AIRR Community Standardized Representations for Annotated Immune Repertoires

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AIRR Community Standardized Representations for Annotated Immune Repertoires

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wetenschappelijk artikel

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наукова стаття, опублікована у 2018

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AIRR Community Standardized Representations for Annotated Immune Repertoires

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AIRR Community Standardized Representations for Annotated Immune Repertoires

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AIRR Community Standardized Representations for Annotated Immune Repertoires

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AIRR Community Standardized Representations for Annotated Immune Repertoires

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AIRR Community Standardized Representations for Annotated Immune Repertoires

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AIRR Community Standardized Representations for Annotated Immune Repertoires

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P1476

AIRR Community Standardized Representations for Annotated Immune Repertoires

@en

P2093

Aaron M Rosenfeld

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

Brian Corrie

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

Chaim A Schramm

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

Christian E Busse

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

Duncan K Ralph

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

Frederick A Matsen Iv

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Jason Anthony Vander Heiden

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

Nishanth Marthandan

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Scott Christley

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Steven H Kleinstein

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P2860

Minimum information about a microarray experiment (MIAME)-toward standards for microarray data

The Sequence Alignment/Map format and SAMtools

Consistency of VDJ Rearrangement and Substitution Parameters Enables Accurate B Cell Receptor Sequence Annotation

Practical guidelines for B-cell receptor repertoire sequencing analysis

Production of individualized V gene databases reveals high levels of immunoglobulin genetic diversity

VDJML: a file format with tools for capturing the results of inferring immune receptor rearrangements

Automated analysis of high-throughput B-cell sequencing data reveals a high frequency of novel immunoglobulin V gene segment alleles.

Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data.

structSSI: Simultaneous and Selective Inference for Grouped or Hierarchically Structured Data.

BioSharing: curated and crowd-sourced metadata standards, databases and data policies in the life sciences.

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2206

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

P31

scholarly article

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10.3389/FIMMU.2018.02206

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English

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P50

Uri Hershberg

P577

2018-01-01T00:00:00Z

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P698

30323809

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P932

6173121

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