Genomics and Bioinformatics
We offer comprehensive support in bacterial genomics and metagenomic analysis, with expertise
spanning genome assembly and annotation, pangenome exploration, phylogenomics, genome-wide
association studies (GWAS), and microbial association networks. Our team additional specializes in
natural product biosynthetic gene cluster (BGC) prediction and annotation. We have developed several
genomic pipelines for identification and annotation of antibiotic resistance, virulence, heavy metal
resistance and stress-response determinants.
For metagenomic workflows, we provide full-service support—from quality control and genome
assembly to MAG reconstruction, annotation, and taxonomic classification. We also conduct differential
abundance analyses for both amplicon (16S) and shotgun metagenomic datasets, and upon request, we
generate publication-quality visualizations and perform a range of ecological and statistical analyses.
We are particularly equipped to construct scalable gene co-occurrence networks that integrate clinical metadata,
enabling exploratory links between microbial genotypes, phenotypes, and clinical outcomes
Machine Construction
We provide personalized, bioinformatics-ready computer builds tailored to the needs—and budgets—of researchers and professionals. Whether you’re an academic scientist, independent contractor, or industry analyst, we work directly with you to design and assemble high-performance machines optimized for computational biology and data analysis.
Unlike traditional PC build services that often carry steep labor markups, our model prioritizes transparency, affordability, and function. You tell us your budget and your computational goals, and we help construct a system that maximizes performance without inflating cost.
We offer optional OS installation (with a strong recommendation for Ubuntu Linux for its compatibility with bioinformatics workflows) and preinstallation of core software packages—including Conda, R/RStudio, and commonly used tools like BLAST+. We’re also happy to install specific pipelines or databases, provided your hardware can support them. Our goal is to deliver plug-and-play systems that let you hit the ground running, whether you’re performing genome assemblies, statistical modeling, or machine learning on biological datasets.