Category: Products & Services

09 Aug 2018
LabKey software tools for clinical research data

Clinical Research: Improving Data Management & Reporting

Managing and reporting clinical data has historically included manual curation and compilation of datasets from disparate data warehouses. In today’s data-rich environment, manual processing and integration is becoming more and more of a bottleneck.

In order to keep up with the increasing amount of data collected from clinical research, clinicians and statisticians alike need software tools that will centralize their data and help them quickly recognize errors. LabKey Server provides essential tools to overcome these, and other key clinical research challenges including:

LabKey tools for maintaining data integrity in clinical research

Maintaining Data Integrity

Having an accurate representation of clinical data helps transform discoveries and understanding into patient care and treatment. Centrally-housing data in a compliant environment that enforces data standardization can help clinicians maintain excellent data integrity and provide an authoritative view of their data landscape.

LabKey Server helps maintain data integrity by providing:

  • A highly structured data environment with enforceable data fields to ensure data is entered correctly and within range
  • Quality control measures such as data flags, QC of datasets and built-in QC reports
  • Role and group-based permission levels that allow users only access to what they need access to
  • A compliance module, the allows users to set PHI securities, set Terms of Use for users, and provide electronic signatures on data snapshots

LabKey tools for integrating clinical research dataIntegration of Data from Multiple Sources

Bringing together data from disparate sources into a single system can help clinical research stay on track and on time. Collaborative monitoring of data quality by clinicians, statisticians, and scientists enables quick identification of erroneous data and ensures a reliable, integrated data landscape for comprehensive data analysis.

LabKey Server helps facilitate comprehensive data integration by providing:

  • A study module that can recognize and integrate disparate vendor datasets
  • Built-in and customizable integration with electronic data capture systems and case report forms
  • A clinical document abstraction pipeline, which can extract valuable data from legacy documents

LabKey tools for secure reporting and collaboration in clinical researchSecure Reporting and Collaboration

Sharing reports and data with collaborators improves research, innovation, and ultimately patient care. Maintaining compliance and having the ability to quickly share data and reports is an important topic to tackle in clinical research where patient safety and care is the top priority.

LabKey Server improves reporting and collaboration by providing:

  • Dynamic and static reporting tables and visualizations that can be shared as-needed
  • Web-based access to a central platform for data sharing
  • The ability to remove PHI fields or provide randomized IDs when sharing information with collaborators

With the right tools, clinical research teams can eliminate data integration bottle necks and curate reliable datasets for analysis. Sign-up for a free trial to see how LabKey Server can help your team overcome these, and other common clinical research challenges.

Related Documentation

Read more about the features highlighted above on the LabKey Support Portal:

11 Jul 2018

Bench-to-Bedside: Improving the Feedback Loop

Translational research is making large strides in developing and improving effective agents and therapeutic strategies for patients. Despite these advances, bench-to-bedside and then back to bench science is often hindered by poor data management practices, error-prone manual workflows, and a lack of shared spaces where scientists and clinicians can easily collaborate.

In order to be effective in today’s data-rich research environment, teams need effective software tools to help facilitate the feedback loop between the bench and the bedside. LabKey Server provides essential tools to overcome key bench-to-bedside challenges, including:

LabKey software helps maintain good research recordsMaintenance of Good Research Records

Maintenance of good laboratory records is vital for any research and improves repeatability and reproducibility in experiments.  In translational research, this ultimately leads to improved product development, bringing better treatments from bench to bedside faster.

LabKey Server helps teams maintain good research records by providing:

  • The ability to upload raw assay data and assign metadata, allowing experimental data to be traced back to the original experiment
  • Built-in quality control tools that allow scientists to upload their data and examine it for erroneous values
  • A file watcher that automatically loads new data into a new or existing dataset as it becomes available, reducing human interaction and error, and freeing up time for scientists to focus on the science
  • Compliance tools for signing off on records, ensuring data is reviewed

Integrate laboratory data sources using LabKey software tools

Comprehensive Data Integration

In order to examine the subject comprehensively during treatment, many scientists and clinicians must compile data from multiple sources. This is often time-consuming and slows down research to find better curative agents and therapies.

