G-Labs is an open-source initiative focused on driving innovation in bioinformatics, and multiomics research. We build scalable tools, workflows, and libraries designed to support complex experimental designs across bioinformatics applications. Our mission is to empower researchers with accessible, high-performance, and modern solutions for data analysis and integrative multiomics. Contact for work: nttg8100@gmail.com
- https://github.com/gianglabs/nf-germline-short-read-variant-calling: Germline short read variant calling
- https://github.com/gianglabs/nf-somatic-short-read-variant-calling: Somatic short read variant calling
- https://github.com/gianglabs/nf-nipt-gwas: Using NIPT low coverage sequencing data for GWAS
- https://github.com/gianglabs/nf-short-read-methylation: Short-read methylation calling
- https://github.com/gianglabs/river (private): Data platform for bioinformatics analysis
- https://github.com/gianglabs/smartsensor: The sensor utilizes a smartphone camera to analyze and characterize chemical compounds.
- https://github.com/gianglabs/gkit: Genomics Kit integrates the utilities for bioinformatics setup and analysis (Spark, Spark on SLURM, HAIL, DPGT, GLnexus, IGV-report, etc)
- https://github.com/gianglabs/river-slurm: The ansible for SLURM HPC configuration
Sharing the experiences with community via high-quality content blogs: https://gianglabs.github.io/glabs-docs-blogs/blog
We welcome contributions from the community! Whether it's bug fixes, feature suggestions, or documentation improvements, every contribution helps drive bioinformatics research forward.
Join us on this journey to revolutionize data analysis in mutiomics and beyond!
