Posts Tagged ‘from’

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

July 28, 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

for those cold, lonely winter evenings…

July 24, 2016

Guess the correlation http://guessthecorrelation.com/ Perhaps a useful sanity check for data from published papers. It’s so easy to fool oneself.

Slow motion video – 350,000 frames per second!

July 23, 2016

5 second of footage turns into 19 hours!
https://www.youtube.com/watch?v=pudhhUEtnCI

Journal Club

July 23, 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”

Identification of type 2 diabetes subgroups through topological analysis of patient similarity | Science Translational Medicine

July 16, 2016

Patient records
http://stm.sciencemag.org/content/7/311/311ra174

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

July 12, 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

Richard Feynman Thinking Part 1 of 2 – YouTube

July 8, 2016

https://www.youtube.com/watch?v=lr8sVailoLw

GPS4CAM

July 5, 2016

http://gps4cam.com/

Somewhat superior is:
http://www.geotagphotos.net/

Useful w/ demise of eyefi

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

July 4, 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

Single-Cell Co-expression Analysis Reveals Distinct Functional Modules, Co-regulation Mechanisms and Clinical Outcomes

July 2, 2016

#SingleCell Coexpression…Reveals Distinct Func. Modules [v clustering bulk RNAseq]… & Clinical Outcomes [in GBM]
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004892

QT:{{”
We found that the co-expressed genes observed in single cells and bulk tumors have little overlap and show distinct characteristics. The co-expressed genes identified in bulk tumors tend to have similar biological functions, and are enriched for intrachromosomal
interactions with synchronized promoter activity. In contrast, single-cell co-expressed genes are enriched for known protein-protein interactions, and are regulated through interchromosomal interactions. “}}