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Genomics Cloud Using Docker by Auwera Geraldine (14 results)
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Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
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Genomics in the Cloud: Using Docker, GATK, and WDL in Terra
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good.
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Condition: New.
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Genomics in the Cloud: Using Docker, Gatk, and Wdl in Terra (Paperback or Softback)
Language: English
Published by O'Reilly Media 4/28/2020, 2020
ISBN 10: 1491975199 ISBN 13: 9781491975190
Paperback or Softback. Condition: New. Genomics in the Cloud: Using Docker, Gatk, and Wdl in Terra. Book.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: new.
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Genomics in the Cloud : Using Docker, GATK, and WDL in Terra
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Genomics in the Cloud : Using Docker, GATK, and WDL in Terra
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: new. New Copy. Customer Service Guaranteed.
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paperback. Condition: Gut. 496 Seiten; 9781491975190.3 Gewicht in Gramm: 2.
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Genomics in the Cloud: Using Docker, GATK, and WDL in Terra
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2019. 1st Edition. Paperback. . . . . .
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Condition: New. 2019. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Genomics in the Cloud : Using Docker, Gatk, and Wdl in Terra
Language: English
Published by O'reilly Media Mai 2020, 2020
ISBN 10: 1491975199 ISBN 13: 9781491975190
Taschenbuch. Condition: Neu. Neuware - Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytesor over 50 million gigabytesof genomic data, and they're turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud.
