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hansenlab.org

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The Hansen lab is led by Kasper Daniel Hansen. The lab is associated with the McKusick-Nathans Insitute of Genetic Medicine. And the Department of Biostatistics. At Johns Hopkins University. We are part of Center for Computational Biology. We are a computational biology lab, interested in analysis of high-throughput experiments. Areas of special interest are epigenetics (particular DNA methylation), gene expression, and biases in high-throughput technologies. IGM: 111 Welch Library. Baltimore, MD 21205.

http://www.hansenlab.org/

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The Hansen lab is led by Kasper Daniel Hansen. The lab is associated with the McKusick-Nathans Insitute of Genetic Medicine. And the Department of Biostatistics. At Johns Hopkins University. We are part of Center for Computational Biology. We are a computational biology lab, interested in analysis of high-throughput experiments. Areas of special interest are epigenetics (particular DNA methylation), gene expression, and biases in high-throughput technologies. IGM: 111 Welch Library. Baltimore, MD 21205.
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2 people
3 publications
4 talks
5 software
6 teaching
7 blog
8 overview
9 research interests
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About | hansenlab.org Reviews

https://hansenlab.org

The Hansen lab is led by Kasper Daniel Hansen. The lab is associated with the McKusick-Nathans Insitute of Genetic Medicine. And the Department of Biostatistics. At Johns Hopkins University. We are part of Center for Computational Biology. We are a computational biology lab, interested in analysis of high-throughput experiments. Areas of special interest are epigenetics (particular DNA methylation), gene expression, and biases in high-throughput technologies. IGM: 111 Welch Library. Baltimore, MD 21205.

INTERNAL PAGES

hansenlab.org hansenlab.org
1

Software

http://www.hansenlab.org/software.html

We contribute to the Bioconductor. A package for parsing output files from Affymetrix microarrays using the Fusion SDK. A package for analyzing whole-genome bisulfite sequencing data. A package implementing a general backend for the bumphunter approach. A package for normalizing RNA-seq data using the CQN algorithm. A package implementing a SQLite. Based backend for genomic data, including sequencing and microarrays. A package for parsing output for Illumina microarrays. Annotation files for the 27k array.

2

About

http://www.hansenlab.org/index.html

The Hansen lab is led by Kasper Daniel Hansen. The lab is associated with the McKusick-Nathans Insitute of Genetic Medicine. And the Department of Biostatistics. At Johns Hopkins University. We are part of Center for Computational Biology. We are a computational biology lab, interested in analysis of high-throughput experiments. Areas of special interest are epigenetics (particular DNA methylation), gene expression, and biases in high-throughput technologies. IGM: 111 Welch Library. Baltimore, MD 21205.

3

Teaching

http://www.hansenlab.org/teaching.html

ENAR 2012, Statistical Methods for Next Generation Sequencing. 2016 Kasper Daniel Hansen with help from Jekyll Bootstrap.

4

Blog

http://www.hansenlab.org/blog.html

Subscribe in a reader (All posts). Subscribe in a reader (R posts only). January 30, 2014. Raquo; Memory profiling in R using lineprof. 2016 Kasper Daniel Hansen with help from Jekyll Bootstrap.

5

Publications

http://www.hansenlab.org/publications.html

0000-0003-0086-0687 Europe PMC Citations. K Kammers, SE Ellis, MA Taub, KD Hansen. Recount: A large-scale resource of analysis-ready RNA-seq expression data. T Triche Jr, KD Hansen. Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array. X Li, Y Liu, T Salz, KD Hansen. Whole genome analysis of the methylome and hydroxymethylome in normal and malignant lung and liver. SV Andrews, C Ladd-Acosta, AP Feinberg, KD Hansen. A Nellore, AE Jaffe, JP Fortin. C Wilks, KD Hansen.

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peterhickey.org peterhickey.org

About – Peter Hickey

http://peterhickey.org/about

For the past eight years, I have applied my statistical skills in genomics research, but I am interested in all areas of statistics (fine,. I love working in collaboration with other people, be they biologists, medical doctors, fellow statisticians, or anyone who simply has data and wants to understand what the hell is going on. A lot of my time is spent programming, mostly in R and Python. I am currently a postdoctoral research fellow in the group of Kasper Hansen. In this role I performed linkage mappi...

jtleek.com jtleek.com

Teaching · jtleek

http://jtleek.com/teaching

Find me online @jtleek. PhD Advanced Data Science. Provides an intensive introduction to applied statistics and data analysis. Trains students to become data scientists capable of both applied data analysis and critical evaluation of the next generation next generation of statistical methods. Since both data analysis and methods development require substantial hands-on experience, focuses on hands-on data analysis. JHSPH 150.711 - Advanced Data Science I [2015 Site]. PhD Applied Methods at Hopkins. We cr...

ccb.jhu.edu ccb.jhu.edu

People at CCB

http://ccb.jhu.edu/people.php

Steven L. Salzberg, Ph.D. Professor of Biomedical Engineering, Computer Science, and Biostatistics. Director, Center for Computational Biology. Computational Biology Consulting Core. McKusick-Nathans Institute of Genetic Medicine. Department of Biomedical Engineering. Johns Hopkins University School of Medicine. Dan Arking, Ph.D. McKusick-Nathans Institute of Genetic Medicine. Department of Medicine, Division of Cardiology. Johns Hopkins University School of Medicine. Joel Bader, Ph.D. 97;jbattle. Johns ...

simplystatistics.org simplystatistics.org

Courses · Simply Statistics

http://simplystatistics.org/courses

Follow us on twitter @simplystats. A statistics blog by Rafa Irizarry, Roger Peng, and Jeff Leek. The authors of this blog have created a large number of massive online open courses that are always available for you to take online. Data Science Specialization on Coursera. This is a series of 9 classes that teach the entire data science process. The classes were built by Jeff Leek. You can sign up through Coursera. Data analysis for life sciences. Genomic Data Science Specialization on Coursera.

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About

The Hansen lab is led by Kasper Daniel Hansen. The lab is associated with the McKusick-Nathans Insitute of Genetic Medicine. And the Department of Biostatistics. At Johns Hopkins University. We are part of Center for Computational Biology. We are a computational biology lab, interested in analysis of high-throughput experiments. Areas of special interest are epigenetics (particular DNA methylation), gene expression, and biases in high-throughput technologies. IGM: 111 Welch Library. Baltimore, MD 21205.

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