The Harvard School of Public Health (HSPH) has taken a leading role in interdisciplinary research involving the computational analysis of complex relationships between genes and their environment as well as basic biological and quantitative sciences. The Harvard Chan Bioinformatics Core (HBC) is integral to the development and application of computational biology methods at the School.
HBC provides a single point of contact for Harvard researchers interested in bioinformatics support, applying genomic approaches together with established and developing methodologies from epidemiology, environmental health, biostatistics and bioinformatics to improve human health.
Core staff aid researchers within the Harvard community with the management, integration and contextual analysis of biological high-throughput data, focusing on next-generation sequencing support. We provide consulting, training, tools, databases and best practices, foster collaboration and a community of bioinformatics activities, and build a unified infrastructure supporting a diverse set of experimental systems and high-throughput biological data.
Working with us
Consults are billed at $150/hour after an initial meeting to discuss your project. We will provide you with an estimate of the number of hours required, a quote and a start date as part of our Memorandum of Understanding (PDF). During the project you will receive detailed monthly billing updates and ongoing analysis results via our project page.
Please note that payment of fees for data analysis services and authorship are not mutually exclusive. Depending on their contributions to a project, HBC Data Analysts might be considered collaborators at the same level as other academic colleagues who contribute intellectually and receive funding for work on a project. We follow the general guidelines for authorship laid out by the International Committee of Medical Journal Editors. The recovery of Core expenses through the recharge system does not exclude the possibility for authorship for Core personnel. Similarly, authorship does not substitute for payment of Core expenses for services rendered.
- R-based methods for single cell RNA-seq analysis (BIG Meeting Group)
- Small RNA-seq analysis with bcbio-nextgen (BIG Meeting Group)
- Clinical Sequencing (University of Glasgow)
- bcbio implementation details (Harvard ABCD Group)
- Workflows for clinical sequencing (Sheffield Institute for Translational Neuroscience)
- A framework for RNA-Seq DE comparisons (BIG Meeting Group)
- Community-developed NGS pipelines (2013 Genome Informatics Meeting, CSHL)
For a complete list of core publications see here