broadinstitute/warp
Nov 2024 – May 2026
13 Months active
Languages Used
MarkdownmdwdlPythonShellWDLYAMLmarkdown
Technical Skills
Documentationpipeline configurationversion controlworkflow managementCloud Computing (GCP)Data Engineering
Jessica Way
PROFILE
Jessica Way
Over thirteen months, this developer contributed to the broadinstitute/warp repository by building and refining cloud-scale bioinformatics pipelines for genomic data processing. They implemented scalable workflows for variant calling, mitochondrial DNA analysis, and quality control, leveraging technologies such as WDL, Python, and Apache Spark. Their work included sharding strategies for large cohort processing, integration with Google Cloud and AWS, and enhancements to documentation and reproducibility. By refactoring pipelines to use HDF5 databases and optimizing resource management, they improved throughput and data integrity. Their approach emphasized maintainable code, clear documentation, and robust workflow orchestration, supporting both research and production-scale genomics analyses.
Overall Statistics
Feature vs Bugs
94%Features
Repository Contributions
22Total
Bugs
1
Commits
22
Features
17
Lines of code
22,355
Activity Months13
Your Network
63 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026Month: 2026-05. Delivered feature to simplify snRNA analysis by removing the count_exons parameter from the Optimus pipeline and dependent workflows, resulting in a single whole-transcript count matrix for snRNA mode. Commit ba4b5afc8414236714b1e39087afbeb20006982f (PR #1809). No major bugs fixed this month. Impact: reduces input complexity, improves downstream consistency, and speeds up snRNA data processing. Skills demonstrated: Python-based pipeline development, code refactoring, Git/version control, and cross-team collaboration.
1 Commits • 1 Features
May 1, 2026Month: 2026-05. Delivered feature to simplify snRNA analysis by removing the count_exons parameter from the Optimus pipeline and dependent workflows, resulting in a single whole-transcript count matrix for snRNA mode. Commit ba4b5afc8414236714b1e39087afbeb20006982f (PR #1809). No major bugs fixed this month. Impact: reduces input complexity, improves downstream consistency, and speeds up snRNA data processing. Skills demonstrated: Python-based pipeline development, code refactoring, Git/version control, and cross-team collaboration.
May 2026
April 2026
2 Commits • 2 Features
Apr 1, 20262026-04 Monthly Summary for broadinstitute/warp: Implemented two major features with direct business impact on data management and scalability. No explicit bug fixes were reported in this period. The work enhances data integrity, accessibility, and scalability for large-scale mtDNA analysis, while showcasing cloud storage, data modeling, and pipeline refactoring skills.
April 2026
2 Commits • 2 Features
Apr 1, 20262026-04 Monthly Summary for broadinstitute/warp: Implemented two major features with direct business impact on data management and scalability. No explicit bug fixes were reported in this period. The work enhances data integrity, accessibility, and scalability for large-scale mtDNA analysis, while showcasing cloud storage, data modeling, and pipeline refactoring skills.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for broadinstitute/warp: Key feature delivered was Scalable Mitochondrial Data Processing with Sharding. Finalized the scaling plan and implemented a sharding strategy to efficiently process large sample sizes while preserving data integrity and semantics. This work was committed as 818d39ff5da63de96e26cff576e527a41df9765a ('mt merge final version (#1802)'). Major bugs fixed: No major bugs fixed for this repository in March 2026. Overall impact: enables scalable processing of mitochondrial data across large cohorts, improving throughput while maintaining accuracy and data fidelity, and establishing a foundation for future performance optimizations. Technological/skills demonstrated: distributed processing design (sharding), data integrity and semantics preservation, versioned release management and collaboration through commits.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for broadinstitute/warp: Key feature delivered was Scalable Mitochondrial Data Processing with Sharding. Finalized the scaling plan and implemented a sharding strategy to efficiently process large sample sizes while preserving data integrity and semantics. This work was committed as 818d39ff5da63de96e26cff576e527a41df9765a ('mt merge final version (#1802)'). Major bugs fixed: No major bugs fixed for this repository in March 2026. Overall impact: enables scalable processing of mitochondrial data across large cohorts, improving throughput while maintaining accuracy and data fidelity, and establishing a foundation for future performance optimizations. Technological/skills demonstrated: distributed processing design (sharding), data integrity and semantics preservation, versioned release management and collaboration through commits.
March 2026
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for broadinstitute/warp highlighting mitochondrial genome coverage workflow improvements and WDL finalize task optimizations. Delivered robust, shard-aware coverage analysis with improved data integrity and resource-efficient runtime configuration, directly contributing to higher data quality, reproducibility, and throughput for downstream analyses.
