IBM Spectrum Scale Best Practices for Genomics Medicine Workloads:
Advancing the science of medicine by targeting a disease more precisely with treatment specific to each patient relies on access to that patient's genomics information and the ability to process massive amounts of genomics data quickly. Although genomics data is becoming a critical source for p...
Gespeichert in:
| Beteiligte Personen: | , , , , , , , |
|---|---|
| Körperschaft: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
IBM Redbooks
2018
|
| Ausgabe: | 1st edition. |
| Links: | https://learning.oreilly.com/library/view/-/9780738456751/?ar |
| Zusammenfassung: | Advancing the science of medicine by targeting a disease more precisely with treatment specific to each patient relies on access to that patient's genomics information and the ability to process massive amounts of genomics data quickly. Although genomics data is becoming a critical source for precision medicine, it is expected to create an expanding data ecosystem. Therefore, hospitals, genome centers, medical research centers, and other clinical institutes need to explore new methods of storing, accessing, securing, managing, sharing, and analyzing significant amounts of data. Healthcare and life sciences organizations that are running data-intensive genomics workloads on an IT infrastructure that lacks scalability, flexibility, performance, management, and cognitive capabilities also need to modernize and transform their infrastructure to support current and future requirements. IBM® offers an integrated solution for genomics that is based on composable infrastructure. This solution enables administrators to build an IT environment in a way that disaggregates the underlying compute, storage, and network resources. Such a composable building block based solution for genomics addresses the most complex data management aspect and allows organizations to store, access, manage, and share huge volumes of genome sequencing data. IBM Spectrum"!Scale is software-defined storage that is used to manage storage and provide massive scale, a global namespace, and high-performance data access with many enterprise features. IBM Spectrum Scale"!is used in clustered environments, provides unified access to data via file protocols (POSIX, NFS, and SMB) and object protocols (Swift and S3), and supports analytic workloads via HDFS connectors. Deploying IBM Spectrum Scale and IBM Elastic Storage"!Server (IBM ESS) as a composable storage building block in a Genomics Next Generation Sequencing deployment offers key benefits of performance, scalability, analytics, and collaboration via multiple protocols. This IBM Redpaper"!publication describes a composable solution with detailed architecture definitions for storage, compute, and networking services for genomics next generation sequencing that enable solution architects to benefit from tried-and-tested deployments, to quickly plan and design an end-to-end infrastructure deployment. The preferred practices and fully tested recommendations described in this paper are derived from running GATK Best Practices work flow ... |
| Beschreibung: | Online resource; Title from title page (viewed April 25, 2018) |
| Umfang: | 1 Online-Ressource (64 Seiten) |
| ISBN: | 9780738456751 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-048557048 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228120908.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191206s2018 xx |||||o 00| ||eng c | ||
| 020 | |a 9780738456751 |9 978-0-7384-5675-1 | ||
| 035 | |a (DE-627-1)048557048 | ||
| 035 | |a (DE-599)KEP048557048 | ||
| 035 | |a (ORHE)9780738456751 | ||
| 035 | |a (DE-627-1)048557048 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 100 | 1 | |a Wong, Joanna |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a IBM Spectrum Scale Best Practices for Genomics Medicine Workloads |c Wong, Joanna |
| 250 | |a 1st edition. | ||
| 264 | 1 | |a [Erscheinungsort nicht ermittelbar] |b IBM Redbooks |c 2018 | |
| 300 | |a 1 Online-Ressource (64 Seiten) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online resource; Title from title page (viewed April 25, 2018) | ||
| 520 | |a Advancing the science of medicine by targeting a disease more precisely with treatment specific to each patient relies on access to that patient's genomics information and the ability to process massive amounts of genomics data quickly. Although genomics data is becoming a critical source for precision medicine, it is expected to create an expanding data ecosystem. Therefore, hospitals, genome centers, medical research centers, and other clinical institutes need to explore new methods of storing, accessing, securing, managing, sharing, and analyzing significant amounts of data. Healthcare and life sciences organizations that are running data-intensive genomics workloads on an IT infrastructure that lacks scalability, flexibility, performance, management, and cognitive capabilities also need to modernize and transform their infrastructure to support current and future requirements. IBM® offers an integrated solution for genomics that is based on composable infrastructure. This solution enables administrators to build an IT environment in a way that disaggregates the underlying compute, storage, and network resources. Such a composable building block based solution for genomics addresses the most complex data management aspect and allows organizations to store, access, manage, and share huge volumes of genome sequencing data. IBM Spectrum"!Scale is software-defined storage that is used to manage storage and provide massive scale, a global namespace, and high-performance data access with many enterprise features. IBM Spectrum Scale"!is used in clustered environments, provides unified access to