Archive for the 'SciLit' Category
With all due respect to Maholo, lab automation isn’t anthropomorphic : Nature Biotechnology : Nature Research
May 15, 2017Guidelines for DNA Hybrid Molecules | Science
May 15, 2017Singer & Soll
Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors : Nature Genetics : Nature Research
May 6, 2017http://www.nature.com/ng/journal/v49/n5/full/ng.3818.html
Ref component analysis..of transcriptomes, by @Robson_Paul &co http://www.Nature.com/ng/journal/v49/n5/full/ng.3818.html Clustering similarity of samples to tissue references
Evolution of Bow-Tie Architectures in Biology
April 28, 2017Evolution of BowTie Architectures http://journals.PLOS.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004055 3-layer, in-mid-out systems can have small a waist when their goal is compressible
Aging increases cell-to-cell transcriptional variability upon immune stimulation | Science
April 21, 2017#Aging increases cell-to-cell transcriptional variability upon immune stimulation, but just for 225 up-reg. genes http://science.ScienceMag.org/content/355/6332/1433
Impacts of Neanderthal-Introgressed Sequences on the Landscape of Human Gene Expression: Cell
April 16, 2017"Impacts of Neanderthal-Introgressed Sequences on the Landscape of Human Gene Expression"
(http://www.sciencedirect.com/science/article/pii/S0092867417301289)
#Neanderthal-Introgressed Sequences [&]…Gene Expression http://www.Cell.com/cell/abstract/S0092-8674(17)30128-9?_returnURL=http%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867417301289%3Fshowall%3Dtrue ASE for Hn SNPs shows lower #brain expression vs reference
The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery. – PubMed – NCBI
April 16, 2017#IHEC: A Blueprint for…Collab. & Discovery
http://www.Cell.com/cell/abstract/S0092-8674(16)31528-8?_returnURL=http%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867416315288%3Fshowall%3Dtrue Summary bullets on heterogeneity, disease, rel. to SNPs, comp. tools
NAR Breakthrough Article: denovo-db: a compendium of human de novo variants
April 3, 2017.@denovodb: a compendium of [initially ~33K] human de novo variants w. phenotype, freely downloadable as a TSV table
https://academic.OUP.com/nar/article-lookup/doi/10.1093/nar/gkw865
QT:{{”
As of July 2016, denovo-db contained 40 different studies and 32,991 de novo variants from 23,098 trios. Database features include basic variant information (chromosome location, change, type); detailed annotation at the transcript and protein levels; severity scores; frequency; validation status; and, most importantly, the phenotype of the individual with the variant.
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denovo-db.gs.washington.edu/denovo-db/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210614/
Network analytics in the age of big data | Science
April 2, 2017#Network analytics in the age of #BigData
http://science.ScienceMag.org/content/353/6295/123.full Emphasizes analyzing connectivity of graph structures (eg motifs) v nodes
QT:{{”
To mine the wiring patterns of networked data and uncover the functional organization, it is not enough to consider only simple descriptors, such as the number of interactions that each entity (node) has with other entities (called node degree), because two networks can be identical in such simple descriptors, but have a very different connectivity structure (see the figure). Instead, Benson et al. use higher-order descriptors called graphlets (e.g., a triangle) that are based on small subnetworks obtained on a subset of nodes in the data that contain all interactions that appear in the data (3). They identify network regions rich in instances of a particular graphlet type, with few of the instances of the particular graphlet crossing the boundaries of the regions. If the graphlet type is specified in advance, the method can uncover the nodes interconnected by it, which enabled Benson et al. to group together 20 neurons in the nematode worm neuronal network that are known to control a particular type of movement. In this way, the method unifies the local wiring patterning with higher-order structural modularity imposed by it, uncovering higher-order functional regions in networked data. “}}
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