Posts Tagged ‘from_ans’
Saturday, February 7th, 2015
What Makes Art Popular?…Luck & #Opinion of Others
http://www.fastcocreate.com/3027193/what-makes-art-popular-science-says-its-luck-and-the-opinion-of-others Author buys 15k copies of his book to create a bestseller
Posted in -, Uncategorized | Tags: ans, art, from, from_ans, opinion | No Comments »
Tuesday, December 16th, 2014
A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of #Chromatin Looping
http://www.cell.com/cell/abstract/S0092-8674(14)01497-4 HiC data for 9 celltypes
A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping
Suhas S.P. Rao
,Miriam H. Huntley
Neva C. Durand
Elena K. Stamenova
Ivan D. Bochkov
James T. Robinson
Adrian L. Sanborn
Ido Machol
Arina D. Omer
Eric S. Lander
Erez Lieberman Aiden
DOI: http://dx.doi.org/10.1016/j.cell.2014.11.021
http://www.cell.com/cell/abstract/S0092-8674(14)01497-4
Posted in SciLit, Uncategorized | Tags: 4dnuc, ans, from, from_ans, hic | No Comments »
Sunday, December 14th, 2014
A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping
Suhas S.P. Rao
,Miriam H. Huntley
Neva C. Durand
Elena K. Stamenova
Ivan D. Bochkov
James T. Robinson
Adrian L. Sanborn
Ido Machol
Arina D. Omer
Eric S. Lander
Erez Lieberman Aiden
DOI: http://dx.doi.org/10.1016/j.cell.2014.11.021
http://www.cell.com/cell/abstract/S0092-8674(14)01497-4
Posted in SciLit, Uncategorized | Tags: 4dnuc, ans, from, from_ans, hic | No Comments »
Monday, November 24th, 2014
High-throughput functional testing of ENCODE segmentation
predictionsGenome Res. October 2014 24: 1595-1602; Published in Advance July 17, 2014,
that can be used for training predicted enhancers
http://genome.cshlp.org/content/24/10/1595.full.pdf
Posted in SciLit, Uncategorized | Tags: ans, encode, enhancers, from, from_ans, funseq2, metatracks, ncvarg | No Comments »
Saturday, June 28th, 2014
Posted in -, Uncategorized | Tags: ans, from, from_ans, viz | No Comments »
Friday, June 20th, 2014
The TCGA consortium has set up a test of aligner (10
aligners)/quantification (5 methods) sensitivity for RNA-seq quantification. The combinations they tried are available as a virtual machine at:
https://code.google.com/p/irap
Posted in -, Uncategorized | Tags: ans.bioinformatics, from, from_ans | No Comments »