Our Bioinformatics team can help answer scientific questions by analyzing your complex data. Whether you need a short-term boost in data analysis resources or engage a specialized team for a long-term project, Rancho can support your requirements with projects including:

  • Single-Cell transcriptomic analysis in R and Python. Routine analysis includes QC, dimensional reduction, clustering, and differential expression. In-depth cell profiling with atlas-based cell annotation, trajectory inference, and RNA velocity.

  • Processing and analysis of multimodal data. Gene expression, proteomics, and metabolomics differential expression/abundance.

  • DNA or histone binding site analysis (ChIP-seq)

  • Genetic variant detection (single nucleotide variants, insertions/ deletions, copy number variants, genome structure variants)

  • Association of genetic variants or gene expression profiles with disease, drug response, or clinical outcome

  • Development of predictive models using machine learning or logistic regression

  • Pathway analysis and functional enrichment analysis

  • Phylogenetics and sequence analysis

By processing and integrating disparate data types, we can generate a comprehensive biological picture of a disease. This further informs practical biotech and pharmaceutical research and development, including applications in:

Precision Medicine:

Matching drug profiles and human genetic profiles, stratification of patient cohorts, biomarker identification

Drug discovery:

Mechanism of action studies, accelerating discovery pipelines by intelligently screening results, pharmacology applications

Translational medicine:

Drug repositioning for new indications, companions, and diagnostics, enabling cross-discipline communication