Levy: Shows the balance between quality and density of reads. Shares @OlinkProteomics data across five 96-plex Olin… https://t.co/0vWIyozSoG

10:19am October 27th 2022 via Twitter Web App

Levy: Two workflows, one called 'Adept' where libraries are converted. Shows data on low background noise, low opti… https://t.co/7INeo7Z5DQ

10:16am October 27th 2022 via Twitter Web App

Levy: Two completely indep flowcells; 2B reads/run. $289K inst cost. $1080/120GB; $1680/240B. Q30 >90%. Shows nice… https://t.co/HTn5oBTc

10:15am October 27th 2022 via Twitter Web App

Levy: Rolling-circle ampl, bind avidite through mod polymerase, unique dye per base, image, remove avidite, then st… https://t.co/iDCWfvtBqR

10:12am October 27th 2022 via Twitter Web App

Levy: Improve on both dimensions - lower cost at the start. Shows how the innovation has been from first principles… https://t.co/7oBcFyv4xd

10:10am October 27th 2022 via Twitter Web App

Up early for an #ashg22 @ElemBio workshop with Shawn Levy (SVP of Applications, formerly of HudsonAlpha) Avidity se… https://t.co/HKyAprqMKs

10:08am October 27th 2022 via Twitter Web App

RT @ksuhre: Just updated the Table of all GWAS with #proteomics with eleven (!) #ASHG22 abstracts. Authors: please check that I quoted your…

8:20am October 27th 2022 via Twitter for iPhone

Nice to see friend Jim Brayer of @oxfordnanopore holding forth here at #ASHG22 about the glories of single molecule… https://t.co/x3A3zB3aFB

7:55pm October 26th 2022 via Twitter for iPhone

RT @AwadallaLab: @nickwfcheng is up presenting #ASHG22 his work showing that with our machine learning approaches can detect breast and oth…

2:35pm October 26th 2022 via Twitter Web App

Cheng: #ASHG22 Now did ML to ID early cancers. n=67 pre-dx breast cancers, n=59 matched controls. AUC 0.93, general… https://t.co/iCBH4Jg9Ve

2:32pm October 26th 2022 via Twitter Web App

Cheng: #ASHG22 Has samples from 2009, and 2019 measured breast, panc and prostate cancers. Used cfMeDIP-Seq. Shows… https://t.co/cFxMPgTbve

2:27pm October 26th 2022 via Twitter Web App

Cheng: #ASHG22 Developed ML model, problem is most blood is collected at time of Dx. Need to look in asymptomatic i… https://t.co/XygR2x1nAN

2:23pm October 26th 2022 via Twitter Web App

Cheng: #ASGH22 Global and focal changes in cancer methylomes occur early in tumor evolution; can be years before Dx… https://t.co/UJyM8IKs9e

2:21pm October 26th 2022 via Twitter Web App

Nicholas Cheng (Univ Toronto and Princess Margaret MC Canada) #ASHG22 Profiling pre-diagnosis plasma cell-free DNA… https://t.co/1BFc38DNAL

2:20pm October 26th 2022 via Twitter Web App

RT @OlinkProteomics: At this afternoon's 3:00pm-4:45 Poster Session #ASHG22, be sure to check out @taylorlawley's poster PB3176 - Using an…

2:17pm October 26th 2022 via Twitter Web App

Averting Alzheimer's as soon as possible Session at #ASHG22 Ben James (MIT/Broad) looks at snRNA and snATAC to caus… https://t.co/1dfSiLilVv

1:57pm October 26th 2022 via Twitter Web App

Craig: Took Germaine hets and ID spatial LOH, “spatially-driven aneuploidy”. Tool called tLOH, looked at ratios, co… https://t.co/MTBixRp1Ic

1:24pm October 26th 2022 via Twitter for iPhone

Craig: #ASHG22 Glioma has poor prognosis; heterogeneous mixture of cell types, area of hemorrhage, abnormal regions… https://t.co/4hAEiCNMSm

1:18pm October 26th 2022 via Twitter for iPhone

Craig: #ashg22 tSNE and UMAP images going into spatial data - unsupervised data shows overlapping spots. Not at sc… https://t.co/kONSnCBcq3

1:15pm October 26th 2022 via Twitter for iPhone

Cool to hear David Craig (Translational Genomics at USC / Keck) looking at spatial transcriptomics and genomics in… https://t.co/CvmwFFzdjA

1:11pm October 26th 2022 via Twitter for iPhone

Q: #ASHG22 Analytical workflow from Dr. Truong, could multiple cluster analysis be tried? Truong: Not automated; fe… https://t.co/6G01FiE51A

11:06am October 26th 2022 via Twitter Web App

Horvath: #ASHG22 50% of mouse transcripts changed between 1pm and 3pm (!) in brain. "People underestimate the noise in mRNA data"

11:03am October 26th 2022 via Twitter Web App

Q: Non-spec aging in different people - leverage other kinds of clocks - does methylation capture it? Horvath… https://t.co/Yn4QZyV27C

11:03am October 26th 2022 via Twitter Web App

Q: Measuring imputation of methylation vs genotypes? Horvath: #ASGH22 feels it is much more correlated than genotyp… https://t.co/qJ4VQYsPZD

11:00am October 26th 2022 via Twitter Web App

Q&A: Cross-species methylation clock? Horvath: here a presentation at #ASHG22 a 'universal mammalian clock'. High c… https://t.co/A6AlY9

