October 2015

Xun #icg10 BGISEQ-500 ships Feb 15 2016, website is https://t.co/Px4JgB57cU

2:46am October 24th 2015 via Hootsuite

#icg10 Similar data for their cancer panel. Monogenic disease as well. https://t.co/HanpSbUq8c

2:44am October 24th 2015 via Hootsuite

#icg10 Gave a direct comparison to HiSeq2500 accuracy, alas too quick to snap a photo. Side-by-side comparison to BGISEQ-1000 is 100% n=2036

2:42am October 24th 2015 via Hootsuite

RT @bentpetersen: The Chinese person next to me just spitted at the floor. I am amazed sometimes... #ICG10

2:38am October 24th 2015 via Hootsuite

#icg10 Looks like the DNB can run forward and reverse. Remarkable sensor specs. https://t.co/iK0YEouraS

2:38am October 24th 2015 via Hootsuite

RT @bentpetersen: #BGISEQ500 40-200GB, 2 whole genomes or 2 clinical exomes, 100ng #DNA needed #ICG10 https://t.co/4UotyYJMDO

2:37am October 24th 2015 via Hootsuite

#icg10 Here’s a nice spec chart that I need to break out later. Now explains nanoball tech. https://t.co/kweNycXLdd

2:36am October 24th 2015 via Hootsuite

#icg10 In 60s, 660MB, 15min analysis (?) 24h from DNA to data. Two types of flow cell, FCL, FCD; 16 modes (apps)

2:33am October 24th 2015 via Hootsuite

#icg10 Two flow cells. Q30>85% accuracy. 35m hands-on time. https://t.co/NawniSixaZ

2:31am October 24th 2015 via Hootsuite

#icg10 No translator for me either. :( The BGISEQ-500 is for the Chinese market... https://t.co/1Ld9fuJwPX

2:29am October 24th 2015 via Hootsuite

#icg10 40K WGS, 85K WES via BGI, and 740K NIFTY NIPT.

2:27am October 24th 2015 via Hootsuite

RT @bentpetersen: The #revolocity flow cell is the largest array ever developed #ICG10 https://t.co/DzrdIPYg1L

2:25am October 24th 2015 via Hootsuite

RT @GigaScience: SY: Revolocity system multiple liquid handlers mean you can handle exomes & WGS at the same time. Foot square flow cell

2:24am October 24th 2015 via Hootsuite

RT @bentpetersen: #revolocity generates 28 bp Mate-Pair reads with an average distance of 375 bp #ICG10 https://t.co/hmZVZ162eA

2:24am October 24th 2015 via Hootsuite

Yokoda #icg10 98% of the coding regions at >20x. Scalable at 10K/year; can grow in 10K increments to 30K.

2:24am October 24th 2015 via Hootsuite

Yokoda #icg10 CNV is based on read-depth alg. Mate-pair distance of 375bp. (Hmmm, more like a paired-end...)

2:22am October 24th 2015 via Hootsuite

Yokoda #icg10 Flow cell is about 12 inches on a side, video of robot handling them https://t.co/37wh2qq18n

2:21am October 24th 2015 via Hootsuite

Yokoda #icg10 Shows video of system in motion. Also lays out parts. https://t.co/Zj45kjlmTw

2:19am October 24th 2015 via Hootsuite

Yokoda #ngs10 Revolocity takes up 1500sf; sample to SNV, CNV, SV. Full integration incl workflow management. https://t.co/YL2ZKi3rqW

2:15am October 24th 2015 via Hootsuite

Yokoda #ngs10 Sample-to-data; not just reads, but interpretation-ready data. So fully integrated, automated, easy-to-use, flexible

2:12am October 24th 2015 via Hootsuite

Yokoda #icg10 CGI has delivered about 20K WGS; has sponsored 20 clinical utility studies. ‘The first supersequencer’

2:09am October 24th 2015 via Hootsuite

Suzanne Yokoda from Complete Genomics, VP of Marketing, introducing Revolocity at #icg10 https://t.co/fY8yVdrOxq

2:07am October 24th 2015 via Hootsuite

At #icg10 a launch ceremony for the BGISEQ-500; the president of BGI acknowledges Maynard Olson. https://t.co/LEC51K9iRC

2:03am October 24th 2015 via Hootsuite

RT @GigaScience: BG: @openSNPorg allowing crowdsourced genotypes & phenotypes - let people define these themselves. Even political orien

12:36am October 24th 2015 via Hootsuite

Greshake #icg10 Asks for support via Patreon, it’s a side-project for people with day jobs. Not assoc’d with any Univ. or Research org

12:35am October 24th 2015 via Hootsuite

Greshake #icg10 Ancestry is a use-case; relatedness to King RIII (they have 3). Can do privacy research - pub Humbert 2015

12:33am October 24th 2015 via Hootsuite

Greshake #icg10 Access is made convenient - via Json, XML or R. Nice growth, 2300 people are sharing.

