RT @NatureNews: Filling in the story of Europe's first humans: http://t.co/63jArQrktI http://t.co/QE6Do4Mcy0
9:15am June 25th 2015 via Hootsuite
RT @engadget: The road to Mars: @NASA's next 30 years http://t.co/mrLXqDKh1r http://t.co/rcOOjHjFWN
8:05am June 25th 2015 via Hootsuite
These hackers warned the Internet would become a security disaster. Nobody listened. | The Washington Post http://t.co/vYYnNOfihF
7:50am June 25th 2015 via Hootsuite
Urban microbes come out of the shadows : Nature News http://t.co/r13g45iXV1
6:10am June 25th 2015 via Hootsuite
It gets worse: Federal OPM hack affected up to 18 million | ZDNet http://t.co/N02bzFsagM
4:45am June 25th 2015 via Hootsuite
RT @gizmag: Reactivation of single gene turns colorectal cancer cells back into normal tissue http://t.co/9vMfAgwjcj http://t.co/iRxNsMxwqx
11:25pm June 24th 2015 via Hootsuite
Social Media in Medicine | Intl Rev Psych http://t.co/mB3bLjsV0d HT @scepticscalpel
10:15pm June 24th 2015 via Hootsuite
RT @NYTScience: The Mental Health Issue: Can the Bacteria in Your Gut Explain Your Mood? http://t.co/zAEkH6Y9uo
9:20pm June 24th 2015 via Hootsuite
Holland: Ordered by survival, a K-M plot. PCA, markers in pts, and then drilling down on sub-groups #TCGC15
7:24pm June 24th 2015 via Hootsuite
Holland: The data is 'gargantuan'. Web-based demo given. A timeline of 500 pts w/glioma. Date from Dx to radiation, etc. #TCGC15
7:19pm June 24th 2015 via Hootsuite
Holland: Other piece was data visualization: Oncoscape, interacting between the other two pieces. An 'experimental sandbox' #TCGC15
7:15pm June 24th 2015 via Hootsuite
Holland: Blending molecular and other data together: 30-40 datasets brought together. HIDRA the db, ARGOS the clin actionable data #TCGC15
Eric Holland (Fred Hutchinson Cancer) "The Oncoscape Application in Cancer Big-Data Analytics" #TCGC15
7:13pm June 24th 2015 via Hootsuite
Nickles:Q:Any elderly twins? A:Yes, the genes ID'd so far have come from these studies. Effect of env + genetics time-dependent #TCGC15
7:09pm June 24th 2015 via Hootsuite
Nickles: 4 nsSNV's play role in protein trafficking. Checking against OMIM and ClinVar and GWAS catalog: no higher genetic fitness #TCGC15
7:07pm June 24th 2015 via Hootsuite
RT @humanlongevity: .@HumanLongevity Announces Research Fellow Program http://t.co/HvJPyYLIyV - applications due Sep 1 http://t.co/V6yCpRxF…
6:56pm June 24th 2015 via Twitter Web Client
Nickles: Had allele freq information from Scripps' Wellderly study. Normals were from Complete Genomics. #TCGC15
6:55pm June 24th 2015 via Hootsuite
Nickles: APO4E: both individs were het, yet high cognitive function. Several measures of cognition well above average. #TCGC15
6:54pm June 24th 2015 via Hootsuite
Nickles: Clarification: cognitive ability 50% genetics, longevity 30%. 2 Supercentenarians studies, many var's yet to be discovered #TCGC15
6:52pm June 24th 2015 via Hootsuite
Nickles: This work recently published ref: http://t.co/OAewI8IkvA Genetic factors of aging - '50%, only a fx of genes known' #TCGC15
6:50pm June 24th 2015 via Hootsuite
Dorothee Nickles (Genentech) "Whole-Genome Sequences of Two Octogenarians with Sustained Cognitive Abilities" #TCGC15
6:49pm June 24th 2015 via Hootsuite
Zaitlen:Q:Could bacterial sequence be cell-free DNA instead? A:Could be. #TCGC15
6:18pm June 24th 2015 via Hootsuite
Zaitlen:Q:Account for RNA editing? A:Yes, had to have 3 SNPs in the RNA that needed to correlate #TCGC15
6:16pm June 24th 2015 via Hootsuite
MT @FrontLineLaura: Check out this great shot that Peter Miller snapped. #GenomicsFest @geochurch @JCVenter http://t.co/eoN2xnm3Jm
6:15pm June 24th 2015 via Hootsuite
Zaitlen: Finding microbial reads in these unmapped reads with interesting implications #TCGC15
6:14pm June 24th 2015 via Hootsuite
Zaitlen: Onto unmapped reads: called 'dumpster diving'. Taking one sample - 75M PE RNA-Seq reads, 93% mapping, Expensive analysis 7% #TCGC15
