reapxdev/zenodo-scraper huggingface dataset:
Uncropped raw gel images for "CRP-dependent DNA anchoring and membrane sequestration define a dual mechanism for MtlR-mediated regulation"
Authors: Lee, Seunghwan, Seok, Yeong-Jae
Type: Photo
Published: 2026-07-11

<p>This dataset contains the uncropped, raw gel images for the figures in the manuscript titled "[CRP-dependent DNA anchoring and membrane sequestration define a dual mechanism for MtlR-mediated regulation]". Each file name corresponds to the respective figure number.</p>
Telenomus kaingaroa, paratype male, FSCA 00140281
Authors: Talamas, Elijah
Type: Photo
Published: 2026-03-10

<p><em>Telenomus kaingaroa</em>, paratype male (FSCA 00140281)</p>
<p>New Zealand: Lab. colony, 2nd generation ex. <em>Glaucias</em> <em>amyoti</em>, originally collected Waikato, Whatiwai ex.<em> G. amyoti</em> on <em>Pittosporum crassifolium</em> 21-DEC-2023 (deposited in NZAC)</p>
Telenomus opicus, paratype female
Authors: Chemyreva, Vasilisa, Vorontsov, Dmitry
Type: Photo
Published: 2025-06-18

<p><em>Telenomus opicus Lê</em></p>
<p>paratype female</p>
<p>Specimen was photographed, then removed from point and washed, then re-photographed.</p>
Telenomus kaingaroa Talamas, holotype female, FSCA 00051830
Authors: Talamas, Elijah
Type: Photo
Published: 2025-12-30

<p>Telenomus kaingaroa Talamas</p>
<p>holotype female, FSCA 00051830</p>
<p>deposited in NZAC</p>
<p>NEW ZEALAND: lab colony 2nd gen. ex. <em>Glaucias amyoti </em>origin: Waikato, Whakatiwai 16-NOV-2023 ex. <em>G. amyoti</em> on <em>Pittosporum crassifolium</em></p>
Telenomus dissidens Talamas, holotype female, FSCA 00051806
Authors: Talamas, Elijah
Type: Photo
Published: 2025-12-30

<p><em>Telenomus dissidens</em> Talamas</p>
<p>holotype female, FSCA 00051806</p>
<p>deposited in SAMC</p>
<p>RBX Lab Culture, Gqeberha, RSA, 5-II-2024, Dr. Geman Mulcahy, specimens sourced from lab, likely found on macademia farms in Limpopo or Mpumalanga, Republic of South Africa</p>
github.com/broadinstitute/warp/Glimpse2LowPassImputationQuotaConsumed
Authors: broadinstitute
Type: Software
Published: 2026-08-03

<h3>Warp Analysis Research Pipelines</h3>
<p>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.</p>
<p>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 <a href="https://github.com/broadinstitute/warp/blob/master/LICENSE">BSD 3-Clause license</a>.</p>
<h3>Pipeline releases</h3>
<p>All pipeline releases are listed on the WARP <a href="https://github.com/broadinstitute/warp/releases">releases page</a>. To discover and search releases, use the WARP command-line tool <a href="https://github.com/broadinstitute/warp/tree/develop/wreleaser">Wreleaser</a>.</p>
<h3>WARP Dockers and custom tools in warp-tools repository</h3>
<p>All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, <a href="https://github.com/broadinstitute/warp-tools">warp-tools</a>.</p>
<h3>WARP documentation</h3>
<p>Read more about our pipelines and repository on the <a href="https://broadinstitute.github.io/warp/">WARP documentation site</a>.</p>
<p>To contribute to WARP, please read the <a href="https://broadinstitute.github.io/warp/docs/contribution/README">contribution guidelines</a>.</p>
<h3>Citing WARP</h3>
<p>When citing WARP, please use the following:</p>
<p>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</p>
<p><a href="https://github.com/broadinstitute/warp/actions?query=workflow%3A%22Deploy+WARP+Website%22"></a></p>
github.com/broadinstitute/warp/Glimpse2LowPassImputationQC
Authors: broadinstitute
Type: Software
Published: 2026-08-03

