Bioinformatics and Data Science CRO

Drug targets and biomarker identification

We have unparalleled expertise in identifying molecular drug targets using molecular network inference approaches tailored to each data type. For instance, we utilize differential gene regulatory network-based methods to pinpoint disease-specific hubs as drug targets or biomarkers by inferring causal disease-specific gene networks. We leverage proprietary customer data, published open-source omics data, or a combination of both to identify the best possible drug targets embedded in the existing data. Our proven track record includes identifying novel drug targets across various disease conditions, such as cancer, cardiovascular, and neurological disorders. We provide drug target identification services across all therapeutic areas.

Bioinformatics

We provide on demand and wide range of bioinformatics solutions such as bulk RNA-seq, scRNA-seq, and spatial RNA-seq analysis, differential expression (DE) analysis, pathway enrichment analysis, differential gene regulatory network (GRN) analysis, WGCNA association network analysis, Mechanism of Action (MoA), pathway enrichment analysis, GSEA, GSVA, genomic analysis, variant detection, GWAS, proteomics and metabolomics data analysis, and integration of omics data. We develop pipelines or applications like R-Shiny or Streamlit for your data and research question.

We either use only your proprietary data or integrate it with the published open-source omics data. Even if you don’t have data but need tailored analysis for your particular research question, we curate litarute data and offer you most optimal bioinformatics analysis solution to find best possible answer to your unique question.

Data Science / Chemoinformatics / Statistics

We provide solutions with Machine Learning (ML) and Deep Learning (DL) to answer your your research questions on molecular, chemoinformatics and clinical datasets.

Our chemoinformatics solutions include, but not limited to, compund hit detection with virtual screening techniques like ligand-based (LBVS) or structure-based virtual screening (SBVS), lead optimization, ADME property prediction, drug toxicity prediction, binding pocket prediction etc. Our multi-step analysis, powered by physics-based and AI-driven approaches, empowers you to select the most promising drug candidates for further in-vitro testing.

We also provide statistical analysis solutions, including Bayesian statistics for your clinical datasets.

Passionate

We ensure exceptional service and aim to build long-lasting collaborations with our customers. We obsess over cutting-edge bioinformatics solutions.

Professional expertise

We deliver reliable and accurate results with performance metrics you can trust. Our world class scientist have proven track record in drug discovery, bioinformatics and data science.

Tailored solution and support

We provide tailored computational analysis for your unique data and research question. We further customize our analysis to further tailor to you additional research questions along the way.