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We develop quantitative methods and software for genomics and epigenetics. We focus on microarrays and next generation sequencing. We are interested in leveraging our expertise in handling these data to help translate scientific research into medical practice with a focus on cancer. Specific problems we are currently working on include:. Developing analysis tools for various applications. Analyzing high throughput DNA methylation data. Preprocessing algorithms for Affymetrix arrays.

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We develop quantitative methods and software for genomics and epigenetics. We focus on microarrays and next generation sequencing. We are interested in leveraging our expertise in handling these data to help translate scientific research into medical practice with a focus on cancer. Specific problems we are currently working on include:. Developing analysis tools for various applications. Analyzing high throughput DNA methylation data. Preprocessing algorithms for Affymetrix arrays.

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2 lab members

3 past lab members

4 publications

5 software

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7 courses

8 our research

9 next generation sequencing

10 quantitative epigenetics

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https://rafalab.dfci.harvard.edu

We develop quantitative methods and software for genomics and epigenetics. We focus on microarrays and next generation sequencing. We are interested in leveraging our expertise in handling these data to help translate scientific research into medical practice with a focus on cancer. Specific problems we are currently working on include:. Developing analysis tools for various applications. Analyzing high throughput DNA methylation data. Preprocessing algorithms for Affymetrix arrays.

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jtleek.com

Data · jtleek

http://jtleek.com/data

Find me online @jtleek. A database of free RNA-seq data sets at the gene count level created by Alyssa. Medical Journal P-value Data. A set of p-values scraped from the abstracts of the New England Journal of Medicine, JAMA, BMJ, The Lancet, and the Amerian Journal of Epidemiology from 2000-2010 created by Jeff. Processed data from 667 RNA-seq samples from the GEUVADIS. Project created by Alyssa. Processed with Tophat2 and created by Alyssa. Data from our laboratory experiment of peer review.

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rafalab.dfci.harvard.edu

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We develop quantitative methods and software for genomics and epigenetics. We focus on microarrays and next generation sequencing. We are interested in leveraging our expertise in handling these data to help translate scientific research into medical practice with a focus on cancer. Specific problems we are currently working on include:. Developing analysis tools for various applications. Analyzing high throughput DNA methylation data. Preprocessing algorithms for Affymetrix arrays.

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