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for broadinstitute/warp highlighting mitochondrial genome coverage workflow improvements and WDL finalize task optimizations. Delivered robust, shard-aware coverage analysis with improved data integrity and resource-efficient runtime configuration, directly contributing to higher data quality, reproducibility, and throughput for downstream analyses.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 performance summary focusing on cloud-migration work and pipeline reliability for the ReblockGVCF workflow in broadinstitute/warp.
1 Commits • 1 Features
Jan 1, 2026January 2026 performance summary focusing on cloud-migration work and pipeline reliability for the ReblockGVCF workflow in broadinstitute/warp.
January 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 performance summary focused on delivering a high-impact feature in the Warp QC workflow and improving cluster configuration reliability, with emphasis on cross-tool compatibility through chromosome name sanitization.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 performance summary focused on delivering a high-impact feature in the Warp QC workflow and improving cluster configuration reliability, with emphasis on cross-tool compatibility through chromosome name sanitization.
October 2025
2 Commits • 2 Features
Oct 1, 2025October 2025 — Warp: Key feature work and quality improvements focused on documentation and standardized processing. Delivered: - Mitochondria Pipeline Documentation Enhancements: README improvements and fixed minor typos in changelogs for ATAC and Multiome pipelines. - Variant Filtering and QC Pipeline – v9 Update: WDL/script updates to reflect v9 processing, including call rate thresholds, dropped fields, new filter definitions, version bump, and extended worker TTL. Major bugs fixed: none identified as major; minor typo corrections completed in changelogs. Impact and value: - Improves reproducibility and onboarding via better docs, and aligns processing to v9 standards, improving data quality and reliability. - Extended worker TTL reduces job timeouts and improves throughput. - Demonstrates proficiency with WDL, pipeline scripting, and documentation tooling.
2 Commits • 2 Features
Oct 1, 2025October 2025 — Warp: Key feature work and quality improvements focused on documentation and standardized processing. Delivered: - Mitochondria Pipeline Documentation Enhancements: README improvements and fixed minor typos in changelogs for ATAC and Multiome pipelines. - Variant Filtering and QC Pipeline – v9 Update: WDL/script updates to reflect v9 processing, including call rate thresholds, dropped fields, new filter definitions, version bump, and extended worker TTL. Major bugs fixed: none identified as major; minor typo corrections completed in changelogs. Impact and value: - Improves reproducibility and onboarding via better docs, and aligns processing to v9 standards, improving data quality and reliability. - Extended worker TTL reduces job timeouts and improves throughput. - Demonstrates proficiency with WDL, pipeline scripting, and documentation tooling.
October 2025
August 2025
5 Commits • 3 Features
Aug 1, 2025August 2025: Expanded Warp's genomic workflow suite with mitochondria-focused pipelines integrated into Dockstore, introduced a PCA analysis pipeline for unlabeled genomic data, and added an optional aligned ATAC BAM input to skip explicit alignment across ATAC, Multiome, and PairedTag workflows. These deliverables broaden analysis coverage, reduce unnecessary processing, and improve deployment reproducibility through Dockstore exposure and versioned changes. No critical defects were reported; staging promotions and tool-version updates improved reliability and traceability. Technologies demonstrated include WDL, Dockstore integration, BGZ VCF processing, HWE-normalized PCA with visualization, and ATAC/Multiome/PairedTag orchestration, with cross-domain enhancements for mtDNA, HLA genotyping, and QC workflows.
August 2025
5 Commits • 3 Features
Aug 1, 2025August 2025: Expanded Warp's genomic workflow suite with mitochondria-focused pipelines integrated into Dockstore, introduced a PCA analysis pipeline for unlabeled genomic data, and added an optional aligned ATAC BAM input to skip explicit alignment across ATAC, Multiome, and PairedTag workflows. These deliverables broaden analysis coverage, reduce unnecessary processing, and improve deployment reproducibility through Dockstore exposure and versioned changes. No critical defects were reported; staging promotions and tool-version updates improved reliability and traceability. Technologies demonstrated include WDL, Dockstore integration, BGZ VCF processing, HWE-normalized PCA with visualization, and ATAC/Multiome/PairedTag orchestration, with cross-domain enhancements for mtDNA, HLA genotyping, and QC workflows.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered targeted region-based variant filtering and QC for AoU VCF in broadinstitute/warp. Added optional start and end position arguments to the Python script and WDL workflow to enable region-restricted filtering and QC, refining variant selection with adjusted filtering thresholds. This work improves data quality for AoU analyses, enables precise, region-specific cohort processing, and lays groundwork for scalable, reproducible AoU data handling. Committed as 28525075a4f2671bf3eeed650affa757fe7d596e with message 'Jw subset aou vcf by region (#1626)'.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered targeted region-based variant filtering and QC for AoU VCF in broadinstitute/warp. Added optional start and end position arguments to the Python script and WDL workflow to enable region-restricted filtering and QC, refining variant selection with adjusted filtering thresholds. This work improves data quality for AoU analyses, enables precise, region-specific cohort processing, and lays groundwork for scalable, reproducible AoU data handling. Committed as 28525075a4f2671bf3eeed650affa757fe7d596e with message 'Jw subset aou vcf by region (#1626)'.
