WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences…
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators.
WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license.
Pipeline releases
All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser.
WARP Dockers and custom tools in warp-tools repository
All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools.
WARP documentation
Read more about our pipelines and repository on the WARP documentation site.
To contribute to WARP, please read the contribution guidelines.
Citing WARP
When citing WARP, please use the following:
Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences…
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators.
WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license.
Pipeline releases
All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser.
WARP Dockers and custom tools in warp-tools repository
All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools.
WARP documentation
Read more about our pipelines and repository on the WARP documentation site.
To contribute to WARP, please read the contribution guidelines.
Citing WARP
When citing WARP, please use the following:
Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences…
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators.
WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license.
Pipeline releases
All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser.
WARP Dockers and custom tools in warp-tools repository
All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools.
WARP documentation
Read more about our pipelines and repository on the WARP documentation site.
To contribute to WARP, please read the contribution guidelines.
Citing WARP
When citing WARP, please use the following:
Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1
Warp Analysis Research Pipelines
The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…
Warp Analysis Research Pipelines
The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators.
WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license.
Pipeline releases
All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser.
WARP Dockers and custom tools in warp-tools repository
All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools.
WARP documentation
Read more about our pipelines and repository on the WARP documentation site.
To contribute to WARP, please read the contribution guidelines.
Citing WARP
When citing WARP, please use the following:
Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences…
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators.
WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license.
Pipeline releases
All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser.
WARP Dockers and custom tools in warp-tools repository
All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools.
WARP documentation
Read more about our pipelines and repository on the WARP documentation site.
To contribute to WARP, please read the contribution guidelines.
Citing WARP
When citing WARP, please use the following:
Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1
Warp Analysis Research Pipelines
The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…
Warp Analysis Research Pipelines
The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators.
WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license.
Pipeline releases
All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser.
WARP Dockers and custom tools in warp-tools repository
All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools.
WARP documentation
Read more about our pipelines and repository on the WARP documentation site.
To contribute to WARP, please read the contribution guidelines.
Citing WARP
When citing WARP, please use the following:
Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1
Warp Analysis Research Pipelines
The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…
Warp Analysis Research Pipelines
The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators.
WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license.
Pipeline releases
All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser.
WARP Dockers and custom tools in warp-tools repository
All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools.
WARP documentation
Read more about our pipelines and repository on the WARP documentation site.
To contribute to WARP, please read the contribution guidelines.
Citing WARP
When citing WARP, please use the following:
Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1
Warp Analysis Research Pipelines
The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…
Warp Analysis Research Pipelines
The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators.
WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license.
Pipeline releases
All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser.
WARP Dockers and custom tools in warp-tools repository
All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools.
WARP documentation
Read more about our pipelines and repository on the WARP documentation site.
To contribute to WARP, please read the contribution guidelines.
Citing WARP
When citing WARP, please use the following:
Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences…
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators.
WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license.
Pipeline releases
All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser.
WARP Dockers and custom tools in warp-tools repository
All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools.
WARP documentation
Read more about our pipelines and repository on the WARP documentation site.
To contribute to WARP, please read the contribution guidelines.
Citing WARP
When citing WARP, please use the following:
Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences…
WDL Analysis Research Pipelines
The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators.
WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license.
Pipeline releases
All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser.
WARP Dockers and custom tools in warp-tools repository
All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools.
WARP documentation
Read more about our pipelines and repository on the WARP documentation site.
To contribute to WARP, please read the contribution guidelines.
Citing WARP
When citing WARP, please use the following:
Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1
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