Posts Tagged ‘x57l’

How to identify anonymous prose – Johnson

November 3, 2018

How to identify anonymous prose
http://Economist.com/books-and-arts/2018/09/22/how-to-identify-anonymous-prose Interesting parallels between #textmining & genome seq. analysis (eg finding characteristic k-mers for a bacterial species)

Dynamic Human Environmental Exposome Revealed by Longitudinal Personal Monitoring: Cell

November 3, 2018

Dynamic…Environmental #Exposome Revealed by
Longitudinal…Monitoring, by @SnyderShot lab
https://www.Cell.com/cell/fulltext/S0092-8674(18)31121-8 QT: “Developed…method to monitor personal airborne biological & chem. exposures & followed…15 individuals for up to 890 days & >66… locations.”

https://www.cell.com/cell/pdf/S0092-8674(18)31121-8.pdf

Sigma Xi Conference this Week

October 30, 2018

My notes from the Sigma Xi Conference

LECTURES

http://lectures.gersteinlab.org/summary/Using-population-scale-functional-genomics-mental-disease-n-exploiting-data-exhaust-20181025-i0sigma/

http://lectures.gersteinlab.org/summary/Thoughts-on-Annotation-Variants-Application-disease-context–20182310-i0sigma+ucsf/

TWEETS

Favorited-Tweets-from-i0sigma-meeting.xlsx

https://docs.google.com/spreadsheets/d/e/2PACX-1vQ9yzRc3_Dl0bUJ5K4oxNAdLjNdZYiMk-LuZTYxn-3Spmli94nc15x4zd_lUiw3NX4BxOZNqryQ462J/pubhtml

http://meetings.gersteinlab.org/2018/10.30/Favorited-Tweets-from-i0sigma-meeting.xlsx

http://meetings.gersteinlab.org/2018/10.30/printout-of-liked-tweets-from-i0sigma.pdf

LINKS

https://linkstream2.gerstein.info/tag/i0sigma/

OTHER

Slides (Private)

http://meetings.gersteinlab.org/2018/10.30/For%20labdropbox%20-%20Many%20slide%20pics%20from%20SigmaXi%20meeting%20-%20i0sigma%20–/

DB: Sorting files in chronological order of creation–not by modified

October 11, 2018

Dropbox does not currently have a feature to sort files via chronological order.

We can see all of your files if you go to the following link: http://www.dropbox.com/events

Calendar adjustments and course demand

September 3, 2018

course stats
https://ivy.yale.edu/course-stats/
via
https://courses.yale.edu/

specifically, for 752:

https://ivy.yale.edu/course-stats/course/courseDetail?termCode=201801&courseNumbers=CB%26B+752%2FCPSC+752%2FMB%26B+452%2FMB%26B+752%2FMB%26B+753%2FMB%26B+754%2FMCDB+452%2FMCDB+752%2FS%26DS+352&subjectCode=CB%26B

The Evolutionary Origin of Descending Testicles – The New York Times

August 17, 2018

https://www.nytimes.com/2018/06/29/science/descending-testicles-evolution.html

genome-wide starr-seq + sources of experimental bias

August 12, 2018

quite relevant
https://www.nature.com/articles/nmeth.4534

Resolving systematic errors in widely used enhancer activity assays in human cells

Felix Muerdter
, Łukasz M Boryń
, Ashley R Woodfin
, Christoph Neumayr
, Martina Rath
, Muhammad A Zabidi
, Michaela Pagani
, Vanja Haberle
, Tomáš Kazmar
, Rui R Catarino
, Katharina Schernhuber
, Cosmas D Arnold
& Alexander Stark

Nature Methods volume 15, pages141–149 (2018)

Dark DNA: The missing matter at the heart of nature | New Scientist

August 7, 2018

Dark DNA: The missing matter at the heart of nature
https://www.newscientist.com/article/mg23731680-200-dark-dna-the-missing-matter-at-the-heart-of-nature/ Nice discussion of the implications of difficult to sequence bits of the genome (eg highly GC rich regions)

Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder | Nature Neuroscience

July 27, 2018

Genome-wide prediction & functional characterization of the genetic basis of autism spectrum disorder, by @OlgaTroyanskaya lab
https://www.Nature.com/articles/nn.4353 Intersected candidate #ASD genes w/ #BrainSpan gene expression to find a pre-natal signal for the disease

Leveraging molecular QTL to understand the genetic architecture of diseases and complex traits | bioRxiv

July 11, 2018

https://www.biorxiv.org/content/early/2017/10/15/203380

Leveraging molecular QTL to understand the genetic architecture of diseases and complex traits

Farhad Hormozdiari, Steven Gazal, Bryce van de Geijn, Hilary Finucane, Chelsea J.-T. Ju, Po-Ru Loh, Armin Schoech, Yakir Reshef, Xuanyao Liu, Luke O’Connor, Alexander Gusev, Eleazar Eskin, Alkes Price
doi: https://doi.org/10.1101/203380