The Data Science & Multimodal Integration Core (also known as The Barbara K. Ostrom (1978) Bioinformatics Facility) is a shared resource that provides KI researchers with a central hub to help leverage bioinformatics and data science methods in their research projects.
Core expertise
Our team is proficient across a broad range of bioinformatics and data science methods, including:
- Transcriptomics: bulk RNA-Seq, single-cell RNA-Seq, and spatial RNA-Seq
- Genomics: SNP, structural variants (SV), and copy number variation (CNV) analyses
- Regulatory genomics: ChIP-Seq, ATAC-Seq, CUT&RUN, and Hi-C
- Functional genomics: CRISPR-based loss-of-function screens
- Image and metadata analysis: AI/ML-based approaches including knowledge graphs
Services
Collaboration & consultation
- Project-based collaboration with core staff
- Custom guidance on study design and analysis approaches
Training & education
- Classroom and custom training sessions on computational, data science, and bioinformatics topics
- Tailored workshops for requested specialized topics
Technical infrastructure & support
- Computing resource optimization and facilitation
- Bioinformatics software deployment (conda environments and Docker containers)
- Version control and reproducible science (Git repositories)
- Data management support and submission to public repositories
Access is available to all members of the MIT community, to the extent permitted by available capacity. In recognition of funding support, priority access is given to members of the Core’s sponsoring entities (Koch Institute, MIT Biology and MIT Biological Engineering) and NCI-funded research projects. Depending on available capacity, access may be available to non-MIT users (details available on request from DSMI Core Director Charlie Whittaker)
The Data Science & Multimodal Integration Core is supported in part by funding provided to the Koch Institute from a National Cancer Institute Cancer Center Support Grant.