LabKey Server helps facilitate comprehensive data integration by providing:

  • A compliant study environment with tools that simplify the integration of clinic and research data
  • Automated methods for integrating data from a variety of sources (Flow Cytometry, Luminex, data from Electronic Data Capture systems, etc.)
  • Simplified methods for collecting ad-hoc results
  • Tools for comparing subjects across multiple studies

LabKey software tools for sharing scientific data onlineCollaborative Data Sharing

Sharing data with collaborators improves research, innovation, and ultimately the production of new therapies to help patients. While collaborative data sharing provides significant value in research, hurdles like institutional firewalls and outdated data-sharing methods, like bulky emails and insecure websites, often hinder collaboration in the scientific community.

LabKey Server helps teams collaborate securely by providing:

  • Web-based access to a central platform for data sharing
  • A compliant environment with multi-level permissions, so data sharing is secure
  • The ability to remove PHI fields or randomize IDs when sharing information with collaborators

With the right tools, teams can significantly accelerate the pace of translational research. Sign-up for a free trial to see how LabKey Server can help your team overcome these, and other common research challenges.

Try It Now

The trial version of LabKey Server provides access to many of the platform’s core capabilities, in an easy-to-use hosted environment. Users can explore an example project pre-populated with sample data or create and configure their own LabKey projects according to their research needs.

28 Jun 2018

The Power of Structured Data: Customizing Grid Views in LabKey Biologics

When analyzing the output of an experiment, scientists often need to look beyond the results at related data to answer their research questions. Comparing lineage characteristics like which expression system was used to generate an experiment sample or details about the sample itself, such as the buffer used in it, can uncover crucial data patterns and insights.

This type of data exploration requires data to be captured in a structured manner and integrated into a central system where it can be easily accessed, queried, and analyzed.

Structuring Data for Maximum Value

LabKey Biologics provides tools to ensure that data is correctly structured and consistently stored. For each data type within the LabKey Biologics application, users are able to configure a specific structure, indicating the names of fields as well as their type. Because this data is consistently structured, a user can pull together relevant data from different sources for an integrated view of their data during analysis.

Integrating structured assay and sample data in LabKey Biologics using Sample IDs and look-ups.

For example, when looking at the results for a specific assay type, such as optical density, a user can add details about the samples themselves to the assay results data grid. This might include the buffer used, the expression system used to create it, or the name of the antibody (or other molecule) that was being produced.

Customized Data Views for Quicker Access

Users can customize the default assay data grid view to include these additional look-up columns. Customized default views provide quick access to all the data relevant to the user’s research, instead of having to join data each time they view the dataset. Users can also sort, filter, and search the data in these additional columns the same way they can with native assay data fields.

To see this functionality in action, request a demo! To learn more about LabKey Biologics check out our documentation and resources on the LabKey Support Portal. 

14 Jun 2018

Basic Research: Increasing Data Workflows

With ever-increasing technological advancements, basic research laboratories are making scientific discoveries at unprecedented rates. With increasing knowledge and understanding about our world, basic research scientists need affordable ways to improve data management and sharing methodologies. When scientists can perform experiments more accurately and with better reproducibility, they are able to improve data integrity and ultimately quicken time to publication.

In order to be effective in today’s data-rich research environment, scientists are looking to software tools to help facilitate research and time to publication. LabKey Server provides essential tools to overcome key basic research challenges, including:

Connect data from heterogeneous data sourcesEffectively Managing Heterogeneous Lab Data

Effective management and merging experimental data can help identify gaps in research or highlight key insights to new discoveries, but manually comparing performance of a particular molecule, cell line, or other entity across experiments a time-consuming and difficult process.

LabKey Server helps teams manage lab data by providing:

  • Assay integration modules that directly import and transform lab data, such as luminex, flow cytometry, mass spectrometry, ELISA/ELISpot, and more.
  • A flexible, customizable platform that can handle data from team specific assays
  • Easy-to-perform data integration

QC checks ensure data integrity and effective integrationEstablishing Good QC Metrics

Creating good quality control methods as part of standard workflows ensure data integrity and ultimately allow scientists to compare data across experiments to collect reliable, reproducible data.

LabKey Server helps enforce good quality control practices by providing:

  • Automatic type checks, missing value indicators, and range validators on data
  • Built-in QC trend reports, Levy-Jennings and other QC graphs
  • Dataset QC states that flag data for review

Secure methods of collaboration on scientific research projectsCollaborative Data Sharing

Sharing data with internal and external collaborators improves scientific integrity and innovation. Effective collaboration reduces duplicative effort, quickens analytical time, and improves data integrity, enabling cross-functional work and quicker development of discoveries.

