WORKFLOW PLUGINS for LIFE SCIENCE, GENOMICS, AND HEALTHCARE

Tools that make life science data searchable, traceable, and actionable.

Diskover’s Life Science plugin suite is designed to extract the signals researchers care about—sample IDs, runs, cases, projects, ownership, and status—then apply that context consistently across storage. The result is faster search, cleaner handoffs, and automation you can trust, without changing how teams store or access data.

Talk to our life science experts about your use cases

BAM plugin.

Optimize every data pipeline in your genomics ecosystem.

The BAM/SAM metadata enrichment plugin extends Diskover’s indexing capabilities into bioinformatics pipelines by harvesting alignment and command-line metadata directly from BAM and SAM files—without requiring any read/write access, ensuring full data integrity.

How it works.
Harvests key genomic metadata. Using Python’s pysam, the plugin extracts attributes such as sample ID, sequencing platform, alignment method, and genome build—plus the MD5 checksum of the original command line to verify lineage and detect redundant or derived files.
Enriches Diskover indexes with scientific context. Extracted BAM and SAM metadata are indexed and correlated across datasets, making genomic files searchable, comparable, and reportable without exposing raw data.
Automates lifecycle and analysis workflows. Researchers can leverage agentic workflows to drive policy-based lifecycle management, streamline validation, and surface context-rich data for downstream AI and modeling pipelines.
Why it matters.
Transforms static files into actionable insight. Turns unstructured genome sequence data into structured, metadata-rich datasets—ready for analytics, machine learning, and reproducible research.
Accelerates research and reproducibility. Enables teams to quickly trace lineage, validate file integrity, and eliminate redundant data, ensuring confidence in every analysis.
Bridges data management and AI-readiness.
By unifying scientific metadata with operational context, Diskover connects the data that fuels genomic discovery, automation, and AI-driven precision analysis.

Rich BAM attributes.

Screenshot showing Diskover’s BAM/SAM Metadata Enrichment Plugin in action. The interface displays indexed BAM file attributes and harvested metadata fields, including sequencing platform, alignment method, genome build, and MD5 checksum. These enriched fields make genomic data searchable, reportable, and AI-ready for downstream analysis and automation.

BAM plugin overview.

Part of the Diskover plugin ecosystem.

The BAM plugin is one of many ways Diskover extends indexing into your workflows. Explore the full plugin ecosystem to enrich metadata, automate actions, and tailor Diskover to your data—no code required.

Visit Diskover’s plugin ecosystem

Ready to bring order to your unstructured world?

Schedule a demo
Start with Community Edition
Scroll to Top