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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
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MendeLIMS: a web-based laboratory information management system for clinical genome sequencing
1Stanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA. genomics_ji@stanford.edu.
BMC Bioinformatics
|August 28, 2014
Summary
Managing clinical genome sequencing studies requires robust laboratory information management systems (LIMS). We developed MendeLIMS, a flexible, web-based LIMS to effectively track patient samples through complex next-generation sequencing workflows.
Area of Science:
- Genomics
- Bioinformatics
- Laboratory Management
Background:
- Clinical genomics studies increasingly rely on next-generation DNA sequencing.
- Managing large patient sample cohorts through complex experimental steps is critical.
- Existing laboratory information management systems (LIMS) need to scale for extensive genetic analysis.
Purpose of the Study:
- To develop a scalable and adaptable LIMS for large-scale clinical genome sequencing projects.
- To address the evolving needs of next-generation DNA sequencing technologies.
- To provide a robust system for managing thousands of patient samples.
Main Methods:
- Developed a web-based LIMS named MendeLIMS.
- Utilized open-source tools for implementation.
- Designed for flexible configuration and extensibility.
Main Results:
- MendeLIMS effectively manages clinical genome sequencing studies.
- The system is adaptable to evolving experimental protocols.
- It is implemented using open-source tools and is highly configurable.
Conclusions:
- MendeLIMS is invaluable for managing clinical genome sequencing studies.
- A demonstration version is available for evaluation.
- The software is freely available for non-commercial use.