LabKey Server facilitates collaboration by providing:

  • Multi-level security permissions, giving teams full control of what information they share and who it is shared with
  • An assay request tracker that allows teams to collaboratively assign new experiments and track their fulfillment
  • Study publishing tools that de-identify data, allowing collaborators to examine data and analyses without interfering with the raw data

Want to see how LabKey Server can help increase data workflows in your basic research environment? Explore these, and other features, of the LabKey Server platform with a 30-day hosted trial. Get started >

30 Apr 2018

Quick Look: Integrating Data From Multiple Assays in LabKey Biologics

Generating analytical data can be a complex process. It can involve navigating internal and/or external approval processes, hours of experiment planning, and the set-up and use of complex equipment. But even with all of these complexities, the most difficult part of the process often ends up being the analysis of the data in a way that generates meaningful, actionable insights.

Experiment data can get siloed, making it difficult to access, and it often takes different shapes that don’t inherently integrate. Scientists need to be able to join and view data from multiple sources in order to understand how measurements from one analysis may correlate, or be impacted by, measurements from another analysis.

Connecting Assay Data in LabKey Biologics

LabKey Biologics provides powerful querying capabilities that allow teams to join data from multiple experiments and view this data as a single grid or report. This data can then be searched, filtered, and shared just like any other grid of data within LabKey Biologics.

This power is essential when observing the relationship between measures. For example, a team may want to investigate whether or not a correlation exists between characteristics like pH and temperature and observed cell growth in a bioreactor. These measures are collected by different instruments, but they need to be viewed side-by-side in order to conduct this analysis.

Building a Query

Using the powerful SQL Schema Browser within LabKey Server, teams can build and execute queries that combine data from different datasets. One common way to compare assay measures is to join datasets by common Sample IDs. This type of join allows the user to see the measurements from multiple assays side-by-side for each Sample ID. Teams can design and execute queries of varying complexity, comparing two assay measures or many assay measures.

Leveraging Sample Lineage

Users can also query the lineage of each sample and present the parent sample (Bioreactor Run) to which a sample is tied as well as what Expression System entity was used in its creation. Sample lineage provides context for the joined assay data, allowing scientists to easily ask questions and conduct comparisons with other sequences that are seen in different experiments.

Manipulating the Joined Data Within Biologics

Once queries have been created, they operate much like any other grid of data in LabKey Biologics. The results of queries are automatically updated every time new data is added into the system and lineage details like Sample IDs, Bioreactor Runs, and Expression Systems are automatically rendered as links, allowing for easier navigation to details about the entities. Query data grids can be manipulated with all of the standard operations available in LabKey Biologics allowing users to search, sort or filter integrated data. Query data can also be easily exported to allow for analysis in downstream systems.

Ready to see this functionality in action? Check out the quick look video above. For more information, request a demo or register for an upcoming “Intro to LabKey Biologics” webinar.

19 Mar 2018

3 Key Reasons Data Accessibility is Essential in Research

Modern research technologies have greatly increased the amount of scientific data being generated, but making full use of that data is still a major challenge. Data accessibility is a consideration at all stages of the research process; for bench scientists making data accessible to informaticians, for teams sharing data cross-departmentally, and for researchers making data accessible to the public.

The accessibility of data is essential for a number of reasons:

1. Minimizing Redundancy of Research Efforts

Research redundancy is a major problem within research organizations and across the research community. By making data accessible to their desired audience, researchers can reduce the number of redundant experiments conducted and instead iterate upon existing research to accelerate discovery.

2. Drawing More Reliable Conclusions from More Data

Broader data accessibility allows research teams to pool data and conduct analysis with greater confidence in their results. The more data a researcher has access to, the more statistical power they have to validate research conclusions and preempt questions of data quality.

3. Inspiring Novel Questions from Different Approaches

New research questions are inspired by different research approaches and through the study of new methodology. Attacking scientific investigations from varying perspectives also helps reduce bias in analytics, experimental design, and conclusion drawing.

Expanding Accessibility with LabKey Server

LabKey Server not only helps teams collect and curate their data, but also helps make it accessible to collaborators and downstream researchers.

Web-Based Access

LabKey Server allows researchers to make their data accessible to a broad or narrow audience through a web-based portal. Web-based access makes it easy to share data as desired and allows interested collaborators to evaluate and alternatively analyze “self-serve” research data. This method of data sharing is both more secure than email (see fine grained permissioning below) and much lower overhead than a standard institutional database as users can query, view, and export data without having to interface with a data scientist.

