faq.gersteinlab.org
ENCODE-Networks Source Code for Context-Specific TF Co-Association Analyses | Gerstein Lab FAQs
https://faq.gersteinlab.org/2014/06/07/encode-networks-source-code-for-context-specific-tf-co-association-analyses
Skip to primary content. ENCODE-Networks Source Code for Context-Specific TF Co-Association Analyses. June 7, 2014. Do you know whether the code for co-association analysis in this paper is available now? If so, it might save us a lot of time. Thanks for your help! The main machine learning method used for the analysis is RuleFit3 which is available here. Http:/ statweb.stanford.edu/ jhf/r-rulefit/rulefit3/R RuleFit3.html. The code is reasonably commented so hopefully it should help. Notify me of new com...
abstracts.gersteinlab.org
Gerstein Lab Abstracts: Talk at 3rd Annual RNA-Seq Boston 2015 Summit [i0rnaseq15]
http://abstracts.gersteinlab.org/2014/12/talk-at-3rd-annual-rna-seq-boston-2015.html
Monday, December 22, 2014. Talk at 3rd Annual RNA-Seq Boston 2015 Summit [i0rnaseq15]. Title: Comparative Transcriptome Analysis. The ENCODE and modENCODE consortia have generated a resource. Containing large amounts of transcriptomic data, extensive mapping of. Chromatin states, as well as the binding locations of over 300. Transcription-regulatory factors for human, worm and fly. The. Extensive data integration on this data set. Here. I will give an overview of the data and some of the key analyses.
abstracts.gersteinlab.org
Gerstein Lab Abstracts: August 2014
http://abstracts.gersteinlab.org/2014_08_01_archive.html
Saturday, August 30, 2014. Re: Abstract for SAMSI meeting, Opening workshop '14 (i0samsi). Http:/ www.samsi.info/bio-ow. The ENCODE and modENCODE consortia have generated a resource. Containing large amounts of transcriptomic data, extensive mapping of. Chromatin states, as well as the binding locations of over 300. Transcription-regulatory factors for human, worm and fly. The consortium performed. Extensive data integration by constructing genome-wide co-expression. Cross-organism parameters can predict...
abstracts.gersteinlab.org
Gerstein Lab Abstracts: December 2013
http://abstracts.gersteinlab.org/2013_12_01_archive.html
Thursday, December 5, 2013. Abstract for Talk at University of Connecticut Health Center (i0ccam). Plummeting sequencing costs have led to a great increase in the number. Of personal genomes. Interpreting the large number of variants in. Them, particularly in non-coding regions, is a central challenge for. Genomics. We investigate patterns of selection in DNA elements from. The ENCODE project using the full spectrum of sequence variants from. Very strong selection constraint, comparable to coding genes:.
faq.gersteinlab.org
gersteinfaq | Gerstein Lab FAQs
https://faq.gersteinlab.org/author/gersteinfaq
Skip to primary content. Skip to secondary content. Batch submissions to the STRESS server. May 18, 2016. I have a large number of structures that I would like to submit to the STRESS server. Does the server offer an option for batch submissions? Dealing w/system boundaries in Voronoi calculations and assigning radii to pseudo-water. April 18, 2016. I’m analyzing protein structures (specifically, I’m performing a Voronoi-based analysis) using the tools linked on the geometry page:. With respect to your s...
abstracts.gersteinlab.org
Gerstein Lab Abstracts: November 2013
http://abstracts.gersteinlab.org/2013_11_01_archive.html
Saturday, November 30, 2013. Abstract for Talk at Keystone Big Data Symposium (i0keybdata). My talk will discuss Human Genome Analysis from a data science perspective. Plummeting sequencing costs have led to a great increase in the number. Of personal genomes. Interpreting the large number of variants in. Them, particularly in non-coding regions, is a central challenge for. One data science construct that is particularly useful for genome. Interpretation is networks. My talk will be concerned with the.
abstracts.gersteinlab.org
Gerstein Lab Abstracts: October 2013
http://abstracts.gersteinlab.org/2013_10_01_archive.html
Saturday, October 19, 2013. Fwd: Abstract for Talk at Duke (i0duke). Plummeting sequencing costs have led to a great increase in the number. Of personal genomes. Interpreting the large number of variants in. Them, particularly in non-coding regions, is a central challenge for. Genomics. We investigate patterns of selection in DNA elements from. The ENCODE project using the full spectrum of sequence variants from. 1,092 individuals in the 1000 Genomes Project Phase 1, including. Using these results, we de...
abstracts.gersteinlab.org
Gerstein Lab Abstracts: December 2014
http://abstracts.gersteinlab.org/2014_12_01_archive.html
Monday, December 22, 2014. Talk at 3rd Annual RNA-Seq Boston 2015 Summit [i0rnaseq15]. Title: Comparative Transcriptome Analysis. The ENCODE and modENCODE consortia have generated a resource. Containing large amounts of transcriptomic data, extensive mapping of. Chromatin states, as well as the binding locations of over 300. Transcription-regulatory factors for human, worm and fly. The. Extensive data integration on this data set. Here. I will give an overview of the data and some of the key analyses.
abstracts.gersteinlab.org
Gerstein Lab Abstracts: November 2014
http://abstracts.gersteinlab.org/2014_11_01_archive.html
Friday, November 7, 2014. Re: Invited Talk at 2014 NIPS Workshop on Machine Learning in Computational Biology. Im sorry. I didnt check my gmail yesterday. 在 Nov 6, 2014，11:13 AM，Mark Gerstein mark@gersteinlab.org. Title: Comparative Genome Analysis. The ENCODE and modENCODE consortia have generated a resource. Containing large amounts of transcriptomic data, extensive mapping of. Chromatin states, as well as the binding locations of over 300. Extensive data integration on this data set. Here. Principles ...