July 2025
June 2025
1 Commits
Jun 1, 2025June 2025: Stabilized the Snm3C pipeline batch processing in Warp for Google Batch, delivering a reliability fix and ensuring future compatibility. Key changes include updating the cromwell_root_dir default to align with Google Batch requirements, bumping the Snm3C pipeline version, and refreshing the changelog to document the change. Result: improved reliability and scalability of Snm3C workflows on Google Cloud with maintainable versioning.
June 2025
1 Commits
Jun 1, 2025June 2025: Stabilized the Snm3C pipeline batch processing in Warp for Google Batch, delivering a reliability fix and ensuring future compatibility. Key changes include updating the cromwell_root_dir default to align with Google Batch requirements, bumping the Snm3C pipeline version, and refreshing the changelog to document the change. Result: improved reliability and scalability of Snm3C workflows on Google Cloud with maintainable versioning.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for broadinstitute/warp development. Focused on delivering the Genomic Variant QC Pipeline and Per-Chromosome VCF Generation feature, enabling scalable quality control of genomic variants on cloud infrastructure. Implemented a Hail-based QC pipeline with a WDL workflow to orchestrate execution on Google Cloud Dataproc, and added per-chromosome VCF generation accompanied by detailed QC reports. This work enhances automation, reproducibility, and scalability of genomic QC, while reducing manual intervention in downstream analysis.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for broadinstitute/warp development. Focused on delivering the Genomic Variant QC Pipeline and Per-Chromosome VCF Generation feature, enabling scalable quality control of genomic variants on cloud infrastructure. Implemented a Hail-based QC pipeline with a WDL workflow to orchestrate execution on Google Cloud Dataproc, and added per-chromosome VCF generation accompanied by detailed QC reports. This work enhances automation, reproducibility, and scalability of genomic QC, while reducing manual intervention in downstream analysis.
May 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 — Broad Institute Warp: Delivered versioning and output-name standardization across the ReblockGVCF workflow and related pipelines, with changelog updates and coordinated version bumps across ReblockGVCF, UltimaGenomicsWholeGenomeGermline, and BroadInternalUltimaGenomics. This work improves reproducibility, traceability, and downstream automation across the pipeline suite.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 — Broad Institute Warp: Delivered versioning and output-name standardization across the ReblockGVCF workflow and related pipelines, with changelog updates and coordinated version bumps across ReblockGVCF, UltimaGenomicsWholeGenomeGermline, and BroadInternalUltimaGenomics. This work improves reproducibility, traceability, and downstream automation across the pipeline suite.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 — Focused on improving documentation and discoverability for the snM3C pipeline in broadinstitute/warp. Key feature delivered: added a new Documentation entry for Summary_PerCellOutput in the README's docs table, describing a custom bash function used to untar files at a per-cell level, improving discoverability of this capability. Committed change documented in the repo history. Major bugs fixed: none reported this period. Overall impact: enhanced developer and user onboarding, enabling faster adoption of per-cell untar workflows and reducing support overhead. Technologies/skills demonstrated: documentation best practices, clear commit messaging, and README-driven UX improvements within a collaborative repository.
1 Commits • 1 Features
Nov 1, 2024November 2024 — Focused on improving documentation and discoverability for the snM3C pipeline in broadinstitute/warp. Key feature delivered: added a new Documentation entry for Summary_PerCellOutput in the README's docs table, describing a custom bash function used to untar files at a per-cell level, improving discoverability of this capability. Committed change documented in the repo history. Major bugs fixed: none reported this period. Overall impact: enhanced developer and user onboarding, enabling faster adoption of per-cell untar workflows and reducing support overhead. Technologies/skills demonstrated: documentation best practices, clear commit messaging, and README-driven UX improvements within a collaborative repository.
November 2024
Activity
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Quality Metrics
Correctness93.6%
Maintainability84.6%
Architecture88.2%
Performance82.8%
AI Usage25.4%
Skills & Technologies
Programming Languages
MarkdownPythonShellWDLYAMLbashmarkdownmdpythonr
Technical Skills
Apache SparkBioinformaticsBioinformatics PipelinesCI/CDCloud ComputingCloud Computing (GCP)Data AnalysisData EngineeringData ProcessingDevOpsDockerDocumentationGenomic Data ProcessingGenomicsHDF5
Repositories Contributed To
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