Fine-Grained Permissions

LabKey’s fine-grained permissions model makes secure, selective sharing of to data simple and reliable. With LabKey Server, teams can easily control who sees their data, restricting access to selected individuals or pre-defined groups, or making data accessible the general public. Researchers also have fine-grained control over what datasets are shared: either a single table of data or an entire research project.

Powerful Metadata

LabKey Server captures detailed metadata to help increase discoverability of research data and provide crucial context for other researchers who hope to explore, reanalyze, and/or expand upon it. Research teams can customize metadata captured for each of their data types and add organization specific metadata to support internal needs.

Interested in learning more about how LabKey Server can enhance the accessibility of your research data? Contact the LabKey team for more information or request a demo!

*To learn how configure accessibility features of LabKey Server, read documentation >

08 Mar 2018

Quick Look: Integrating Analytical Data and Understanding Its Context in LabKey Biologics

One of the core challenges laboratory teams encounter is centralizing their data so it can be easily viewed and analyzed in a single place. Without centralized data, teams must turn to time consuming and error prone manual integration methods to derive value from their analytical data.

LabKey Server’s robust mechanisms for defining assays and uploading assay data are helpful for bringing analytical data into a single system, but LabKey Biologics takes this one step further and provides valuable structure and connections that help biologics research teams understand how that analytical data fits into the larger context.

LabKey Assay Designs: Standardizing Analytical Data Structures

LabKey Biologics allows teams to define or customize assay designs (many editable assay design templates come pre-defined within the system) to capture analytical data in a specific structure. Some teams using LabKey Biologics may need to define only a few assay designs to support their research, while others working in a more complex environment may need to define 100+.

When building an assay design, laboratory teams can choose to add fields specific to batches, runs and results to provide additional context for their data. LabKey supports a wide variety of field types (including integer, float, boolean, and text) and users can configure aliases, validation rules, and a variety of other characteristics for each.

Integrating Data Into the System

Once an assay design has been built in LabKey Biologics, data can be added to the system using that design to provide its structure. There are a number of different ways to load your assay data into LabKey Biologics including:

  • Automatically uploading via the LabKey API
  • Manually uploading spreadsheets
  • Pasting spreadsheet-type data
  • Entering data into a form

The first strategy, automatically uploading, leverages the APIs of LabKey Biologics to allow other instruments or file systems to talk directly to the system. The other three strategies involved a manual process suitable for varying use cases. If you have a large spreadsheet to integrate, you might want to use the manual upload method or paste the tabular data directly into the application. If you just have a couple of values you want to enter, simply entering the data into a form in the LabKey Biologics UI might be the simplest strategy.

Leveraging Sample Lineage for Context

As you know, analytical data generated during experiments is tied to a specific sample. Because the lineage of samples is tracked in LabKey Biologics, the application will automatically query sample lineage when data is uploaded and present relevant biological entities side-by-side with analytical data. Showing the sequence or molecule information adjacent to the analytical data, allows scientists to easily ask questions of their data and conduct comparisons with other sequences that are seen in different experiments.

Ready to see this functionality in action? Watch the quick look video above. For more information, request a demo or check out our “Intro to LabKey Biologics” webinars.

31 Jan 2018

Two Key Things Your Spreadsheet-Based Research Data Management Strategy is Lacking

High-throughput analysis techniques are incredibly powerful and provide teams with more data than ever. While that depth of data often holds the key to scientific insights, organizing such large quantities of data in a consistent and discoverable way has become a major challenge for research teams.

Many teams rely on spreadsheet-based systems to organize and manage their data. This approach becomes less-effective as research scales because spreadsheet-based strategies lack two essential characteristics:

1. Consistency

Spreadsheet data management lacks consistencyManual file management relies on the individual contributor’s abilities to consistently create, name, and store data files. This opens the door to a wide range of human errors that will ultimately impact the discoverability and reliability of your data. Common consistency errors that result from manual data management include:

  • Poorly named files
  • Inconsistent locations
  • Duplicate files

2. Discoverability

Spreadsheet data management lacks discoverabilityCollecting data is a giant hurdle in research, but in reality, it is just the first of many. Researchers need to be able to locate datasets of interest in order to conduct analysis. In a file based environment, discoverability of files is dependent on the consistency with which they are maintained. Were they saved in the correct location? Have they been named according to an agreed upon convention? Is there a clear authoritative file or are there duplicates?

