Posts Tagged ‘from’

Your coffee maker is a bacterial breeding ground

December 18, 2015

Your coffee maker is a #bacterial breeding ground http://qz.com/564102/your-coffee-maker-is-a-bacterial-breeding-ground/ Bugs love the warm water but it appears cleaning is effective

QT:{{"
“The researchers only counted the number of different bacteria types in their samples, not the total cells. A CBS investigation earlier this year found bacteria including staphylococcus and E. coli on the Keurig machines it swabbed. More than half were harboring millions of bacteria cells.

Bacteria appear to thrive in the high temperatures and chemical makeup of the coffee making process itself. Neither user behavior, the type of coffee brewed, nor frequency of the machine’s use seemed to affect the composition of the bacteria present.”

"}}

Cell type- and brain region-resolved mouse brain proteome : Nature Neuroscience : Nature Publishing Group

December 13, 2015

Celltype & region–resolved mouse brain proteome
http://www.nature.com/neuro/journal/v18/n12/full/nn.4160.html proteins enriched there v liver & in specific regions (eg NCX v STR)

http://www.nature.com/neuro/journal/v18/n12/full/nn.4160.html

Room Meeting Reservation Tool

November 29, 2015

works w/ ipad & outlook but not gcal

https://www.yarooms.com/

Babies and cats as coauthors on a manuscript

November 29, 2015

Discussion about listing babies & cats as co-authors on scientific
manuscriptshttp://academia.stackexchange.com/questions/57120/can-i-add-a-baby-as-a-co-author-of-a-scientific-paper via @bornalibran #authorship

Enhancer Evolution across 20 Mammalian Species: Cell

November 28, 2015

#Enhancer Evolution across 20 Mammal[s is faster than for promoters] by @PaulFlicek lab http://www.cell.com/cell/abstract/S0092-8674(15)00007-0 H3K27ac & H3K4me3 #chipseq

http://www.cell.com/cell/abstract/S0092-8674(15)00007-0

Software licenses and retraction

November 25, 2015

Treefinder Retraction Note [interestingly, done editorially due to change in software-license terms] http://www.biomedcentral.com/1471-2148/15/243 HT @bornalibran

Pocket

November 21, 2015

https://getpocket.com/?ep=1

expression patterns in brain

November 18, 2015

Canonical genetic signatures [across 132 structures] of the adult human #brain [in 6 individuals]
http://www.nature.com/neuro/journal/vaop/ncurrent/full/nn.4171.html HT @ozgunharmanci

QT:{{”
We applied a correlation-based metric called differential stability to assess reproducibility of gene expression patterning across 132 structures in six individual brains, revealing mesoscale genetic organization. The genes with the highest differential stability are highly biologically relevant, with enrichment for brain-related annotations, disease associations, drug targets and literature citations.
“}}

A Multiscale Coarse-Graining Method for Biomolecular Systems – The Journal of Physical Chemistry B (ACS Publications)

November 15, 2015

A Multiscale Coarse-Graining Method for Biomolecul[es] http://pubs.acs.org/doi/abs/10.1021/jp044629q Simplified force field from fitting to all-atom #simulations

Sergei Izvekov and Gregory A. Voth *
J. Phys. Chem. B, 2005, 109 (7), pp 2469–2473
DOI: 10.1021/jp044629q

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells : Nature Biotechnology : Nature Publishing Group

November 14, 2015

Heterogeneity in #singlecell RNAseq…hidden subpopulations by @OliverStegle lab http://www.nature.com/nbt/journal/v33/n2/full/nbt.3102.html scLVM corrects for cell cycle phase

Buettner, Florian, Kedar N. Natarajan, F. Paolo Casale, Valentina
Proserpio, Antonio Scialdone, Fabian J. Theis, Sarah A. Teichmann,
John C. Marioni, and Oliver Stegle. "Computational analysis of
cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals
hidden subpopulations of cells." Nature biotechnology 33, no. 2
(2015): 155-160.