Cloud-based Interactive Analytics for Terabytes of Genomic Variants Data.

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Cloud-based Interactive Analytics for Terabytes of Genomic Variants Data.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

@yue

2017年論文

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2017年論文

@zh-hk

2017年論文

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2017年論文

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Cloud-based Interactive Analytics for Terabytes of Genomic Variants Data.

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Cloud-based Interactive Analytics for Terabytes of Genomic Variants Data.

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Cloud-based Interactive Analytics for Terabytes of Genomic Variants Data.

@en

Cloud-based Interactive Analytics for Terabytes of Genomic Variants Data.

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Cloud-based Interactive Analytics for Terabytes of Genomic Variants Data.

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Cloud-based Interactive Analytics for Terabytes of Genomic Variants Data.

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P1476

Cloud-based Interactive Analytics for Terabytes of Genomic Variants Data.

@en

P2093

Cuiping Pan

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

Gregory McInnes

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

Jonathan Bingham

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

Michael Snyder

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Nicole Deflaux

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Philip S Tsao

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Somalee Datta

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P2860

QMachine: commodity supercomputing in web browsers

A global reference for human genetic variation

Deep sequencing of 10,000 human genomes

NEK1 variants confer susceptibility to amyotrophic lateral sclerosis

Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals

Genomics Virtual Laboratory: A Practical Bioinformatics Workbench for the Cloud

A framework for variation discovery and genotyping using next-generation DNA sequencing data

The genetic architecture of type 2 diabetes

STORMSeq: an open-source, user-friendly pipeline for processing personal genomics data in the cloud.

Bioinformatics and Microarray Data Analysis on the Cloud.

P304

3709-3715

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P31

scholarly article

P356

10.1093/BIOINFORMATICS/BTX468

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P407

English

P433

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P478

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

P577

2017-12-01T00:00:00Z

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P698

28961771

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P932

5860318

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