THE BIOINFORMATICS CRO, INC.

Capabilities

• Bioinformatics, statistical genetics & computational biology analyses Genomics, transcriptomics, epigenomics, proteomics, metabolomics, metagenomics, microbiome analysis, statistical genetics & GWAS, network analysis, genome resequencing & functional annotation of variants, genome assembly and annotation, comparative genomics, experience working with species in all kingdoms of life, single- cell omics (scRNA-seq, scATAC-seq), multi-omics integration, spatial omics, CRISPR screening analysis, synthetic biology, infectious disease biology, survival analysis • Bespoke dashboards and portals for biological data RShiny, flask • Creating, deploying and automating computational analysis pipelines Nextflow, snakemake, docker, slurm, AWS, Kubernetes, Jupyter notebooks, R, python • Machine learning Classic ML (SVM, random forests, gradient boosting, logistic regression, clustering, dimensionality reduction), application but not development of generative AI and deep learning approaches