Messina: Talk about the team most; the market next; then a little about the product 'in any real detail'. #genomicsfest
2:08pm October 4th 2017 via Hootsuite
Messina: "Pitch your grandma" - be able to talk about what you are doing in plain and simple language #genomicsfest
2:06pm October 4th 2017 via Hootsuite
Messina: Y-combinator only gives you 10 minutes. If they don't 'get it at the beginning', well you waste a lot of time #genomicsfest
Messina: Talking to investors: get to the point 'right away'; put all the good stuff up-front. #genomicsfest
2:05pm October 4th 2017 via Hootsuite
Messina: Crowdfunding is non-dilutive, but difficult to do. Cofactor bootstrapped by friends and family at the beginning #genomicsfest
2:03pm October 4th 2017 via Hootsuite
Messina: VCs and institutional investors are $500K and up; don't be afraid to ask. Book rec: https://t.co/cdE3KPhB3d #genomicsfest
1:59pm October 4th 2017 via Hootsuite
Messina: Sources: friends and family. Limited amts, need to sign a contract; Angel investors; VCs #genomicsfest
1:57pm October 4th 2017 via Hootsuite
Messina: Series A, $20M led by Y-combinator and Stanford. Will talk about different funding sources, how to talk to investors #genomicsfest
1:54pm October 4th 2017 via Hootsuite
Messina: One of the first CLIA labs in the country for RNA assays. Paragon assay is their immune resp in tumor microenv #genomicsfest
1:53pm October 4th 2017 via Hootsuite
Dave Messina (Cofactor Genomics): How to fund your biotech startup #genomicsfest
1:52pm October 4th 2017 via Hootsuite
Slater: Expect ROI payoff in 1-2y; 'time to begin experimentation is now'. (This from an HPC provider, of course...) #genomicsfest
1:48pm October 4th 2017 via Hootsuite
Slater: Training time to best accuracy is currently 5d; in 2-5y, 2h. Hardware is 25GFlops now; expect TFlops. #genomicsfest
1:47pm October 4th 2017 via Hootsuite
Slater: (More information about the CANDLE project here:) https://t.co/oNN3DL8yWx #genomicsfest
1:46pm October 4th 2017 via Hootsuite
Slater: Large project - CANDLE for exascle deep learning - Ras pathway, prediction of drug response, Argonne Nat'l Lab #genomicsfest
1:44pm October 4th 2017 via Hootsuite
Slater: "HPC and AI will converge" - Gartner quote - 'AI and ML have reached a critical tipping point...' #genomicsfest
1:42pm October 4th 2017 via Hootsuite
Slater: Behind the scenes, it's about model training and model testing. More data run through models #genomicsfest
1:41pm October 4th 2017 via Hootsuite
Slater: Shows workflow chart of DL in prod: Training/Inferencing/Model Mgmt. Data preparation is a key bottleneck. #genomicsfest
1:36pm October 4th 2017 via Hootsuite
Slater: NVIDIA person quote "Deep learning in healthcare is the leading industrial application of AI" #genomicsfest
1:35pm October 4th 2017 via Hootsuite
Slater: Other trends - compute power, adv algorithms, data science expertise. In life sciences: diagnosis, pt stratification #genomicsfest
1:34pm October 4th 2017 via Hootsuite
Slater: Shows a History of DL slide; electronic brain in 1940; Perceptron in 1957; ADALINE '60. Why DL now? So much data avail #genomicsfest
1:32pm October 4th 2017 via Hootsuite
Slater: ML predict, act and adapt. Deep learning is a subset, training and using nural networks as a predictive model #genomicsfest
1:31pm October 4th 2017 via Hootsuite
Slater: Analytics vs Machine Learning (ML): statistics create a model of the world. Take data, run model, reiterate in ML #genomicsfest
1:30pm October 4th 2017 via Hootsuite
Slater: Defined: AI has been around for a while; 'just using a computer to simulate an intellectual task' #genomicsfest
1:28pm October 4th 2017 via Hootsuite
