Hello!
Welcome to the GitHub page of the Bioinformatics Lab at De La Salle University, Manila.
We build algorithms, software, and machine learning models to solve a wide range of problems in biology.
We work on algorithms and software for high-throughput sequencing data analysis, bioinformatics for diseases and epidemics, computer architecture for bioinformatics algorithms, and similar topics.
More information on the lab can be found at the lab's home page here.
Bioinformatics pipeline for profiling anti-microbial resistance genes from hospital wastewater
Published in Bioinformatics. Phage-host interaction prediction tool that incorporates protein structure information in representing receptor-binding proteins (RBPs). It improves performance especially for phages with RBPs that have low sequence similarity to those of known phages
Published in GigaScience. Web app for post-GWAS/QTL analysis that performs a slew of novel bioinformatics analyses to cross-reference GWAS/QTL mapping results with a host of publicly available rice databases
Published in PLOS ONE. Phage-host interaction prediction tool that uses protein language models to represent the receptor-binding proteins of phages. It presents improvements over using handcrafted sequence properties and eliminates the need to manually extract and select features from phage sequences
Collection of analysis scripts and notebooks related to regulated cell death
Quick-and-dirty differential gene expression analysis pipeline that avoids computationally demanding de-novo transcriptome assembly
A Snakemake pipeline for drug-resistance profiling using HIV whole-genome NGS data
