Turner #icg10 Non-SNP variation: accounts for 22% of all events. Pang 2014 G3 Journal Scherer went back to 2nd gen data and compared
5:07am October 25th 2015 via Hootsuite
Turner #icg10 Compared to even 10X Genomics over same region: no data. SHANK3 is 83% G/C
5:04am October 25th 2015 via Hootsuite
Turner #icg10 Able to do palindromes, impossible when template amplified.
5:01am October 25th 2015 via Hootsuite
Turner #icg10 10-100x times more accurate than other systems (due to consensus). >99.999%, with a lack of bias
5:00am October 25th 2015 via Hootsuite
Turner #icg10 Latest chemistry is P6-C4. Have seen longest read internally at 100KB. 10K ave RL does have ones go out to 60kb
4:58am October 25th 2015 via Hootsuite
Turner #icg10 Integrated workflow management, multi-inst control an option. Onto data (on RS) but applies to Sequel
4:56am October 25th 2015 via Hootsuite
Turner #icg10 RL: about the same, ave 10kb. QV50 qual, 5-10GB per cell. 1-16 cells/run, 30m-6h movie lengths
4:55am October 25th 2015 via Hootsuite
Turner #icg10 Sequel offers scale. Still SMRT, phospho-linked chemistry. 1M ZMWs, time to result faster, less expensive to buy and run
4:54am October 25th 2015 via Hootsuite
Stephen Turner (PacBio) The most comprehensive view of genomes, epigenomes and transcriptomes #icg10
4:52am October 25th 2015 via Hootsuite
Drmanac #icg10 Working on ‘single-tube LFR’; assembly of perfect WGS de novo. Perhaps nex year. ‘The ultimate genetic test’
4:09am October 25th 2015 via Hootsuite
Drmanac #icg10 Onto CTC seq: from 5 cCTCs, zero FP errors. Found several CNVs common to cells.
4:06am October 25th 2015 via Hootsuite
Drmanac #icg10 Reviews their prior work with LFR, took 10 cells from trophectoderm, found 87/94 de novo SNVs shared between two sep biopsies
4:04am October 25th 2015 via Hootsuite
Radoje Drmanac (Complete Genomics) Advanced massively parallel sequencing: improving disease prevention and treatment #icg10
4:02am October 25th 2015 via Hootsuite
#icg10 Nick Zhang says that their GeneReader NGS will be coming Dec 2015. (No word at #ashg15 - so take with grain of salt)
3:54am October 25th 2015 via Hootsuite
Siu #icg10 Costs drop to a few hundred $: what happens? At Decode in ‘07 it was $1K; Navigenics; then 23andMe. When $99, sig adoption
2:51am October 25th 2015 via Hootsuite
Daniel Su (BGI) Rapid reduction in NGS cost enables widespread adoption for clinical and personal genomics applications #icg10
2:48am October 25th 2015 via Hootsuite
Zagulski #icg10 https://t.co/g2qMI1SOJe movie shown; started in ‘08 now market cap 1.2M Euro 5y goal is $3K WGS. Rec’d EU support.
2:37am October 25th 2015 via Hootsuite
Marek Zagulski (Genomed SA Poland) Personal genomics as the only future for WGS #icg10
2:29am October 25th 2015 via Hootsuite
Ring #icg10 Behind it all is Big Data, 4P’s
2:27am October 25th 2015 via Hootsuite
Ring #icg10 Woking w/insurance, hospitals, Internet portals. 30B ¥ set-aside for provincial services country-wide
Ring #icg10 3rd tier genetic screening - early detection, diagnosis, intervention.
2:24am October 25th 2015 via Hootsuite
Ring #icg10 Under Nat’l Min Health, with expert panels. Newborn screening for hearing loss, also carrier screening
2:22am October 25th 2015 via Hootsuite
Ring #icg10 3.1M new cancer cases/y in China, 20% of WW. Was at Incyte, then launched DNADirect DTC genetic service. Now iDNA for China
2:20am October 25th 2015 via Hootsuite
Huijun Zhou Ring https://t.co/KDtxNL80CM Newborn genetic screening and preventative healthcare. #icg10
2:18am October 25th 2015 via Hootsuite
Wallace #icg10 Hypothesis: ‘Mitochondria as Qi’ Ox. of H in the mit. shown, a ‘capacitor’ 10^17 x 0.2V in a person https://t.co/OVRjMROVgk
9:13pm October 24th 2015 via Hootsuite
Wallace #icg10 The difference between alive and dead isn’t anatomy, it’s energy. Lists common diseases - we understand them the least.