10:58am October 26th 2022 via Twitter Web App

Great speaker lineup for the #ASHG22 @uk_biobank panel discussion. Alas not enough time to address questions! https://t.co/VaW8zyOWwQ

10:52am October 26th 2022 via Twitter for iPhone

Pancholi: #ASGH22 Platform credit programs: 1000GBP 'getting started credit', $500K/year for early career researche… https://t.co/wl99oHouWH

10:50am October 26th 2022 via Twitter Web App

Dr. Mahesh Pancholi (CIO UKB) #ASGH22 Analysing data in the UKB Research Analysis Platform (RAP). 25 petabytes of d… https://t.co/m1HEv4pFvN

10:48am October 26th 2022 via Twitter Web App

Dr. Mahesh Pancholi (CIO UKB) Analysing data in the UKB Research Analysis Platform (RAP). 25 petabytes of data ("al… https://t.co/xjWuUzjFMc

10:44am October 26th 2022 via Twitter Web App

Horvath: #ASHG22 Concl: "we need to carefully choose the measuring platform"; also sample type (blood and/or saliva).

10:43am October 26th 2022 via Twitter Web App

Horvath: #ASHG22 Cost a limitation of using the Illumina Methylation array; 'perhaps a smaller array would allow im… https://t.co/ndtSmORvLJ

10:42am October 26th 2022 via Twitter Web App

Dr. Steve Horvath (Altos Inst of Science) The case for methylation studies #ASHG22 An aspiration for methylation da… https://t.co/oTsoxGDjBE

10:38am October 26th 2022 via Twitter Web App

Cule: #ASHG22 Iron in the spleen in 40K from UKB, previously unstudied, GWAS implicates genes - see poster PB1268

10:35am October 26th 2022 via Twitter Web App

Cule: #ASHG22 Take adv of ML and precision phenotyping, and use genetic variation as a 'natural experiment' to char… https://t.co/pmYrjenmlK

10:34am October 26th 2022 via Twitter Web App

Dr. Madeleine Cule (Calico Labs) #ASHG22 "Precision phenotyping w/abdominal MRI in UKB" Calico: understand biology… https://t.co/idvQYlAh3W

10:31am October 26th 2022 via Twitter Web App

Truong: #ASHG22 Shows interesting Manhattan plot, replicated known signals for MDD, ID'd 6 new genomic regions, pur… https://t.co/TS5m5SyGcC

10:28am October 26th 2022 via Twitter Web App

Truong: #ASHG22 Clustered along top 50 features; genetic assoc'n; now reporting array (genotyping) data. 8 unique p… https://t.co/TPU3sh2gpx

10:26am October 26th 2022 via Twitter Web App

Dr. Dongnhu Truong (Janssen R&D) (Missed the title - about molecular psychiatry - MDD) MDD = major depressive disor… https://t.co/v7vKVD

10:25am October 26th 2022 via Twitter Web App

Black: #ASGH22 Points to data from this '22 review. https://t.co/itjjIZuLdg Concludes: genetic support, predict adv… https://t.co/an4vnI8R5I

10:23am October 26th 2022 via Twitter Web App

Black: #ASHG22 "a resource for accel innovation in early biotech" - 64% of 21 FDA approved druges were by early bio… https://t.co/Wk5xk6RBOL

10:22am October 26th 2022 via Twitter Web App

Black: #ASHG22 Last use-case - examine pt stratification (Predict benefit of evolocumab Rx in pts with artheroscler… https://t.co/55PerUbpwf

10:21am October 26th 2022 via Twitter Web App

Black: #ASHG22 Lists use-cases, one to ID novel drug targets (INHBE gene for obesity), predict target-assoc'd liabi… https://t.co/Jqt8ATESq7

10:19am October 26th 2022 via Twitter Web App

Mary Helen Black (Foresite) Leveraging UKB to enable precision medicine. Emphasize: its uniqueness, open-access pol… https://t.co/lNHarSIG2f

10:17am October 26th 2022 via Twitter Web App

7am Session: How the UK Biobank is enabling scientific discoveries in population health. Short presentations / Pane… https://t.co/J7fZAbhsFH

10:16am October 26th 2022 via Twitter Web App

Smith Gives a great rundown of advances from CE seq and microarray, through OGM and need for SV analyses. They are… https://t.co/ACP0jYBC4T

8:29pm October 25th 2022 via Twitter for iPhone

Smith: Shows a figure of a number of SVS not found via conventional cytogenetics ‘20 ref https://t.co/Szy0UpJfGS #ashg22

8:28pm October 25th 2022 via Twitter for iPhone

Adam Smith (Univ Toronto) How genome mapping technologies will change clinical cytogenetics practice. ELN AML Dx cl… https://t.co/mMBmkTiqmI

8:26pm October 25th 2022 via Twitter for iPhone

Kanagal-Shamanna 50% of SV’s not detected by conventional karyotyping, changed their clinical score. OGM “easy to i… https://t.co/SzYNuhVZ87

8:23pm October 25th 2022 via Twitter for iPhone

Rashmi Kanagal-Shamanna (MD Andersen Tx) Combining OGM w/targeted NGS in hematological malignancies. Shows a few ex… https://t.co/dm12kyo6ot

8:12pm October 25th 2022 via Twitter for iPhone

El-Khattabi: Shows 85/85 for 3 repeat expansion loci types by OGM. Interesting fig of technology coverage and SV si… https://t.co/iW0Tby2stW

8:03pm October 25th 2022 via Twitter for iPhone