Tag: Biologics LIMS
ML/AI Data Management Strategies for Biotech
SDMS vs LIMS: Which Is Right for Your Research?
Be FAIR: Biotech Data Management for Innovation & Growth
Choosing the Right Sample Management Software for Your Biobank
The biologics development process is a data-driven endeavor. A vast amount of data is generated from many teams with the hopes of answering questions and informing decision-making along the way. Centralizing this data and their analyses across experiments amplifies the power and impact that data has on biologics research and development.
Of course, centralizing biologics assay data means much more than simply storing data in the same place. Data centralization increases the value of biologics data beyond one particular experiment or result by defining data relationships. The ability to aggregate data across multiple samples, assays, and experiments, with metadata describing the relationship of all of these to each other, is where modern data science resides. Whereas the analysis of a single value from a single assay shows a distribution, joining that assay with others reveals a richer data landscape that is ripe for analysis. These data landscapes yield even more insights when they are related to one another across many controlled variables and conditions.
Below are more ways that implementing tools and strategies for data centralization can impact the speed and efficiency of biotherapeutic development.
Data Integrity
Having a single source of truth for data makes it easier for organizations to track how (and by whom) data is generated, accessed, and modified. With the assistance of a biologics data management application serving as a central hub- permissions, auditing, and backups provide control over how, when, where, and by whom data is used. Centralization of data also encourages standardization of data formats across research teams. Standardizing data structures helps validate the data being entered and helps preserve the relationships between data. This leads to downstream efficiency and maximizes the utility of experiments beyond the individual or team from which it was derived.
Collaboration
Centralizing biologics research data also helps promote collaboration between research teams. By storing data in one central location in standardized formats, scientists can easily find, compare and reference existing data in their research. A central repository for data also makes it much easier to see what data is missing or needed to inform decisions. Hand-offs of data are also made easier when all data is centrally stored.
About our Biologics LIMS
LabKey Biologics provides researchers with a set of tools to centralize biological entity registration, workflow management, and data exploration.
- Bioregistry – Register and track molecular entities, nucleotide sequences, protein sequences, expression systems, constructs, vectors, and cell lines
- Biologics Assay Management – Connect design data to related multi-dimensional assay results for a complete data landscape.
- Biologics Workflow Manager – Centrally manage biologics development workflows to help your team collaborate
- Electronic Lab Notebook – Highlight and connect your research entities and data with our biologics ELN
Click Here to take a tour of LabKey Biologics.
NIH Data Management & Sharing Policy
The biologics development process is a data-driven endeavor. A vast amount of data is generated from many teams with the hopes of answering questions and informing decision-making along the way. Centralizing this data and their analyses across experiments amplifies the power and impact that data has on biologics research and development.
Of course, centralizing biologics assay data means much more than simply storing data in the same place. Data centralization increases the value of biologics data beyond one particular experiment or result by defining data relationships. The ability to aggregate data across multiple samples, assays, and experiments, with metadata describing the relationship of all of these to each other, is where modern data science resides. Whereas the analysis of a single value from a single assay shows a distribution, joining that assay with others reveals a richer data landscape that is ripe for analysis. These data landscapes yield even more insights when they are related to one another across many controlled variables and conditions.
Below are more ways that implementing tools and strategies for data centralization can impact the speed and efficiency of biotherapeutic development.
Data Integrity
Having a single source of truth for data makes it easier for organizations to track how (and by whom) data is generated, accessed, and modified. With the assistance of a biologics data management application serving as a central hub- permissions, auditing, and backups provide control over how, when, where, and by whom data is used. Centralization of data also encourages standardization of data formats across research teams. Standardizing data structures helps validate the data being entered and helps preserve the relationships between data. This leads to downstream efficiency and maximizes the utility of experiments beyond the individual or team from which it was derived.
Collaboration
Centralizing biologics research data also helps promote collaboration between research teams. By storing data in one central location in standardized formats, scientists can easily find, compare and reference existing data in their research. A central repository for data also makes it much easier to see what data is missing or needed to inform decisions. Hand-offs of data are also made easier when all data is centrally stored.
About our Biologics LIMS
LabKey Biologics provides researchers with a set of tools to centralize biological entity registration, workflow management, and data exploration.
- Bioregistry – Register and track molecular entities, nucleotide sequences, protein sequences, expression systems, constructs, vectors, and cell lines
- Biologics Assay Management – Connect design data to related multi-dimensional assay results for a complete data landscape.