12:30am October 24th 2015 via Hootsuite

RT @GigaScience: .@gedankenstuecke truly believes with #opendata the next breakthrough in genomics could come from a 15-year old kid from E…

12:28am October 24th 2015 via Hootsuite

Greshake #icg10 Also crowd-sourced phenotypes. People create their own; whatever of interest to you.

12:28am October 24th 2015 via Hootsuite

Greshake #icg10 Run and funded by the crowd. Data in the public domain. Crowd-sourced genotypes. Links out to SNPedia.

12:26am October 24th 2015 via Hootsuite

Greshake #icg10 Why not rapid prototyping of hypotheses, like we do w/3D printing? PGP, Open Humans, openSNP.

12:25am October 24th 2015 via Hootsuite

Greshake #icg10 His microbiome data; many crowd-sourced studies. But 23andme doesn’t give access, it sells it. https://t.co/qG2a8pE6PU

12:23am October 24th 2015 via Hootsuite

Greshake #icg10 Mainstreaming of genetic testing - available even on Amazon. Shows 23andme results for his own genome.

12:20am October 24th 2015 via Hootsuite

Bastian Greshake @gedankenstuecke (Univ Frankfurt) Transforming ‘Direct-to-consumer’ to ‘Direct-to-crowd’ Genetic Testing #icg10

12:18am October 24th 2015 via Hootsuite

RT @GigaScience: .@glyn_dk going through long drawn out process of finding data you need. Paywalls. Sifting supplementary material. No acce…

12:06am October 24th 2015 via Hootsuite

Gravina #icg10 Comparison of old and young mouse liver: transposons show instability in aging.

11:47pm October 23rd 2015 via Hootsuite

Gravina #icg10 For genome-wide methylome, always in comparison to bulk cells. Mouse fibroblasts and liver; data shows single cells compare

11:45pm October 23rd 2015 via Hootsuite

Gravina #icg10 Then use EpiTyper. Shows data from Nrf2 promoter, Gravina NAR 2015 https://t.co/g1eoUtG2Dp

11:43pm October 23rd 2015 via Hootsuite

Gravina #icg10 Method: Bisulphite treatment, but is harsh, esp w/only 6pg. Lyse, denature, convert. Locus-spec: WGA then conversion-spec PCR

11:40pm October 23rd 2015 via Hootsuite

Gravina #icg10 Mwthylation changes during aging; but stochastic noise a big problem. Is heterogeneity a driver for aging?

11:38pm October 23rd 2015 via Hootsuite

Sylvia Gravina (Albert Einstein NY) Aging and the single-cell methylome #icg10

11:37pm October 23rd 2015 via Hootsuite

Lu #icg10 Explains fn of MDM2 and its inhibitor, perhaps inhibited by something else regulating p53, called ASPP1/2/3.

11:30pm October 23rd 2015 via Hootsuite

Lu #icg10 Plasticity illustrated ‘beautifully’ by iPSC reprogramming. P53 a gatekeeper; to sensitize cells for killing.

11:27pm October 23rd 2015 via Hootsuite

Xin Lu (Oxford) #icg10 Single cell biology to study cellular heterogeneity in oesophageal cancer

11:25pm October 23rd 2015 via Hootsuite

Dean #icg10 Acknowledged sequencing done by BGI.

11:19pm October 23rd 2015 via Hootsuite

Dean #icg10 Second GBM sample has subset of cells with chromothripsis (shattering).

11:16pm October 23rd 2015 via Hootsuite

Dean #icg10 Now onto CNV’s in two individuals with GBM. Four tumors in the same tissue. https://t.co/LDne6ySnwR

11:15pm October 23rd 2015 via Hootsuite