Posts Tagged ‘jclub’

PETModule: a motif module based approach for enhancer target gene prediction : Scientific Reports

Saturday, September 17th, 2016

PETModule…enhancer-target-gene prediction
http://www.nature.com/articles/srep30043 Compares activity
correlations against a Hi-C/ChIA-PET gold std.

Universality of human microbial dynamics : Nature : Nature Research

Monday, September 5th, 2016

Universality of human #microbial dynamics
http://www.nature.com/nature/journal/v534/n7606/abs/nature18301.html Addressed via simulations & graphs comparing counts of species v organisms

Direct Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assay: Cell

Thursday, August 18th, 2016

Identification of…expr.-Modulating Variants using #MPRA, by @sabeti_lab http://www.cell.com/cell/fulltext/S0092-8674(16)30421-4 Some w. allelic skew related to PWM change

Whole organism lineage tracing by combinatorial and cumulative genome editing | Science

Wednesday, August 17th, 2016

Whole-organism lineage tracing by combinatorial… genome editing, w. #CRISPR + seq. barcodes, by @JShendure lab
http://science.sciencemag.org/content/early/2016/05/25/science.aaf7907 http://science.sciencemag.org/content/early/2016/05/25/science.aaf7907

Spatial confinement is a major determinant of the folding landscape of human chromosomes

Thursday, July 28th, 2016

Gamze Gursoy, Yun Xu, Amy Kenter and Jie Liang. “Spatial confinement is a major determinant of folding landscape of human genome”, Nucleic Acids Research, 2014, 42 (13), 8223-8230

Confinement is a major determinant of the #folding…of chromosomes http://NAR.oxfordjournals.org/content/42/13/8223.full Simulations of self-avoiding chain growth

http://nar.oxfordjournals.org/content/42/13/8223.full

Journal Club

Saturday, July 23rd, 2016

Basset: #DeepLearning the regulatory code w/…NNs by @noncodarnia lab http://genome.cshlp.org/content/early/2016/05/03/gr.200535.115 Has score for all possible SNVs in the genome

“Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks”

A deep learning framework for modeling structural features of RNA-binding protein targets

Tuesday, July 12th, 2016

#Deeplearning framework for modeling…RBP sites
http://nar.oxfordjournals.org/content/44/4/e32 Uses topic models & determines key primary & tert. struct. features

http://nar.oxfordjournals.org/content/44/4/e32

Predicting peptide binding sites on protein surfaces by clustering chemical interactions – Yan – 2014 – Journal of Computational Chemistry – Wiley Online Library

Monday, July 4th, 2016

Predicting peptide binding sites on protein surfaces by ACCLUSTER http://onlinelibrary.wiley.com/doi/10.1002/jcc.23771/abstract #Chemical interactions out perform pure #packing

How does multiple testing correction work?

Monday, June 13th, 2016

How does multiple-testing correction work
http://www.nature.com/nbt/journal/v27/n12/abs/nbt1209-1135.html Intuition for teaching: genome-wide error rate on a single gene v family

The role of regulatory variation in complex traits and disease : Nature Reviews Genetics : Nature Publishing Group

Sunday, June 12th, 2016

Reg. variation in cplx traits by @LeonidKruglyak
http://www.nature.com/nrg/journal/v16/n4/full/nrg3891.html nice teaching figure for #eQTLs, showing how mostly cis + hotspots http://www.nature.com/nrg/journal/v16/n4/full/nrg3891.html