A hitch in any one of these areas can severely hinder the discoverability of your data and make it significantly more difficult to:

  • Track what research data has already been collected
  • Find the data you are looking for when it comes time to analyze

Biology-Aware Data Management with LabKey Server

Scientific data management systems like LabKey Server, help increase the consistency and discoverability of your research data. LabKey Server increases the consistency of data management by providing structured data grids for storing various type of research data. Each data grid type also captures relevant metadata, specific to that data type, in order to help make data more discoverable.

Research-Centric Data Structures

Unlike spreadsheets that treat all types of data the same, LabKey Server provides four primary data structures with unique features to better support common types of research data.*

LabKey Assays – Assay data grids capture data generated from individual experiment runs. Assay data is automatically structured in a batch-run-results hierarchy when data files are added. LabKey Server supports data a variety of common assay designs out of the box, but teams can also design their own assay data structure using LabKey’s General Purpose Assay Design.

LabKey Datasets – Datasets track patient/subject measurements over time. LabKey datasets are automatically aligned and joined together, making it easy to query the integrated data and to create visualizations from multiple datasets.

LabKey Specimens – Specimen repositories track the status of each specimen and vial in your inventory. Built-in reports provide a birds-eye view of specimen information, and advanced search capabilities allow for easy location of specimens.

LabKey Lists – LabKey lists provide general purpose, online, interactive grids for any tabular data. Data stored as a LabKey list can be sorted, filtered, and visualized using built-in tools.

Storing data in a consistent, structured manner is the key for teams that hope to achieve maximum efficiency in operations and maximum value from their data. Not only is it much simpler to find data when it is stored in an expected location, but the centralization and integration makes it possible to query data to more quickly locate information of interest.

Interested in learning more about how LabKey Server can increase consistency and discoverability of your research? Contact the LabKey team for more information or request a demo!

*To learn how to add data to LabKey Server, read documentation >

18 Jan 2018
LabKey Vision 2018

LabKey Vision 2018

2017 was a year of many milestones for the LabKey team. Our newest product, LabKey Biologics, launched in April and has been implemented at four leading pharma and biotech companies, we redesigned the LabKey Server user interface, and we took our compliance functionality to the next level with the introduction of compliant hosting and a suite of new features to support teams working within HIPAA, FISMA and CFR Part 11 compliant environments. LabKey is excited about what the next year has in-store and we want to share our vision for 2018 with the growing LabKey community.

LabKey Server Premium Functionality: R Studio, PHI/PII Handling, Clinical Ontologies

Reinvesting Premium Dollars into Premium Functionality

Each year, LabKey invests in a number of development projects that premium subscribers have shared as key priorities. In 2018, we plan to dedicate development time to a variety of key areas including:

  • Helping secure access to protected data with added support for PHI/PII handling
  • Opening the power of R to more users in a secure manner by introducing sandboxing of R code execution
  • Increasing the reliability and reproducibility of results via versioning of R engines and packages within RStudio configurations
  • Streamlining data integration and enabling rich querying by adding support for clinical ontologies and controlled vocabularies
  • Automating and expanding data acquisition options through pipeline file watchers and integration with cloud storage providers

Curious what new  functionality was introduced in 2017? Read our “What’s New” updates >

Biologics R&D Roadmap: Experiment Grouping of Samples, Assay Data, Lineage Delivering on the Biologics Roadmap

The LabKey Biologics team, in partnership with our product advisory council, has developed an aggressive roadmap for continued development of this flexible system for biologic discovery and development. In 2018, the team will be focusing much of their efforts on:

  • Simplifying access to all relevant experiment data by enabling the grouping of samples, assay data, and notes by experiment
  • Helping teams better understand their data by expanding reporting and visualization capabilities
  • Making it easier for users to standardize and track the creation of media batches through usability improvements to the application’s media registration tools

Interested in learning more about LabKey Biologics? Watch our “Quick Look” video series >

LabKey Software Infrustructure: Java 9, Javascript Shared ComponentsStrengthening our Core Technology Infrastructure

In order to support our ongoing commitment to providing reliable software solutions, each year we dedicate resources to evolving our technology infrastructure to ensure its on-going stability. This year, we are largely focused on enhancements that will improve efficiency for both internal and external developers working with LabKey Server. Our key priorities include the development of a method for sharing JavaScript components between modules, fully supporting Java 9, and maintaining full compatibility with new versions of third-party components.

