Archive for the ‘SciLit’ Category

Haplotype-based profiling of subtle allelic imbalance with SNP arrays

Saturday, October 21st, 2017

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530675/

Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies

Saturday, October 21st, 2017

Geeleher cites http://genome.CSHLP.org/content/early/2017/08/28/gr.221077.117?top=1 … Novel pharmacogenomic biomarkers by imputing drug response in cancer..from…genomics studies #ASHG17
http://genome.cshlp.org/content/early/2017/08/28/gr.221077.117?top=1

SiFit: inferring tumor trees from single-cell sequencing data under finite-sites models | Genome Biology | Full Text

Saturday, October 21st, 2017

http://big.stats.ox.ac.uk/
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1311-2

Multistep nucleation of nanocrystals in aqueous solution : Nature Chemistry : Nature Research

Monday, October 2nd, 2017

Multistep nucleation of nanocrystals in…solution
http://www.Nature.com/nchem/journal/v9/n1/full/nchem.2618.html Creation of Au-Au pair, expelling water, drives cluster formation

QT:{{”
To explain how the gold-rich aqueous phase forms and breaks down in Figures 1A and 2A, we
performed ab-initio calculations of a hydrated gold atom pair (Figure 4). This hydrated atom pair
becomes ionized when brought closer together: the left gold atom plus two nearby water molecules
form a linear cationic coordination complex, [Au(H2O)2]+1, while the right gold atom becomes an
anion surrounded by a simple hydration shell. Other (square planar and linear) complexes involving
chloride and hydroxide ligands may also participate, depending on pH (26, 33) (Section SI2). For
nanoclusters to form inside the gold-rich aqueous phase, pairs of gold atoms within it must be partially
dehydrated. In our calculations (Figure 4), this dehydration is delayed by a 7.6 kcal/mol (12.9 kBT)
energy barrier required to breakdown the linear cationic complex (close to the gold anion).
“}}

also:
https://arxiv.org/abs/1605.04632

Assembly-based inference of B-cell receptor repertoires from short read RNA sequencing data with V’DJer | Bioinformatics | Oxford Academic

Sunday, October 1st, 2017

Assembly-based inference of Bcell receptor repertoires from..RNAseq w/
V’DJer https://academic.OUP.com/bioinformatics/article/32/24/3729/2525640/Assembly-based-inference-of-B-cell-receptor Less diversity assoc w/ long survival

Investigating the case of human nose shape and climate adaptation

Tuesday, September 26th, 2017

The case of human nose shape & climate adaptation
http://journals.PLoS.org/plosgenetics/article?id=10.1371/journal.pgen.1006616 Comparing its Qst-Fst statistic w/ that for height & skin color

QT:{{”
“To address the question of whether local adaptation to climate is responsible for nose shape divergence across populations, we use Qst–Fst comparisons to show that nares width and alar base width are more differentiated across populations than expected under genetic drift alone. To test whether this differentiation is due to climate adaptation, we compared the spatial distribution of these variables with the global distribution of temperature, absolute humidity, and relative humidity. We find that width of the nares is correlated with temperature and absolute humidity, but not with relative humidity. We conclude that some aspects of nose shape may indeed have been driven by local adaptation to climate. However, we think that this is a simplified explanation of a very complex evolutionary history, which possibly also involved other non-neutral forces such as sexual selection.”
“}}

Network propagation: a universal amplifier of genetic associations : Nature Reviews Genetics : Nature Research

Monday, September 11th, 2017

#Network propagation [by Markov walks, heat flow, diffusion, &c]: a universal amplifier of genetic associations
http://www.Nature.com/nrg/journal/v18/n9/abs/nrg.2017.38.html

Lenore Cowen,
Trey Ideker,
Benjamin J. Raphael
& Roded Sharan

http://www.nature.com/nrg/journal/v18/n9/abs/nrg.2017.38.html?foxtrotcallback=true

Protein Structural Memory Influences Ligand Binding Mode(s) and Unbinding Rates – Journal of Chemical Theory and Computation (ACS Publications)

Tuesday, September 5th, 2017

Structural Memory Influences Ligand-Binding Mode http://pubs.ACS.org/doi/abs/10.1021/acs.jctc.5b01052 Rearrangement of #solvation layer is ~100x slower than unbinding

J Chem Theory Comput. 2016 Mar 8;12(3):1393-9. doi:
10.1021/acs.jctc.5b01052. Epub 2016 Feb 3.

Xu M, Caflisch A, Hamm P.

Whole-genome landscapes of major melanoma subtypes : Nature : Nature Research

Tuesday, September 5th, 2017

Hayward, Nicholas K., et al. "Whole-genome landscapes of major melanoma subtypes." Nature 545.7653 (2017): 175-180.

Whole-genome landscapes of…#melanoma subtypes http://www.Nature.com/nature/journal/vaop/ncurrent/full/nature22071.html Sun-exposed cutaneous w. many C>T SNVs v acral/mucosal w. many SVs

Genome sequence-independent identification of RNA editing sites : Nature Methods : Nature Research

Monday, August 28th, 2017

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