- Biologics Workflow Manager – Centrally manage biologics development workflows to help your team collaborate
- Electronic Lab Notebook – Highlight and connect your research entities and data with our biologics ELN
Click Here to take a tour of LabKey Biologics.
Antibody Discovery Software for Emerging Biotechs
The biologics development process is a data-driven endeavor. A vast amount of data is generated from many teams with the hopes of answering questions and informing decision-making along the way. Centralizing this data and their analyses across experiments amplifies the power and impact that data has on biologics research and development.
Of course, centralizing biologics assay data means much more than simply storing data in the same place. Data centralization increases the value of biologics data beyond one particular experiment or result by defining data relationships. The ability to aggregate data across multiple samples, assays, and experiments, with metadata describing the relationship of all of these to each other, is where modern data science resides. Whereas the analysis of a single value from a single assay shows a distribution, joining that assay with others reveals a richer data landscape that is ripe for analysis. These data landscapes yield even more insights when they are related to one another across many controlled variables and conditions.
Below are more ways that implementing tools and strategies for data centralization can impact the speed and efficiency of biotherapeutic development.
Data Integrity
Having a single source of truth for data makes it easier for organizations to track how (and by whom) data is generated, accessed, and modified. With the assistance of a biologics data management application serving as a central hub- permissions, auditing, and backups provide control over how, when, where, and by whom data is used. Centralization of data also encourages standardization of data formats across research teams. Standardizing data structures helps validate the data being entered and helps preserve the relationships between data. This leads to downstream efficiency and maximizes the utility of experiments beyond the individual or team from which it was derived.
Collaboration
Centralizing biologics research data also helps promote collaboration between research teams. By storing data in one central location in standardized formats, scientists can easily find, compare and reference existing data in their research. A central repository for data also makes it much easier to see what data is missing or needed to inform decisions. Hand-offs of data are also made easier when all data is centrally stored.
About our Biologics LIMS
LabKey Biologics provides researchers with a set of tools to centralize biological entity registration, workflow management, and data exploration.
- Bioregistry – Register and track molecular entities, nucleotide sequences, protein sequences, expression systems, constructs, vectors, and cell lines
- Biologics Assay Management – Connect design data to related multi-dimensional assay results for a complete data landscape.
- Biologics Workflow Manager – Centrally manage biologics development workflows to help your team collaborate
- Electronic Lab Notebook – Highlight and connect your research entities and data with our biologics ELN
Click Here to take a tour of LabKey Biologics.
Antibody Development with Biologics LIMS
The biologics development process is a data-driven endeavor. A vast amount of data is generated from many teams with the hopes of answering questions and informing decision-making along the way. Centralizing this data and their analyses across experiments amplifies the power and impact that data has on biologics research and development.
Of course, centralizing biologics assay data means much more than simply storing data in the same place. Data centralization increases the value of biologics data beyond one particular experiment or result by defining data relationships. The ability to aggregate data across multiple samples, assays, and experiments, with metadata describing the relationship of all of these to each other, is where modern data science resides. Whereas the analysis of a single value from a single assay shows a distribution, joining that assay with others reveals a richer data landscape that is ripe for analysis. These data landscapes yield even more insights when they are related to one another across many controlled variables and conditions.
Below are more ways that implementing tools and strategies for data centralization can impact the speed and efficiency of biotherapeutic development.
Data Integrity
Having a single source of truth for data makes it easier for organizations to track how (and by whom) data is generated, accessed, and modified. With the assistance of a biologics data management application serving as a central hub- permissions, auditing, and backups provide control over how, when, where, and by whom data is used. Centralization of data also encourages standardization of data formats across research teams. Standardizing data structures helps validate the data being entered and helps preserve the relationships between data. This leads to downstream efficiency and maximizes the utility of experiments beyond the individual or team from which it was derived.
Collaboration
Centralizing biologics research data also helps promote collaboration between research teams. By storing data in one central location in standardized formats, scientists can easily find, compare and reference existing data in their research. A central repository for data also makes it much easier to see what data is missing or needed to inform decisions. Hand-offs of data are also made easier when all data is centrally stored.
About our Biologics LIMS
LabKey Biologics provides researchers with a set of tools to centralize biological entity registration, workflow management, and data exploration.
- Bioregistry – Register and track molecular entities, nucleotide sequences, protein sequences, expression systems, constructs, vectors, and cell lines
- Biologics Assay Management – Connect design data to related multi-dimensional assay results for a complete data landscape.
- Biologics Workflow Manager – Centrally manage biologics development workflows to help your team collaborate
- Electronic Lab Notebook – Highlight and connect your research entities and data with our biologics ELN
Click Here to take a tour of LabKey Biologics.
