ChIP-seq and ChIP-nexus peak calling

Differential peak calling of ChIP-seq signals with replicates with THOR

Characterising ChIP-seq binding patterns by model-based peak shape deconvolution

The Triform algorithm: improved sensitivity and specificity in ChIP-Seq peak finding

Peak Finder Metaserver - a novel application for finding peaks in ChIP-seq data

The Sierra Platinum Service for generating peak-calls for replicated ChIP-seq experiments

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