9:09pm October 24th 2015 via Hootsuite
Douglas Wallace (CHOP, PA) #icg10 A mitochondrial etiology of the common ‘complex’ diseases
9:08pm October 24th 2015 via Hootsuite
New Post: BGISEQ-500 at #ICG10 | Next Generation Techonlogist https://t.co/aWJYmAqJfE
8:36pm October 24th 2015 via WP to TWTR on Yuzuki.org
New Post: BGISEQ-500 at #ICG10 | Next Generation Techonlogist
8:29pm October 24th 2015 via WP to TWTR on Yuzuki.org
RT @evolvability: Fascinating resource to explore failed #startups and what went wrong: https://t.co/xyh95AP5dB #tech #biotech HT @tomrapko
6:45pm October 24th 2015 via Hootsuite in reply to evolvability
These researchers have discovered the perfect password that’s also easy to remember - The Washington Post https://t.co/TuJKdGteJ7
6:10pm October 24th 2015 via Hootsuite
RT @BauhiniaGenome: Irene & Scott with a sneak preview of @BauhiniaGenome at #ICG10. Slides here: https://t.co/cMe8nbNV14 #HKgenome http
5:50pm October 24th 2015 via Hootsuite
RT @coletrapnell: Why I think single-cell genomics is such a game changer: https://t.co/09nzyd9zcE
5:40pm October 24th 2015 via Hootsuite in reply to coletrapnell
RT @FASEBopa: FASEB set to develop strategies for enhancing reproducibility https://t.co/b77QMycDNp
3:35pm October 24th 2015 via Hootsuite in reply to FASEBopa
RT @drbachinsky: Approved But Not Proven: What’s Up With FDA, Cancer Drugs? https://t.co/3zcOU1uX7X
1:35pm October 24th 2015 via Hootsuite in reply to drbachinsky
RT @EricTopol: Move over Thomas Edison, a man with more patents, many medical https://t.co/s2UMtHwZqG by @valleyhack https://t.co/kxusZ4HKV9
12:31pm October 24th 2015 via Hootsuite in reply to EricTopol
RT @DrKhouryCDC: Genotypes without Disease: Your DNA is not a Diagnosis. Via @GIMJournal https://t.co/hndwoxgPMl https://t.co/ebxbmZwVLu
11:35am October 24th 2015 via Hootsuite in reply to DrKhouryCDC
RT @NatureNews: Most popular this week: Why are scientists moving to @Google? https://t.co/bT18dWH5E3 https://t.co/gopQFzjNmD
9:31am October 24th 2015 via Hootsuite in reply to NatureNews
RT @NatureNews: Backlash after Frontiers journals added to list of questionable publishers https://t.co/ayqOOYpPgW https://t.co/Czd5tNwNEB
8:31am October 24th 2015 via Hootsuite in reply to NatureNews
RT @BioMickWatson: The rumen microbial metagenome associated with high methane production in cattle https://t.co/Q2U2XQMVSE
6:25am October 24th 2015 via Hootsuite in reply to BioMickWatson
Brown #icg10 Also fusion RNA reference material being developed, FFPE-fixed at low positive levels.
3:30am October 24th 2015 via Hootsuite
Brown #icg10 Have an aneuploidy control, showed data. Linearity and euploid panels. Developing ctDNA reference material.
3:29am October 24th 2015 via Hootsuite
Brown #icg10 Shows three lots at 20% frequency, and one after freeze-thaw; NGS data highly concordant.
3:23am October 24th 2015 via Hootsuite
Brown #icg10 Describes the Seraseq Mutation Mix as a biosynthetic blend of 26 hotspot mutations at a range of frequencies, 20% down to 1%
3:22am October 24th 2015 via Hootsuite
Brown #icg10 Trust but verify when implementing a test. Ground truth reference materials - uniform, quantitative, commutable, widely avail.
3:19am October 24th 2015 via Hootsuite
Trevor Brown (@SeraCare) #icg10 Precision medicine is all about the Patient. https://t.co/h8xoPdFpPY
3:16am October 24th 2015 via Hootsuite
@bentpetersen Hi Bent, would enjoy meeting you if you are still around (I have to stay until the SeraCare talk since it’s my employer..)
3:05am October 24th 2015 via Hootsuite in reply to bentpetersen
Fang #icg10 100 tools, 30 pipelines, CWL and SDK for dev work.
2:57am October 24th 2015 via Hootsuite
Fang #icg10 Appliance is cross-platform; BGI has already implemented cloud computing analysis with Aliyun
2:55am October 24th 2015 via Hootsuite
Fang #icg10 BGI Online is a private cloud appliance for population freq, with security, knowledge-base built-in. 1U format, 1.2TB SSD
2:52am October 24th 2015 via Hootsuite