What We Do
Skills and Practice Areas
With years of data analytics experience in Yale University laboratories, SeqHub understands your research and publication standards. We guarantee clear, publication-worthy analysis delivered in a timely fashion. Our philosophy is to work with you to understand the purpose and field-specific terminology of your research to deliver the most personalized service available.
Math and Statistics
Our team of experts are active academic researchers and contributors to the data science field; the following is a sampling of our publications:
“Ritornello: High fidelity control-free chip-seq peak calling”
“Removal of Batch Effects using Distribution-Matching residual Networks”
“Arpeggio: Harmonic compression of ChIP-seq data reveals protein-chromatin interaction signatures”
“FastPCA” - Random matrix projection approach for very fast principle components analysis (SVDS in matlab) – publication pending
“Gating Mass Cytometry by deep learning”
In Situ Quantitative Measurement of HER2mRNA Predicts Benefit from Trastuzumab-Containing Chemotherapy in a Cohort of Metastatic Breast Cancer Patients
Germline competency of parthenogenetic embryonic stem cells from immature oocytes of adult mouse ovary.