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Biologics LIMS: Purpose-Built for Biologics, Configurable to Your Science

Biologics R&D spans diverse protein classes and engineered cell lines- generating complex, branching data that most LIMS were never designed to handle. LabKey Biologics LIMS was built for this. It gives your team structured data models, configurable workflows, and a connected architecture designed around protein R&D, so every entity, sample, assay, and result stays linked and traceable as your programs scale.

  • Purpose-built for protein R&D — native data models for biologics workflows, not a chemical LIMS adapted to fit
  • Configurable without IT overhead — tailor workflows, data capture, and entity models to your programs without heavy implementation or developer dependency
  • Connected, traceable data across every stage — from construct design through characterization and process development, full lineage is maintained and always accessible
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Trusted by Biologics Teams Building the Next Generation of Therapies

One Platform. Every Stage of Biologics R&D.

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Maintain Full Sample and Entity Lineage

Track every protein, construct, cell line, and assay result back to its origin, across programs, teams, and stages.

Eliminate Manual Data Reconciliation

Replace fragmented spreadsheets and siloed ELNs with structured, connected data that scientists can actually trust.

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Accelerate Decisions Across Programs

Move faster by easily surfacing assay results, screening outcomes, and entity relationships.

Collaborate Across Functions and CROs

Give internal R&D teams and external partners shared access to clean, consistent data.

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Enforce Data Standards Without IT Overhead

Configurable workflows, validation rules, and role-based access keep data quality high without requiring  IT support.

Build a Foundation for AI and Analytics

Structured, audit-ready datasets so your data is ready for analytics, AI/ML, and regulatory review.

Capabilities That Power Biologics R&D — From Discovery to Development

Sample & Plate Management

Full Visibility Into Every Sample, Plate, and Material

Biologics programs generate sample complexity that spreadsheets can’t handle. LabKey gives you structured control over samples and plates — linked to assays, entities, and results — so every experiment is traceable and reproducible.

  • Track proteins, clones, and materials through screening, expression, purification, and characterization
  • Manage metadata across stages and storage locations
  • Trace relationships across molecules, sequences, constructs, and sample history

Assay Data & Experimental Results

Structured Assay Data Across Every Protein Class and Workflow

Generic tools leave assay data scattered across files and systems. LabKey captures results in a standardized, queryable framework — connected to the samples and entities that generated them.

  • Record and analyze results across assay types for any protein class
  • Apply consistent data structures to support querying and automation
  • Visualize performance trends and surface top candidates without manual cleanup

Bioregistry

One Registry for Every Biological Entity in Your Programs

As programs scale, entity management becomes a bottleneck — especially when constructs, variants, and cell lines are tracked across different tools and teams. LabKey’s Bioregistry centralizes registration and relationship management for every entity your science depends on.

  • Register and manage antibodies, antigens, peptides, vectors, cell lines, and more
  • Define relationships between entities and preserve lineage and scientific context
  • Trace every entity back to its origin, linked samples, and associated assay data

Electronic Lab Notebook

Experiment Documentation That Stays Connected to Your Data

An ELN that exists in isolation from your sample and assay data creates exactly the problem you’re trying to solve. LabKey’s integrated ELN links directly to biological entities, samples, and results — so experimental context is never lost.

  • Link notebook entries to related samples, assays, bioregistry entities, and workflows
  • Reduce documentation burden with structured templates and guided entry options
  • Support review, sign-off, and collaboration workflows for regulatory alignment

See How LabKey Handles the Complexity Other LIMS Can't

Unlike rigid LIMS systems or general-purpose ELNs, LabKey Biologics LIMS is designed from the ground up for protein-based R&D-  configurable to your workflows, extensible as your science evolves, and built to give scientists control.

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Biologics LIMS Pricing

Biologics LIMS

Ideal for growing biotechs focused on antibody discovery.

$495/user/month*

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Sample/Freezer Management table check
Electronic Lab Notebook table check
Biological Entity Registration
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Sequence Registration & Annotation
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Compound Registration
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Sample & Entity Lineage Tracking table check
Assay Data Management table check
Plate Management table check
Work Request Management table check
API Access table check
Secure Cloud Hosting table check
Audit Trail & 21 CFR Part 11 Compliant table check
Analytics Integrations
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Database Integrations
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Automated Data Capture/Transfer table check
Sample & Assay QC table check
Media Registration table check
Technical Support for Extensibility
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On-premise Installation add-on
Software Validation add-on
Migration Services add-on
*Pricing for a minimum of 10 users, billed annually. Volume discount pricing is available.

Learn more about our LIMS software for biotechs.

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The LabKey ELN at Just-Evotec Biologics

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What Is a Bioregistry?

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Integrating Benchling Data in LabKey at Inzen Therapeutics

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Biologics LIMS Frequently Asked Questions

A Biologics LIMS is a laboratory information management system designed specifically for protein-based R&D — antibody discovery, cell line development, construct design, and characterization workflows. General-purpose LIMS platforms and chemical LIMS adapted for biologics weren't built to handle the complex, branching relationships between molecules, variants, constructs, cell lines, samples, and assay results. A purpose-built system provides native data models for all of it.

Most LIMS platforms were built around chemical or clinical workflows and adapted for biologics after the fact. LabKey Biologics LIMS was designed from the ground up for protein R&D — with native data models for antibodies, antigens, vectors, cell lines, and peptides, and a connected architecture that maintains lineage from construct design through characterization. Your team configures it to your science rather than working around a system that wasn't built for it.

A Bioregistry is a centralized system for registering and managing every biological entity your programs depend on — antibodies, antigens, peptides, vectors, cell lines, and more — along with the relationships between them. As programs scale, tracking constructs and variants across disconnected tools creates errors and delays. LabKey's integrated Bioregistry keeps every entity linked to its origin, related samples, and associated assay data, so nothing gets lost as programs grow.

Yes. LabKey Biologics LIMS gives internal R&D teams and external partners like CROs shared access to clean, consistent data through role-based access controls. External collaborators can contribute data without compromising governance, and every action is logged and traceable. And, data quality holds whether work is happening in-house or externally.

Yes. LabKey Biologics LIMS includes a full audit trail and is 21 CFR Part 11 compliant, with role-based access controls, timestamped records of every user action, and data validation rules built into the platform. These capabilities support regulatory alignment without requiring separate compliance tooling.

LabKey captures assay results in a standardized, queryable framework that works across assay types and protein classes — connected directly to the samples and entities that generated them. Your team can query across experiments, visualize performance trends, and surface top candidates without manually reconciling data from separate files or systems.

Yes. LabKey Biologics LIMS supports integrations with analytics platforms including Spotfire, Tableau and R/R Studio, as well as database connections to Amazon S3, PostgreSQL, MS SQL Server, SAS, Oracle, MySQL, and Amazon Redshift. Structured, audit-ready datasets mean your data is ready for analytics, AI/ML workflows, and regulatory review without additional cleanup.