About Me
My name is Diana Lin, and I’m a research programmer and data scientist at the Genome Sciences Centre at BC Cancer in the Dr. Aly Karsan Lab. Currently, I am developing bioinformatics pipelines for next-generation sequencing data.
I recently graduateed from the Bioinformatics Graduate program at the University of British Columbia (UBC) in Vancouver, BC. In October 2021, I finished my Master of Science in Bioinformatics. In 2018, I completed my Bachelor of Science in Physiology at McGill University. In between, I held an 8-month internship at the Bioinformatics Technology Lab.
MSc Thesis
For my Master’s thesis, I developed and executed a scalable bioinformatics-based discovery platform to conduct data mining for anti-microbial peptide (AMP) sequences in publicly available genomic resources. These genomic resources include various tissue RNA-seq reads from a broad selection of amphibians (frogs and toads) and insects (ants, bees, and wasps). Discovered AMP sequences were synthesized and tested for bioactivity against various pathogens and suitability for drug development. The pipeline, rAMPage, can be found here.
rAMPage is published in Antibiotics:
Lin, D., Sutherland, D., Aninta, S.I., Louie, N., Nip, K.M., Li, C., Yanai, A., Coombe, L., Warren, R.L., Helbing, C.C., Hoang, L.M.N., & Birol, I. (2022). "Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage." Antibiotics 11(7):952. https://doi.org/10.3390/antibiotics11070952
Read the news article here.
Potential alternatives to conventional antibiotics identified by rAMPage—a bioinformatics pipeline that mines amphibian and insect RNA for antimicrobial peptides (#AMP): https://t.co/Hx8qwkMvpI@GenomeBC @GenomeCanada @IAFBC @InancBirol @di_lyn @MDPIOpenAccess @antibioticsmdpi pic.twitter.com/wKNKp9iyl0
— Canada’s Michael Smith Genome Sciences Centre (@BCCancer_GSC) July 28, 2022
#AntimicrobialPeptides (AMPs) are a promising alternative to conventional antibiotics.
— Science in Vancouver (@ScienceVancity) July 30, 2022
Diana Lin (@Di_Lyn) and a team at @BCCancer_GSC developed a #bioinformatics pipeline to identify AMPs in #RNAseq datasets from 75 amphibian and insect species. 🐸
🖇️ https://t.co/S8k7EUQ4u4 pic.twitter.com/A1MXXqvo9y