linkstream2 microblog

Useful
https://www.electricitylocal.com/states/connecticut/new-haven/

Batch Cloud Data Transfer for @AWScloud
https://AWS.amazon.com/snowball & https://AWS.amazon.com/snowmobile Snail mail trumps email for really large data. Interesting to calculate effective transfer rates as compared “Ethernet.” Surprised that I couldn’t find even crude estimates.

Accurate Prediction of Contact Numbers for Multi-Spanning Helical #MembraneProteins – via #NeuralNetwork w/ dropout
http://pubs.ACS.org/doi/abs/10.1021/acs.jcim.5b00517 In turn, this can enable accurate prediction of the rotation of TM helices & then the 3D #StructurePrediction of the whole protein

http://www.nature.com/nmeth/journal/v12/n4/full/nmeth.3314.html

Genome seq–independent Identification of #RNAediting http://www.Nature.com/nmeth/journal/v12/n4/full/nmeth.3314.html Accurate sites from uncorrelated SNV pair, spanned by reads

Naldi, A. et al. Reconstruction and signal propagation analysis of the Syk signaling network in breast cancer cells. PLOS Computational Biology 13, e1005432 (2017).

Reconstruction & signal propagation analysis of the Syk signaling #network http://journals.PLoS.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005432 Inferring potential targets of the kinase

http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.2001402

#mHealth: Tracking Physiomes & Activity w/ Wearable Biosensors, by @SnyderShot et al http://journals.PLoS.org/plosbiology/article?id=10.1371/journal.pbio.2001402 >250K/day data pts on 43 people

Similarity #network fusion for aggregating data types
http://www.nature.com/nmeth/journal/v11/n3/full/nmeth.2810.html Combines mRNA, miRNA & gene fusions to classify cancer subtypes http://compbio.cs.toronto.edu/SNF/SNF

Similarity #network fusion for aggregating data types http://www.nature.com/nmeth/journal/v11/n3/full/nmeth.2810.html Combines mRNA, miRNA & gene fusions to classify cancer subtypes
http://compbio.cs.toronto.edu/SNF/SNF