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Sheffield lab: computational biology at the University of Virginia

Databio.org is the home of a computational biology research group led by Nathan Sheffield at the University of Virginia

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Sheffield lab: computational biology at the University of Virginia | databio.org Reviews
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Sheffield lab: computational biology at the University of Virginia | databio.org Reviews

https://databio.org

Databio.org is the home of a computational biology research group led by Nathan Sheffield at the University of Virginia

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Regulatory Elements Database

This database provides a user interface to the results of Sheffield et al. (2013). The data is from hundreds of DNaseI-hypersensitivity and Affymetrix microarray experiments. On this web interface you can find:. Normalized DNaseI-hypersensitivity profiles for 112 human samples for 2.8 million individual regulatory elements. Normalized Affymetrix gene expression profiles for 112 human samples for about 30,000 Ensembl genes. Motif analysis results for enriched DNA motifs in regulatory clusters. MyoD1 regul...

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1

Join

http://databio.org/join

Are you interested in doing research at the exciting interface of computation and biology? Do you want to work with large biomedical datasets to make a difference in basic science and in human health? A computational biology research group led by Nathan Sheffield. In the Center for Public Health Genomics. Is recruiting individuals with an interest in team-oriented computational biology. Databio.org is the home of a computational biology research group led by Nathan Sheffield. At the University of Virginia.

2

Efficient parallel processing in python with Tabix and MapReduce

http://databio.org/posts/tabix_files.html

Efficient parallel processing in python with Tabix and MapReduce. Feb 4, 2016 by Nathan Sheffield. If you want to do parallel processing on big genomics data in python, you have to have a way to feed each process just a subset of the data. If you just load a bunch of data (say, a BED file) into memory and then try to split your process out to multiple processors, you will duplicate all that data for every process whoops! Can’t do that for a big file. But what if your data aren’t in a BAM file? Create a h...

3

Slides

http://databio.org/slides

These are modular web-based presentations. Built using Reveal.js. Brief introduction to research in the group. Epigenomics and cancer heterogeneity in Ewing sarcoma. Exploring DNA methylation data in a rare pediatric cancer. Using Docker Bioconductor containers for portable, sharable, and reproducible R analysis and package development. 2015 European Bioconductor Developers Meeting, Cambridge, UK. A guide to building, using, modifying, and sharing R environments based on Bioconductor Docker containers.

4

People

http://databio.org/people

PhD Computational Biology and Bioinformatics. Vienna, and Stanford University. Now at UNC), Greg Crawford. And Imperial). After my PhD, I was an HFSP. Postdoctoral Fellow in Christoph Bock’s Lab. At the Center for Molecular Medicine. Vienna, with the return phase of my fellowship in Howard Chang’s Lab. I’ve been lucky to work with lots of other great collaborators. I also have a passion for scientific writing, and am the author of this Scientific Writing web resource. At the University of Virginia.

5

Nathan Sheffield CV

http://databio.org/nathan_sheffield

Assistant Professor, University of Virginia. Depts of Public Health Sciences and Biomedical Engineering. HFSP Postdoc, Computational Epigenomics,. Center for Molecular Medicine, Vienna. Center for Personal Dynamic Regulomes, Stanford University. PhD Computational Biology and Bioinformatics. Databio.org is the home of a computational biology research group led by Nathan Sheffield. At the University of Virginia.

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Regulatory Elements Database

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This database provides a user interface to the results of Sheffield et al. (2013). The data is from hundreds of DNaseI-hypersensitivity and Affymetrix microarray experiments. On this web interface you can find:. Normalized DNaseI-hypersensitivity profiles for 112 human samples for 2.8 million individual regulatory elements. Normalized Affymetrix gene expression profiles for 112 human samples for about 30,000 Ensembl genes. Motif analysis results for enriched DNA motifs in regulatory clusters. MyoD1 regul...

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Welcome to the Sheffield lab! We are a computational biology research group located in the Center for Public Health Genomics. We are affiliated with the Departments of Biomedical Engineering. And Public Health Sciences. As well as the Data Science Institute. And the Child Health Research Center. Looking for a neat place to do research? 1300 Jefferson Park Ave. Charlottesville, VA 22908. Lab space: 6131 MSB (6th floor). Dec 16, 2016. Jul 18, 2016. Open software and data freedom. Feb 4, 2016.

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