Balancing 3rd-year microbiology coursework while writing custom computational pipelines in Python.
The intersection of wet-lab microbiology and dry-lab bioinformatics is where the real breakthroughs in drug discovery and pathogen genomics are happening.
Big things cooking!
@jr_muj Appreciate it! Sticking with Biopython for the initial MVP to keep development fast, but definitely planning to write custom C/Rust-backed or streaming parsers in Python once handling multi-gigabyte FASTQ/BAM files. What’s your go-to setup for large genomic datasets?
Core parsing engine for @SeqFlow is alive and running.
Successfully validated sequence length, GC% calculation, and codon mapping logic in Python.
Small, functional step forward on the core backend.
#Bioinformatics#Python#BuildInPublic#IndieHackers
@AdvMolecular Priority #1 is restoring gut barrier integrity. Low A. muciniphila + depleted SCFAs thins the mucosal layer, leading to tight junction failure and systemic inflammation. Need targeted prebiotics/polyphenols to rebuild the mucosal base first
@OmicTec_Inst B. DNA Sequence Analysis! Understanding string manipulation, GC content, and parsing FASTA logic gives you the foundational code mechanics first. Once you know how to process sequence data, scaling into high-throughput NGS workflows feels natural.
Core parsing engine for @SeqFlow is alive and running.
Successfully validated sequence length, GC% calculation, and codon mapping logic in Python.
Small, functional step forward on the core backend.
#Bioinformatics#Python#BuildInPublic#IndieHackers
@genbioai AIDO Cell simulates how a cell would change in response to experiments, and how those changes appear across various experimental measurements