| URL: | https://gitlab.com/vejnar/labxdb |
| Full name: | Databases for Laboratories |
| Description: | LABXdb is established to share Experimental laboratory management and data-driven science require centralized software |
| Year founded: | 2020 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | American Samoa |
| Data type: | |
| Data object: |
NA
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| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | Yale University |
| Address: | Yale Cancer Center, Yale University School of Medicine, New Haven, CT 06510, USA. |
| City: | |
| Province/State: | New Haven |
| Country/Region: | American Samoa |
| Contact name (PI/Team): | Charles E Vejnar |
| Contact email (PI/Helpdesk): | charles.vejnar@gmail.com |
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LabxDB: Versatile databases for genomic sequencing and lab management. [PMID: 32502232]
SUMMARY: Experimental laboratory management and data-driven science require centralized software for sharing information such as lab collections or genomic sequencing datasets. Although database servers such as PostgreSQL can store such information with multiple-user access, they lack user-friendly graphical and programmatic interfaces for easy data access and inputting. We developed LabxDB, a versatile open-source solution for organizing and sharing structured data. We provide several out-of-the-box databases for deployment in the cloud including simple mutant or plasmid collections and purchase-tracking databases. We also developed a high-throughput sequencing (HTS) database, LabxDB seq, dedicated to storage of hierarchical sample annotations. Scientists can import their own or publicly available HTS data into LabxDB seq to manage them from production to publication. Using LabxDB's programmatic access (REST API), annotations can be easily integrated into bioinformatics pipelines. LabxDB is modular, offering a flexible framework that scientists can leverage to build new database interfaces adapted to their needs. |