<h3>Warp Analysis Research Pipelines</h3>
<p>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.</p>
<p>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 <a href="https://github.com/broadinstitute/warp/blob/master/LICENSE">BSD 3-Clause license</a>.</p>
<h3>Pipeline releases</h3>
<p>All pipeline releases are listed on the WARP <a href="https://github.com/broadinstitute/warp/releases">releases page</a>. To discover and search releases, use the WARP command-line tool <a href="https://github.com/broadinstitute/warp/tree/develop/wreleaser">Wreleaser</a>.</p>
<h3>WARP Dockers and custom tools in warp-tools repository</h3>
<p>All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, <a href="https://github.com/broadinstitute/warp-tools">warp-tools</a>.</p>
<h3>WARP documentation</h3>
<p>Read more about our pipelines and repository on the <a href="https://broadinstitute.github.io/warp/">WARP documentation site</a>.</p>
<p>To contribute to WARP, please read the <a href="https://broadinstitute.github.io/warp/docs/contribution/README">contribution guidelines</a>.</p>
<h3>Citing WARP</h3>
<p>When citing WARP, please use the following:</p>
<p>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</p>
<p><a href="https://github.com/broadinstitute/warp/actions?query=workflow%3A%22Deploy+WARP+Website%22"></a></p>
github.com/broadinstitute/warp/Glimpse2LowPassImputation
Authors: broadinstitute
Type: Software
Published: 2026-08-03

<h3>Warp Analysis Research Pipelines</h3>
<p>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.</p>
<p>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 <a href="https://github.com/broadinstitute/warp/blob/master/LICENSE">BSD 3-Clause license</a>.</p>
<h3>Pipeline releases</h3>
<p>All pipeline releases are listed on the WARP <a href="https://github.com/broadinstitute/warp/releases">releases page</a>. To discover and search releases, use the WARP command-line tool <a href="https://github.com/broadinstitute/warp/tree/develop/wreleaser">Wreleaser</a>.</p>
<h3>WARP Dockers and custom tools in warp-tools repository</h3>
<p>All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, <a href="https://github.com/broadinstitute/warp-tools">warp-tools</a>.</p>
<h3>WARP documentation</h3>
<p>Read more about our pipelines and repository on the <a href="https://broadinstitute.github.io/warp/">WARP documentation site</a>.</p>
<p>To contribute to WARP, please read the <a href="https://broadinstitute.github.io/warp/docs/contribution/README">contribution guidelines</a>.</p>
<h3>Citing WARP</h3>
<p>When citing WARP, please use the following:</p>
<p>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</p>
<p><a href="https://github.com/broadinstitute/warp/actions?query=workflow%3A%22Deploy+WARP+Website%22"></a></p>
github.com/broadinstitute/warp/FilterMTAndExportToVCF
Authors: Jonathan Nguyen
Type: Software
Published: 2026-08-03

<h3>Warp Analysis Research Pipelines</h3>
<p>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.</p>
<p>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 <a href="https://github.com/broadinstitute/warp/blob/master/LICENSE">BSD 3-Clause license</a>.</p>
<h3>Pipeline releases</h3>
<p>All pipeline releases are listed on the WARP <a href="https://github.com/broadinstitute/warp/releases">releases page</a>. To discover and search releases, use the WARP command-line tool <a href="https://github.com/broadinstitute/warp/tree/develop/wreleaser">Wreleaser</a>.</p>
<h3>WARP Dockers and custom tools in warp-tools repository</h3>
<p>All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, <a href="https://github.com/broadinstitute/warp-tools">warp-tools</a>.</p>
<h3>WARP documentation</h3>
<p>Read more about our pipelines and repository on the <a href="https://broadinstitute.github.io/warp/">WARP documentation site</a>.</p>
<p>To contribute to WARP, please read the <a href="https://broadinstitute.github.io/warp/docs/contribution/README">contribution guidelines</a>.</p>
<h3>Citing WARP</h3>
<p>When citing WARP, please use the following:</p>
<p>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</p>
<p><a href="https://github.com/broadinstitute/warp/actions?query=workflow%3A%22Deploy+WARP+Website%22"></a></p>
github.com/broadinstitute/warp/convert_vcf_to_plink_bed
Authors: broadinstitute
Type: Software
Published: 2026-08-03