LabKey Server UX Refinements: New User Experience, Hosted Data Management Solutions, Compliant HostingRefining the LabKey Server User Interface, According to User Feedback

We have heard from new users of LabKey Server that the current experience makes it difficult to get started using the platform. In order to make sure new users can be successful using LabKey Server from the get go, our UX team will be working with new users over the next few months to understand how we can improve our user interface and the tools we provide. In addition, we will be continuing to expand our our hosted solutions in 2018 to make it easier for organizations to adopt and support LabKey Server.

Want to learn more about the recent LabKey Server UI changes? Check out our “New LabKey Server UI” blog series >

In addition to strengthening our solutions this year, we want to continue to strengthen our relationships with you, the LabKey community. We hope that you will join us in this journey toward creating robust and powerful tools for accelerating research. A few ways that you can get involved this year include:

Providing Feedback on the New UI

As teams upgrade to LabKey Server version 17.3 and later, we encourage you to provide feedback about the new UI through the “Give Feedback” form that can be accessed in your LabKey Server account menu. This feedback is reviewed, prioritized, and used directly to help us make decisions about refinements to the LabKey Server UI.

Participating in a New User Walk-Through

Are you new to using LabKey Server? We want to hear about your experience and how we can improve! LabKey User Experience Manager, Jessi Murray, is looking for new users who would be willing to discuss their experience getting started with LabKey Server and how it could be improved.

Email Jessi Murray at for more information!

Attending the LabKey User Conference

The LabKey User Conference is an opportunity for users to gather together and share about how they are using and extending the LabKey platform and solutions. Attendees also participate in round table discussions and work sessions with the LabKey developers where they can explore current challenges and shared feedback directly with the LabKey team.

Interested in speaking at the LabKey User Conference? Email conference manager, Kelsey Gibson at for more information!

20 Dec 2017

LabKey Biologics: A Year in Review

As this year comes to a close, we wanted to take a few minutes to reflect on the year and thank you for joining us on the LabKey Biologics journey. It has been an amazing year and we couldn’t be more excited about what’s coming in 2018!

Launching LabKey Biologics

One of the key parts of developing this application has been the engagement from our LabKey Biologics Product Advisory Council. Since its inception, we’ve been meeting monthly with eight different biotech, pharma, and academic institutions to get feedback. They’ve let us know what we’re doing right (and wrong) and have been invaluable in guiding the product development.

After working with the Product Advisory Council and our initial collaborator, Just Biotherapeutics, for 18 months, we officially launched LabKey Biologics in March. This first version focused on:

Just Biotherapeutics has been rolling out LabKey Biologics and has registered hundreds of biological entities, used workflow management to request thousands of assays, and uploaded analytical data for tens of thousands of samples. Several other members of our advisory board have also become clients and are in the process of implementing LabKey Biologics at their organizations.

Following the release of LabKey Biologics, we had the chance to talk with hundreds of individuals about the new product at PEGS Boston and Bio-IT (we’ll be at both shows again in 2018). Gathering feedback from folks in different roles throughout the industry, active users, and advisory board members has helped us improve the product and plan for future enhancements.

Since we launched in March, we’ve worked on many different improvements to the product. Some of the larger efforts include:

  • Additional Methods to Upload Assay Data
  • Defining the Lineage of a Sample, from Bioreactor Run to Purified Antibody
  • Media Registration – More Options and Ease of Use
  • Updates to the User Interface

What’s Next

As we look to 2018, we are excited to continue expanding the functionality of LabKey Biologics. We’ve got big plans for the next 12 months, including:

  • Defining Experiments
  • Building Analyses and Reports
  • Mapping and Characterizing Post-Translational Modifications
  • Improvements to Bulk Import of Entity Registry, Assay, and Media Data
  • Integrating Custom Assay Definitions with LabKey Biologics

Product Feedback

We’re always interested in feedback! We’d love to connect with each of you in the new year, and have a conversation (or several) to hear about your needs and thoughts on the product’s direction. If you’d like to learn more about LabKey Biologics, we’re hosting a free Intro to Biologics webinar on January 9.

Don’t hesitate to get in touch with us – and best wishes to you in the New Year!

LabKey Biologics Team

Ryan Luce, Product Manager

Kevin Krouse, Lead Software Engineer