Project collaboration & consultation
Experimental design consultation
We recommend an initial consultation with a DSMI staff member before data collection begins. During this meeting, we discuss statistical considerations and experimental design factors that may impact your project outcomes. Once data is collected, a follow-up consultation establishes the analysis plan and defines the project scope.
Data analysis
Our specialists perform comprehensive analyses tailored to your research goals. We have expertise across:
- Genomics (variant and regulatory analyses) and transcriptomics (bulk, single-cell, and spatial RNA-Seq)
- CRISPR loss-of-function screens
- AI/ML-based image analysis, segmentation, and longitudinal volumetric quantitation
- Data management and knowledge graph applications
- Regulatory genomics and functional annotation
Workflow & collaboration
Project workflows combine staff analysis hours with regular progress meetings and written updates. We maintain detailed documentation throughout the project to ensure reproducibility, facilitate knowledge sharing, and support publication preparation. Upon completion, we also handle submission of data to public repositories as needed.
Training & education
Regular classroom sessions
- Scheduled bioinformatics and data science workshops offered throughout the year
- Topics advertised via email to the community
- Registration through iLab
Custom on-demand training
- Tailored sessions for individuals or small groups on specialized topics
- Billed at the same hourly rate as bioinformatics data analysis services
- To arrange: contact Charlie Whittaker (charliew@mit.edu)
Software & infrastructure
DSMI leverages open-source tools wherever possible. We also provide access to specialized commercial software including GeneGO MetaCore (via MIT Libraries) for gene set functional annotation and Seqera Platform for optimal execution of Nextflow workflows on MIT's high-performance computing clusters.