<h3>Warp Analysis Research Pipelines</h3>
<p>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.</p>
<p>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 <a href="https://github.com/broadinstitute/warp/blob/master/LICENSE">BSD 3-Clause license</a>.</p>
<h3>Pipeline releases</h3>
<p>All pipeline releases are listed on the WARP <a href="https://github.com/broadinstitute/warp/releases">releases page</a>. To discover and search releases, use the WARP command-line tool <a href="https://github.com/broadinstitute/warp/tree/develop/wreleaser">Wreleaser</a>.</p>
<h3>WARP Dockers and custom tools in warp-tools repository</h3>
<p>All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, <a href="https://github.com/broadinstitute/warp-tools">warp-tools</a>.</p>
<h3>WARP documentation</h3>
<p>Read more about our pipelines and repository on the <a href="https://broadinstitute.github.io/warp/">WARP documentation site</a>.</p>
<p>To contribute to WARP, please read the <a href="https://broadinstitute.github.io/warp/docs/contribution/README">contribution guidelines</a>.</p>
<h3>Citing WARP</h3>
<p>When citing WARP, please use the following:</p>
<p>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</p>
<p><a href="https://github.com/broadinstitute/warp/actions?query=workflow%3A%22Deploy+WARP+Website%22"></a></p>
github.com/broadinstitute/warp/calulateGenotypeDosage
Authors: broadinstitute
Type: Software
Published: 2026-08-03

<h3>Warp Analysis Research Pipelines</h3>
<p>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.</p>
<p>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 <a href="https://github.com/broadinstitute/warp/blob/master/LICENSE">BSD 3-Clause license</a>.</p>
<h3>Pipeline releases</h3>
<p>All pipeline releases are listed on the WARP <a href="https://github.com/broadinstitute/warp/releases">releases page</a>. To discover and search releases, use the WARP command-line tool <a href="https://github.com/broadinstitute/warp/tree/develop/wreleaser">Wreleaser</a>.</p>
<h3>WARP Dockers and custom tools in warp-tools repository</h3>
<p>All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, <a href="https://github.com/broadinstitute/warp-tools">warp-tools</a>.</p>
<h3>WARP documentation</h3>
<p>Read more about our pipelines and repository on the <a href="https://broadinstitute.github.io/warp/">WARP documentation site</a>.</p>
<p>To contribute to WARP, please read the <a href="https://broadinstitute.github.io/warp/docs/contribution/README">contribution guidelines</a>.</p>
<h3>Citing WARP</h3>
<p>When citing WARP, please use the following:</p>
<p>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</p>
<p><a href="https://github.com/broadinstitute/warp/actions?query=workflow%3A%22Deploy+WARP+Website%22"></a></p>
github.com/broadinstitute/warp/calculateAF
Authors: broadinstitute
Type: Software
Published: 2026-08-03

<h3>Warp Analysis Research Pipelines</h3>
<p>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.</p>
<p>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 <a href="https://github.com/broadinstitute/warp/blob/master/LICENSE">BSD 3-Clause license</a>.</p>
<h3>Pipeline releases</h3>
<p>All pipeline releases are listed on the WARP <a href="https://github.com/broadinstitute/warp/releases">releases page</a>. To discover and search releases, use the WARP command-line tool <a href="https://github.com/broadinstitute/warp/tree/develop/wreleaser">Wreleaser</a>.</p>
<h3>WARP Dockers and custom tools in warp-tools repository</h3>
<p>All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, <a href="https://github.com/broadinstitute/warp-tools">warp-tools</a>.</p>
<h3>WARP documentation</h3>
<p>Read more about our pipelines and repository on the <a href="https://broadinstitute.github.io/warp/">WARP documentation site</a>.</p>
<p>To contribute to WARP, please read the <a href="https://broadinstitute.github.io/warp/docs/contribution/README">contribution guidelines</a>.</p>
<h3>Citing WARP</h3>
<p>When citing WARP, please use the following:</p>
<p>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</p>
<p><a href="https://github.com/broadinstitute/warp/actions?query=workflow%3A%22Deploy+WARP+Website%22"></a></p>
github.com/broadinstitute/warp/Beagle5Phasing
Authors: broadinstitute
Type: Software
Published: 2026-08-03

