Bioinformatics
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:
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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.
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Processing and analysis of multimodal data. Gene expression, proteomics, and metabolomics differential expression/abundance.
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DNA or histone binding site analysis (ChIP-seq)
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Genetic variant detection (single nucleotide variants, insertions/ deletions, copy number variants, genome structure variants)
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Association of genetic variants or gene expression profiles with disease, drug response, or clinical outcome
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Development of predictive models using machine learning or logistic regression
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Pathway analysis and functional enrichment analysis
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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
What discoveries are hiding in your data
We specialize in helping life science companies of all sizes discover what's hidden in their data. Let's chat about how our PhD subject matter expert can help streamline processes, reduce costs, and make discoveries!