Interpreting Large, Complex Datasets
The Hutch Data Core helps investigators integrate, interpret and explore large and diverse datasets. We provide services that support efficient and reproducible analysis of large-scale datasets for biomedical researchers, drawing on deep expertise in computational biology, software engineering and cloud architecture.
We aim to make it possible for all interested investigators to apply advanced analytical techniques to complex datasets. Our diverse team offers project-based scientific analysis by expert bioinformaticians, automation of analytical pipelines using modern workflow management platforms, and publication of complex datasets with web-accelerated graphics.
In addition to direct bioinformatics support on a per-project basis, the Hutch Data Core offers training and documentation to enable scientist-driven computation. We also support automation of complex workflows for high-performance computing and provide access to web platforms specifically designed to meet researchers’ unique needs.
Data Analysis and Consultation
Our team helps new and established researchers explore complex datasets by offering support during all project stages, from design to implementation. We regularly consult on technology selection and experimental design and conduct data analysis using reproducible workflows.
Data Platforms and Applications
We have designed platforms and applications that address common challenges and act as a foundation upon which researchers can build their data science projects. These applications help investigators visualize massive datasets and reproducibly execute high-performance computing workflows.
Our Team at Work
Our team of bioinformaticians, computational biologists, software engineers and cloud architects provides expertise and guidance to researchers at all levels of data science proficiency. We offer platforms and applications that address common challenges, as well as the opportunity to collaborate on developing novel computational approaches. The Hutch Data Core also provides training and documentation for users seeking to expand their knowledge, and we consult at every stage of the experimental process from planning to implementation.