<h3>Warp Analysis Research Pipelines</h3>
<p>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.</p>
<p>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 <a href="https://github.com/broadinstitute/warp/blob/master/LICENSE">BSD 3-Clause license</a>.</p>
<h3>Pipeline releases</h3>
<p>All pipeline releases are listed on the WARP <a href="https://github.com/broadinstitute/warp/releases">releases page</a>. To discover and search releases, use the WARP command-line tool <a href="https://github.com/broadinstitute/warp/tree/develop/wreleaser">Wreleaser</a>.</p>
<h3>WARP Dockers and custom tools in warp-tools repository</h3>
<p>All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, <a href="https://github.com/broadinstitute/warp-tools">warp-tools</a>.</p>
<h3>WARP documentation</h3>
<p>Read more about our pipelines and repository on the <a href="https://broadinstitute.github.io/warp/">WARP documentation site</a>.</p>
<p>To contribute to WARP, please read the <a href="https://broadinstitute.github.io/warp/docs/contribution/README">contribution guidelines</a>.</p>
<h3>Citing WARP</h3>
<p>When citing WARP, please use the following:</p>
<p>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</p>
<p><a href="https://github.com/broadinstitute/warp/actions?query=workflow%3A%22Deploy+WARP+Website%22"></a></p>
github.com/broadinstitute/warp/AggregateSusieWorkflow
Authors: broadinstitute
Type: Software
Published: 2026-08-03

<h3>Warp Analysis Research Pipelines</h3>
<p>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.</p>
<p>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 <a href="https://github.com/broadinstitute/warp/blob/master/LICENSE">BSD 3-Clause license</a>.</p>
<h3>Pipeline releases</h3>
<p>All pipeline releases are listed on the WARP <a href="https://github.com/broadinstitute/warp/releases">releases page</a>. To discover and search releases, use the WARP command-line tool <a href="https://github.com/broadinstitute/warp/tree/develop/wreleaser">Wreleaser</a>.</p>
<h3>WARP Dockers and custom tools in warp-tools repository</h3>
<p>All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, <a href="https://github.com/broadinstitute/warp-tools">warp-tools</a>.</p>
<h3>WARP documentation</h3>
<p>Read more about our pipelines and repository on the <a href="https://broadinstitute.github.io/warp/">WARP documentation site</a>.</p>
<p>To contribute to WARP, please read the <a href="https://broadinstitute.github.io/warp/docs/contribution/README">contribution guidelines</a>.</p>
<h3>Citing WARP</h3>
<p>When citing WARP, please use the following:</p>
<p>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</p>
<p><a href="https://github.com/broadinstitute/warp/actions?query=workflow%3A%22Deploy+WARP+Website%22"></a></p>
github.com/broadinstitute/warp/aggregate_rsem_results
Authors: Francois Aguet
Type: Software
Published: 2026-08-03

<h3>Warp Analysis Research Pipelines</h3>
<p>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.</p>
<p>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 <a href="https://github.com/broadinstitute/warp/blob/master/LICENSE">BSD 3-Clause license</a>.</p>
<h3>Pipeline releases</h3>
<p>All pipeline releases are listed on the WARP <a href="https://github.com/broadinstitute/warp/releases">releases page</a>. To discover and search releases, use the WARP command-line tool <a href="https://github.com/broadinstitute/warp/tree/develop/wreleaser">Wreleaser</a>.</p>
<h3>WARP Dockers and custom tools in warp-tools repository</h3>
<p>All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, <a href="https://github.com/broadinstitute/warp-tools">warp-tools</a>.</p>
<h3>WARP documentation</h3>
<p>Read more about our pipelines and repository on the <a href="https://broadinstitute.github.io/warp/">WARP documentation site</a>.</p>
<p>To contribute to WARP, please read the <a href="https://broadinstitute.github.io/warp/docs/contribution/README">contribution guidelines</a>.</p>
<h3>Citing WARP</h3>
<p>When citing WARP, please use the following:</p>
<p>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</p>
<p><a href="https://github.com/broadinstitute/warp/actions?query=workflow%3A%22Deploy+WARP+Website%22"></a></p>