Posts Tagged ‘x57l’

My public notes from #RSGDream17, #ERCC9 and other misc. events in late Nov. ’17 (i0isg,i0rsg17,i0exrna17)

November 21, 2017

Links

https://linkstream2.gerstein.info/tag/i0rsg17

Tweets

https://storify.com/markgerstein/favorite-tweets-from-late-nov-17-meetings-ercc9-rs

Talks

http://lectures.gersteinlab.org/summary/Genomics-n-DataSci–20171108-i0isg/

More “Private” Notes

http://meetings.gersteinlab.org/2017/11.19/i0rsg17+i0exrna17/ http://meetings.gersteinlab.org/2017/11.12/i0isg-slides-green-talk/

Genome Informatics meeting

November 5, 2017

LINKS

https://linkstream2.gerstein.info/tag/i0gi2017/

TWEETS

https://storify.com/markgerstein/favorite-tweets-from-genome-informatics-17-gi2017-

TALK

http://lectures.gersteinlab.org/summary/Mutations-in-2500-cancer-genomes–20171104-i0gi2017/

OTHER materials (passwd access) in
http://meetings.gersteinlab.org/2017/10.28/i0gi2017/

Google’s New Super-Secure Email Is Designed For High-Profile Targets. Would It Have Protected Hillary’s Campaign?

October 28, 2017

QT:{{"

“The Advanced Protection Program incorporates a physical security key (a small USB or wireless device that costs around $25) to protect against phishing. The key, which participants need to buy themselves, uses public-key cryptography and digital signatures. Without the key, even someone with your password would be unable to access your account. Advanced Protection limits your Google data access to only Google apps and adds additional safeguards in the account recovery process to prevent someone from social engineering their way into your account. It also performs additional scans on files and attachments to ensure no malware is piggybacking on the download.”
"}}

#Google’s New Super-Secure Email Is Designed For High-Profile Targets http://www.Slate.com/blogs/future_tense/2017/10/17/google_introduces_super_secure_email_to_prevent_high_profile_hacks_could.html Appears to be open to all. Anyone tried this?

Genome Informatics meeting

October 28, 2017

materials in http://meetings.gersteinlab.org/2017/10.28/i0gi2017/

Visualizing the molecular sociology at the HeLa cell nuclear periphery | Science

October 26, 2017

http://science.sciencemag.org/content/351/6276/969.long

#Visualizing the molecular sociology [of complexes] at the HeLa cell nuclear periphery, w/ #CryoET at 10 Ang. res. http://science.ScienceMag.org/content/351/6276/969.long

Science. 2016 Feb 26;351(6276):969-72. doi: 10.1126/science.aad8857.
Visualizing the molecular sociology at the HeLa cell nuclear periphery.
Mahamid J1, Pfeffer S2, Schaffer M2, Villa E3, Danev R2, Cuellar LK2, Förster F2, Hyman AA4, Plitzko JM2, Baumeister W1.

Variant impact prediction methods | Critical Assessment of Genome Interpretation

October 21, 2017

https://genomeinterpretation.org/impact

Each name is scaled according to the logarithm of the number of citations. Colors are randomly assigned.

My public notes from #ASHG17 & its Satellites (#GenoPri17, #GA4GH2017, #HGVS17, idash, i0hgvs)

October 21, 2017

Links

https://linkstream2.gerstein.info/tag/i0hgvs

Tweets

https://storify.com/markgerstein/favorite-tweets-from-ashg17-ga4gh2017-genopri17-hg

Talks

http://lectures.gersteinlab.org/summary/Mutations-in-2500-cancer-genomes–20171018-i0hgvs+ashg/

http://lectures.gersteinlab.org/summary/Prioritizing-somatic-variants–20171017-i0hgvs+main/

http://lectures.gersteinlab.org/summary/Genomic-Privacy-n-RNAseq-Quantifying-Leakage–20171014-i0hgvs+idash/

Pics

https://www.flickr.com/photos/tags/seriesi0hgvs

KanbanFlow – Lean project management. Simplified.

October 21, 2017

https://kanbanflow.com/

German activities on RNA privacy

October 21, 2017

http://www.mhumbert.com/publications/oakland17.pdf

Identifying Personal DNA Methylation Profiles by Genotype Inference

Michael Backes⇤, Pascal Berrang⇤, Matthias Bieg†, Roland Eils†‡, Carl Herrmann†‡, Mathias Humbert⇤, Irina Lehmann§

Re-Identification of Individuals in Genomic Data-Sharing Beacons via Allele Inference | bioRxiv

October 21, 2017

https://www.biorxiv.org/content/early/2017/10/09/200147
higher order markov to predict snps