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Bioinformatics and Biostatistics Core

Director: Dreyfuss, Jonathan, Ph.D.

Location: Joslin Diabetes Center, 1 Joslin Pl, Suite 350, Boston, MA 02215

Summary:

The Bioinformatics and Biostatistics Core at Joslin Diabetes Center offers a broad range of services supporting basic, clinical, and translational research for those at Joslin and elsewhere. We cumulatively have over 15 years of experience supporting science with biostatistics and bioinformatics analysis. Initial consultations are provided at no charge through support of the Joslin Core or Harvard Catalyst.

Our bioinformatics and biostatistics services cost $100/hour for Joslin investigators and $135/hour for all others. Our average turn-around time is one week.

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Services

  • Bioinformatics and Biostatistics Services ( Material analysis service )

    Bioinformatics and Biostatistics services analysis plans write-ups for grants and papers, design of experiments, power and sample size, comparisons of group means (e.g. t-tests), measures of association (e.g. correlation), time-to-event analyses, mixed models, non-parametric methods, clustering, network analysis, pathway analysis, integration of multiple data types including clinical covariates, causal mediation analysis, genome-scale metabolic flux inference, machine learning, analysis of public data, and visualizations e.g. volcano plots and heatmaps.

    Cost: Our bioinformatics and biostatistics services cost $100/hour for Joslin investigators and $135/hour for all others. Our average turn-around time is one week.

  • Bioinformatics Data Types ( Data analysis service )

    We offer analysis of all high-throughput data types, including: gene expression data from microarrays, qPCR, and bulk and single cell RNA-seq; proteomics, phosphoproteomics, metabolomics and lipidomics from mass spectrometry and other platforms (e.g. SomaLogic); and DNA-seq e.g. ChIP-seq and methyl-seq. We are consistently identifying best-in-class methods as new data types emerge.


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Last updated: 2020-02-04T14:43:51.962-05:00

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The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016