data via file protocols (POSIX, NFS, and SMB) and object protocols (Swift and S3), and supports analytic workloads via HDFS connectors. Deploying IBM Spectrum Scale and IBM Elastic Storage"!Server (IBM ESS) as a composable storage building block in a Genomics Next Generation Sequencing deployment offers key benefits of performance, scalability, analytics, and collaboration via multiple protocols. This IBM Redpaper"!publication describes a composable solution with detailed architecture definitions for storage, compute, and networking services for genomics next generation sequencing that enable solution architects to benefit from tried-and-tested deployments, to quickly plan and design an end-to-end infrastructure deployment. The preferred practices and fully tested recommendations described in this paper are derived from running GATK Best Practices work flow ... | ||
| 700 | 1 | |a Gildea, Kevin |e VerfasserIn |4 aut | |
| 700 | 1 | |a Rajaram, Kumaran |e VerfasserIn |4 aut | |
| 700 | 1 | |a Bolinches, Luis |e VerfasserIn |4 aut | |
| 700 | 1 | |a Lemay, Monica |e VerfasserIn |4 aut | |
| 700 | 1 | |a Chaudhary, Piyush |e VerfasserIn |4 aut | |
| 700 | 1 | |a Patil, Sandeep |e VerfasserIn |4 aut | |
| 700 | 1 | |a Troppens, Ulf |e VerfasserIn |4 aut | |
| 710 | 2 | |a Safari, an O'Reilly Media Company. |e MitwirkendeR |4 ctb | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9780738456751/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-048557048 |
|---|---|
| _version_ | 1821494851044114432 |
| adam_text | |
| any_adam_object | |
| author | Wong, Joanna Gildea, Kevin Rajaram, Kumaran Bolinches, Luis Lemay, Monica Chaudhary, Piyush Patil, Sandeep Troppens, Ulf |
| author_corporate | Safari, an O'Reilly Media Company |
| author_corporate_role | ctb |
| author_facet | Wong, Joanna Gildea, Kevin Rajaram, Kumaran Bolinches, Luis Lemay, Monica Chaudhary, Piyush Patil, Sandeep Troppens, Ulf Safari, an O'Reilly Media Company |
| author_role | aut aut aut aut aut aut aut aut |
| author_sort | Wong, Joanna |
| author_variant | j w jw k g kg k r kr l b lb m l ml p c pc s p sp u t ut |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)048557048 (DE-599)KEP048557048 (ORHE)9780738456751 |
| edition | 1st edition. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04047cam a22004332 4500</leader><controlfield tag="001">ZDB-30-ORH-048557048</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120908.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191206s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780738456751</subfield><subfield code="9">978-0-7384-5675-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)048557048</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP048557048</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9780738456751</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)048557048</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wong, Joanna</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">IBM Spectrum Scale Best Practices for Genomics Medicine Workloads</subfield><subfield code="c">Wong, Joanna</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Erscheinungsort nicht ermittelbar]</subfield><subfield code="b">IBM Redbooks</subfield><subfield code="c">2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (64 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; Title from title page (viewed April 25, 2018)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Advancing the science of medicine by targeting a disease more precisely with treatment specific to each patient relies on access to that patient's genomics information and the ability to process massive amounts of genomics data quickly. Although genomics data is becoming a critical source for precision medicine, it is expected to create an expanding data ecosystem. Therefore, hospitals, genome centers, medical research centers, and other clinical institutes need to explore new methods of storing, accessing, securing, managing, sharing, and analyzing significant amounts of data. Healthcare and life sciences organizations that are running data-intensive genomics workloads on an IT infrastructure that lacks scalability, flexibility, performance, management, and cognitive capabilities also need to modernize and transform their infrastructure to support current and future requirements. IBM® offers an integrated solution for genomics that is based on composable infrastructure. This solution enables administrators to build an IT environment in a way that disaggregates the underlying compute, storage, and network resources. Such a composable building block based solution for genomics addresses the most complex data management aspect and allows organizations to store, access, manage, and share huge volumes of genome sequencing data. IBM Spectrum"!Scale is software-defined storage that is used to manage storage and provide massive scale, a global namespace, and high-performance data access with many enterprise features. IBM Spectrum Scale"!is used in clustered environments, provides unified access to data via file protocols (POSIX, NFS, and SMB) and object protocols (Swift and S3), and supports analytic workloads via HDFS connectors. Deploying IBM Spectrum Scale and IBM Elastic Storage"!Server (IBM ESS) as a composable storage building block in a Genomics Next Generation Sequencing deployment offers key benefits of performance, scalability, analytics, and collaboration via multiple protocols. This IBM Redpaper"!publication describes a composable solution with detailed architecture definitions for storage, compute, and networking services for genomics next generation sequencing that enable solution architects to benefit from tried-and-tested deployments, to quickly plan and design an end-to-end infrastructure deployment. The preferred practices and fully tested recommendations described in this paper are derived from running GATK Best Practices work flow ...