6:09pm June 24th 2015 via Hootsuite
Zaitlen: Pr Ca antigen imprinted. Recent work '15 Genome Res http://t.co/RPQxN4lYlW Next steps is 8500 GTEx samples #TCGC15
6:01pm June 24th 2015 via Hootsuite
Zaitlen: Describes GTEx, 175 post-mortem donors x 1-30 tissues = 1658 samples. ID 47 genes at 28 loci. 29 previously known #TCGC15
5:53pm June 24th 2015 via Hootsuite
Zaitlen: Alllele-specific expression (ASE) datasets: GTEx pilot, GEUVADIS http://t.co/Qe7oCGB8FH Gencord http://t.co/xko8pOxKrw #TCGC15
5:49pm June 24th 2015 via Hootsuite
Zaitlen: Reviews imprinting: only about 100 genes in mammals. Evolutionary cause unknown; role in both common and rare disease #TCGC15
5:46pm June 24th 2015 via Hootsuite
Noah Zaitlen (UCSF) "Assessing Allele-Specific Expression across Multiple Tissues from RNA-Seq Read Data" #TCGC15
5:44pm June 24th 2015 via Hootsuite
RT @humanlongevity: .@HumanLongevity & @ClevelandClinic Establish Broad Collaboration in Human Genomics - Initial focus on GeneBank stud
5:40pm June 24th 2015 via Twitter Web Client
RT @VibrantGene: Catherine Brownstein: we double our knowledge of genes every 18 mo. Impt to revisit cases. #GenomicsFest
5:22pm June 24th 2015 via Hootsuite
Zheng: Beijing's CapitalBio working on infectious disease (TB, Mycobacteria). Progressing to genetic disease #TCGC15
5:18pm June 24th 2015 via Hootsuite
Zheng: Newborn screening (NOVA), and pre-conception counseling (VISTA) w/carrier screening, PGS (preimplantation genetic screen) #TCGC15
5:17pm June 24th 2015 via Hootsuite
Zheng: China's prenatal screening (NIFTY) at BGI-Shenzhen; also cancer screening (called SENTIS) #TCGC15
5:16pm June 24th 2015 via Hootsuite
Bill Zheng (Southern Medical University, China) "Potential Clinical Genomics Applications in China" #TCGC15
5:13pm June 24th 2015 via Hootsuite
Zia:Q:Is the cloud inherently secure or insecure? A:Insecure. Went with Microsoft b/c they take the liability of any security flaw #TCGC15
5:09pm June 24th 2015 via Hootsuite
Zia: Mentions Snyder's integrative Personal Omics Project (iPOP) adding wearables http://t.co/PMg3aSPOPO #TCGC15
5:08pm June 24th 2015 via Hootsuite
Zia: For the MVP, they are using Google Genomics' API (will be published soon). Uses best-practice GATK, Able to do nice analysis #TCGC15
5:04pm June 24th 2015 via Hootsuite
Zia: For their data pipeline - they use a tool Docker (open-source) to build, test, deploy and run apps in a controlled way #TCGC15
4:58pm June 24th 2015 via Hootsuite
Zia: His background is hardware engineering: but compression ratio comes at the cost of accuracy. Cannot do interactive BAMs now. #TCGC15
4:55pm June 24th 2015 via Hootsuite
Zia: At Stanford, Clinical Genomics service - need to look at BAMs post-mapping QC. Need bi-dir access to original data 'on the fly' #TCGC15
4:50pm June 24th 2015 via Hootsuite
Zia: What about TGP? 1M veterans genomes? At OICR, involved with ICGC, compared 30 tools, looked at BAMs many times. Noisy data #TCGC15
4:49pm June 24th 2015 via Hootsuite
Zia: Using their fastest network, downloading 85G-base NA12878: 2h down, 20h up w/CRAM. Analysis is 5min/G-base #TCGC15
4:47pm June 24th 2015 via Hootsuite
Zia: Stanford also has a Clinical Genomics service: @euanashley, Jason Merker. Zia is involved with Million Veterans Project #TCGC15
4:46pm June 24th 2015 via Hootsuite
Zia: Stanford center for genomics and personalized medicine: Mike Snyder, Stephen Galli, Somalee Datta. Informatics team 10 strong #TCGC15
4:41pm June 24th 2015 via Hootsuite
Amin Zia (Stanford Univ) "Big data for big science" #TCGC15
4:39pm June 24th 2015 via Hootsuite
RT @RxCDx: Seth Sadis, Thermo-Fisher: supports the earlier statements by Illumina. Core NGS panels are the future of CDx #GenomicsFest
2:53pm June 24th 2015 via Hootsuite
RT @kennamshaw: Seth Sadis from life tech discussing vision for IVD using iontorrent NGS system as inspiration #GenomicsFest
2:52pm June 24th 2015 via Hootsuite
