Incredible Android app for AR viewing of macromolecules http://CIRC.Rutgers.edu/new-dimension-poster-presentation Especially neat when pointed at another phone or tablet. Shows the molecule literally coming out of the screen HT @gamzeandgursoy
an app that might be interesting: When you look at the molecule pictures that are called triggers through this
app, it shows them three dimensional in different angles. You can even
create movie type augmented realities.
Reproducible inference of TF footprints in #ATACseq & DNase-seq…via protocol-specific bias modeling
https://www.BiorXiv.org/content/early/2018/03/19/284364 Systematic comparison of the 2 assay HT @gamzeandgursoy
Mapping the mouse Allelome reveals tissue-specific regulation of allelic expression https://eLifeSciences.org/articles/25125 More noncoding than coding #allelic activity. Also, finding windows of allelic activity for chromatin
Daniel Andergassen,
Christoph P Dotter,
Daniel Wenzel,
Verena Sigl,
Philipp C Bammer,
Markus Muckenhuber,
Daniela Mayer,
Tomasz M Kulinski,
Hans-Christian Theussl,
Josef M Penninger,
Christoph Bock,
Denise P Barlow ,
Florian M Pauler ,
Quanah J Hudson
Research Center for Molecular Medicine of the Austrian Academy of Sciences, Austria;
Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Austria;
Institute of Molecular Pathology, Austria
Could baby’s first bacteria take root before birth?
https://www.Nature.com/articles/d41586-018-00664-8 Interesting discussion of the controversy around detecting trace exogenous sequences in human tissues. Perhaps relevant to #exRNA?
Need to make a molecule? Ask this AI for instructions
http://www.nature.com/articles/d41586-018-03977-w #DeepLearning to do better #retrosynthesis. Perhaps other things in chemistry could be learned as well!
QT:{{”
“The tool, described in Nature on 28 March1, is not the first software to wield artificial intelligence (AI) instead of human skill and intuition. Yet chemists hail the development as a milestone, saying that it could speed up the process of drug discovery and make organic chemistry more efficient.
“What we have seen here is that this kind of artificial intelligence can capture this expert knowledge,” says Pablo Carbonell, who designs synthesis-predicting tools at the University of Manchester, UK, and was not involved in the work. He describes the effort as “a landmark paper”.”
“}}
41 East 78th St
Monday to Friday: 10am-7pm
Saturday: 11am-7pm
Sunday: 11am-6pm
https://www.ladym.com/boutiques
Fast, scalable prediction of deleterious #noncoding variants from functional & population genomic data
https://www.Nature.com/articles/ng.3810 LINSIGHT, by @ASiepel et al., combines DNAse & conservation information
Yi-Fei Huang, Brad Gulko & Adam Siepel
Nature Genetics 49, 618–624 (2017)
doi:10.1038/ng.3810
Published online:
13 March 2017
Interesting paper by alumnus Renqiang Min on “Video Generation from Text,” using a generative #MachineLearning model.
http://www.AAAI.org/GuideBook2018/16152-72279-GB.pdf (Press report by @SilverJacket: New algorithm can create movies from just a few snippets of text
http://www.ScienceMag.org/news/2018/02/new-algorithm-can-create-movies-just-few-snippets-text )
Video Generation from Text Yitong Li†∗, Martin Renqiang Min‡ , Dinghan Shen† , David Carlson† , Lawrence Carin† †