</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gildea, Kevin</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rajaram, Kumaran</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bolinches, Luis</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lemay, Monica</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chaudhary, Piyush</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Patil, Sandeep</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Troppens, Ulf</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Safari, an O'Reilly Media Company.</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9780738456751/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-048557048 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:20:56Z |
| institution | BVB |
| isbn | 9780738456751 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (64 Seiten) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | IBM Redbooks |
| record_format | marc |
| spelling | Wong, Joanna VerfasserIn aut IBM Spectrum Scale Best Practices for Genomics Medicine Workloads Wong, Joanna 1st edition. [Erscheinungsort nicht ermittelbar] IBM Redbooks 2018 1 Online-Ressource (64 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title page (viewed April 25, 2018) Advancing the science of medicine by targeting a disease more precisely with treatment specific to each patient relies on access to that patient's genomics information and the ability to process massive amounts of genomics data quickly. Although genomics data is becoming a critical source for precision medicine, it is expected to create an expanding data ecosystem. Therefore, hospitals, genome centers, medical research centers, and other clinical institutes need to explore new methods of storing, accessing, securing, managing, sharing, and analyzing significant amounts of data. Healthcare and life sciences organizations that are running data-intensive genomics workloads on an IT infrastructure that lacks scalability, flexibility, performance, management, and cognitive capabilities also need to modernize and transform their infrastructure to support current and future requirements. IBM® offers an integrated solution for genomics that is based on composable infrastructure. This solution enables administrators to build an IT environment in a way that disaggregates the underlying compute, storage, and network resources. Such a composable building block based solution for genomics addresses the most complex data management aspect and allows organizations to store, access, manage, and share huge volumes of genome sequencing data. IBM Spectrum"!Scale is software-defined storage that is used to manage storage and provide massive scale, a global namespace, and high-performance data access with many enterprise features. IBM Spectrum Scale"!is used in clustered environments, provides unified access to data via file protocols (POSIX, NFS, and SMB) and object protocols (Swift and S3), and supports analytic workloads via HDFS connectors. Deploying IBM Spectrum Scale and IBM Elastic Storage"!Server (IBM ESS) as a composable storage building block in a Genomics Next Generation Sequencing deployment offers key benefits of performance, scalability, analytics, and collaboration via multiple protocols. This IBM Redpaper"!publication describes a composable solution with detailed architecture definitions for storage, compute, and networking services for genomics next generation sequencing that enable solution architects to benefit from tried-and-tested deployments, to quickly plan and design an end-to-end infrastructure deployment. The preferred practices and fully tested recommendations described in this paper are derived from running GATK Best Practices work flow ... Gildea, Kevin VerfasserIn aut Rajaram, Kumaran VerfasserIn aut Bolinches, Luis VerfasserIn aut Lemay, Monica VerfasserIn aut Chaudhary, Piyush VerfasserIn aut Patil, Sandeep VerfasserIn aut Troppens, Ulf VerfasserIn aut Safari, an O'Reilly Media Company. MitwirkendeR ctb |
| spellingShingle | Wong, Joanna Gildea, Kevin Rajaram, Kumaran Bolinches, Luis Lemay, Monica Chaudhary, Piyush Patil, Sandeep Troppens, Ulf IBM Spectrum Scale Best Practices for Genomics Medicine Workloads |
| title | IBM Spectrum Scale Best Practices for Genomics Medicine Workloads |
| title_auth | IBM Spectrum Scale Best Practices for Genomics Medicine Workloads |
| title_exact_search | IBM Spectrum Scale Best Practices for Genomics Medicine Workloads |
| title_full | IBM Spectrum Scale Best Practices for Genomics Medicine Workloads Wong, Joanna |
| title_fullStr | IBM Spectrum Scale Best Practices for Genomics Medicine Workloads Wong, Joanna |
| title_full_unstemmed | IBM Spectrum Scale Best Practices for Genomics Medicine Workloads Wong, Joanna |
| title_short | IBM Spectrum Scale Best Practices for Genomics Medicine Workloads |
| title_sort | ibm spectrum scale best practices for genomics medicine workloads |
| work_keys_str_mv | AT wongjoanna ibmspectrumscalebestpracticesforgenomicsmedicineworkloads AT gildeakevin ibmspectrumscalebestpracticesforgenomicsmedicineworkloads AT rajaramkumaran ibmspectrumscalebestpracticesforgenomicsmedicineworkloads AT bolinchesluis ibmspectrumscalebestpracticesforgenomicsmedicineworkloads AT lemaymonica ibmspectrumscalebestpracticesforgenomicsmedicineworkloads AT chaudharypiyush ibmspectrumscalebestpracticesforgenomicsmedicineworkloads AT patilsandeep ibmspectrumscalebestpracticesforgenomicsmedicineworkloads AT troppensulf ibmspectrumscalebestpracticesforgenomicsmedicineworkloads AT safarianoreillymediacompany ibmspectrumscalebestpracticesforgenomicsmedicineworkloads |