Does Your Biotech Startup Need a LIMS?
A key function of LabKey Biologics is assisting with antibody development and registration. Registration allows all data from antibody production processes to be associated with the candidate. It also allows for the optimization of processes at each stage of antibody development by facilitating the comparison of antibody experiment data.
Registering Antibodies and Components
To register antibodies, LabKey Biologics provides an easy-to-use Bioregistry. Users can add an antibody description, aliases, and details about the molecule’s lineage. Then, users select the components of this molecule, generally composed of one or more protein sequences, and finalize the stoichiometry. The Bioregistry verifies that this entity, defined by its components and their stoichiometry, has not previously been registered.
Users can also register molecules in bulk through the user interface, or via API. This includes support for importing GenBank files.
Tracking Component Relationships
Antibody development typically utilizes an expression system to produce samples of a molecule and its variations. LabKey Biologics stores key physical characteristics about registered molecules and presents users with captured information about its components, with linkage to the expression system from which it is derived. The relationship between an expression system and its target molecule can be determined from the construct, media, and gene inserts used in the expression system. Users are able to import biologics assay data for samples derived from that expression system for comparison and deeper analytics. When a user registers a new expression system in LabKey Biologics, the application makes an explicit connection between it and the molecule of interest. This relationship is valuable for visualizing and navigating between the related expression system data and the molecule data.
Antibody Development Workflow
Proper coordination of the multifaceted activities involved with antibody development is essential to ensure high quality results. Research managers must orchestrate all activities in their lab to facilitate communication, prevent bottlenecks, and prevent data from becoming siloed. LabKey Biologics provides a centralized system for managing ongoing research workflows and storing data generated across team members. This includes features to generate configurable work requests and track laboratory tasks. By maintaining the relationship between tasks and their resulting data LabKey Biologics ensures smooth handoffs and provides researchers with a holistic view of research operations and workflow progress. For example, a user can navigate from assay result data to the original request for it, facilitating operational visibility.
Additional Resources
LabKey biologics has features to assist researchers in nearly every stage of the biotherapeutic development pipeline. To learn more about LabKey Biologics, please explore the links below.
> Bioregistry
> Biologics Workflow Manager
> Biologics Assay Management
> Electronic Lab Notebook
To request a demo of LabKey Biologics, click here.
Antibody Development with LabKey Biologics
A key function of LabKey Biologics is assisting with antibody development and registration. Registration allows all data from antibody production processes to be associated with the candidate. It also allows for the optimization of processes at each stage of antibody development by facilitating the comparison of antibody experiment data.
Registering Antibodies and Components
To register antibodies, LabKey Biologics provides an easy-to-use Bioregistry. Users can add an antibody description, aliases, and details about the molecule’s lineage. Then, users select the components of this molecule, generally composed of one or more protein sequences, and finalize the stoichiometry. The Bioregistry verifies that this entity, defined by its components and their stoichiometry, has not previously been registered.
Users can also register molecules in bulk through the user interface, or via API. This includes support for importing GenBank files.
Tracking Component Relationships
Antibody development typically utilizes an expression system to produce samples of a molecule and its variations. LabKey Biologics stores key physical characteristics about registered molecules and presents users with captured information about its components, with linkage to the expression system from which it is derived. The relationship between an expression system and its target molecule can be determined from the construct, media, and gene inserts used in the expression system. Users are able to import biologics assay data for samples derived from that expression system for comparison and deeper analytics. When a user registers a new expression system in LabKey Biologics, the application makes an explicit connection between it and the molecule of interest. This relationship is valuable for visualizing and navigating between the related expression system data and the molecule data.
Antibody Development Workflow
Proper coordination of the multifaceted activities involved with antibody development is essential to ensure high quality results. Research managers must orchestrate all activities in their lab to facilitate communication, prevent bottlenecks, and prevent data from becoming siloed. LabKey Biologics provides a centralized system for managing ongoing research workflows and storing data generated across team members. This includes features to generate configurable work requests and track laboratory tasks. By maintaining the relationship between tasks and their resulting data LabKey Biologics ensures smooth handoffs and provides researchers with a holistic view of research operations and workflow progress. For example, a user can navigate from assay result data to the original request for it, facilitating operational visibility.
Additional Resources
LabKey biologics has features to assist researchers in nearly every stage of the biotherapeutic development pipeline. To learn more about LabKey Biologics, please explore the links below.
> Bioregistry
> Biologics Workflow Manager
> Biologics Assay Management
> Electronic Lab Notebook