Ted Slater (Cray) The what, how and why of deep learning in the life sciences #genomicsfest Asks for show of hands who is using DL
1:27pm October 4th 2017 via Hootsuite
LaFranzo: Still in development but looks like a promising approach; look at TMB from RNA-seq data from FFPE. #genomicsfest
12:27pm October 4th 2017 via Hootsuite
LaFranzo: Tumor Mut Burden (TMB) for neoantigenicity; matched/normal; now via RNA data, can select genes and provide estimate #genomicsfest
12:26pm October 4th 2017 via Hootsuite
LaFranzo: Shows mixtures of RNAs and degradation experimental data. Also IHC comparison as Hi/Med/Lo quant of markers #genomicsfest
12:25pm October 4th 2017 via Hootsuite
LaFranzo: Lab has databases of immune cell profiling; an RNA fingerprint to deconvolve the mixture of cells in TME #genomicsfest
12:22pm October 4th 2017 via Hootsuite
LaFranzo: For tumor microenv (TME): define Pt populations for targeted Rx; cand ID new prognostic, diagnostic markers #genomicsfest
12:19pm October 4th 2017 via Hootsuite
LaFranzo: Went through CAP for RNA; Pinnacle was their first offering for FFPE and RNA. Limited material; unpredictable. #genomicsfest
12:18pm October 4th 2017 via Hootsuite
LaFranzo: CoFactor is both biotechnology and bioinformatics. Started as an NGS service provider; focus is on RNA in '13 #genomicsfest
12:17pm October 4th 2017 via Hootsuite
Natalie LaFranzo (Cofactor Genomics) Diving deep into the tumor microenvironment #genomicsfest
12:16pm October 4th 2017 via Hootsuite
Patel: Ab with oligos - with UMI's on antibodies, simultaneous RNA and protein. #genomicsfest
12:14pm October 4th 2017 via Hootsuite
Patel: Panels of 400 targets: breast cancer, T-cell expression, immune response, stem cells. In dev: immuno-oncology #genomicsfest
12:10pm October 4th 2017 via Hootsuite
Patel: Claim higher sens, better resolution, economy of sequencing (60% reads are dominated by high-abundance xcrpts) #genomicsfest
12:09pm October 4th 2017 via Hootsuite
Patel: Magnets pull beads in bulk, synthesize cDNA, sequence. Targeted approach: panels of pre-selected genes #genomicsfest
12:06pm October 4th 2017 via Hootsuite
Patel: Magnetic beads are 1:1, constrained by Poisson. Well has single cell and single bead; lyse cells and captured on bead #genomicsfest
12:05pm October 4th 2017 via Hootsuite
Patel: 200K microwells, sparse loading. Easy-to-use (compared to emulsion droplets). See 65% load to capture efficiency #genomicsfest
Patel: 'Bringing single-cell RNA-seq to any lab'. Powering high number of samples; 20K cells via gravity deposition. 50um #genomicsfest
12:04pm October 4th 2017 via Hootsuite
Patel: A microwell capture-based system. Beads to capture RNA, targeted gene expression for better sens, decrease in costs #genomicsfest
12:02pm October 4th 2017 via Hootsuite
Patel: Acquisition of Cellular Research for single-cell RNA analysis, molecular indexing of RNAs. Rhapsody is targeted GEx #genomicsfest
12:01pm October 4th 2017 via Hootsuite
Kieren Patel (BD_ Rhapsody and AbSeq - RNA and protein analysis #genomicsfest
12:00pm October 4th 2017 via Hootsuite
Q: future of NovaSeq? Schweitzer: Almost too big for what they do. RNA-Seq; too high a multiplex doesn't make a lot of sense #genomicsfest
11:36am October 4th 2017 via Hootsuite
Schweitzer: Other key advantage is turnaound-time. They still have big Sanger operation; same-day service. #genomicsfest
11:33am October 4th 2017 via Hootsuite
Q: How to respond to outsourcing? Schweitzer: At times they do refer outside. Value of a core: someone to get consultation #genomicsfest
Schweitzer: Secondary indexing primers, 384 samples, grew out of VitusGen project. (No details on the multiplex tech) #genomicsfest
11:28am October 4th 2017 via Hootsuite
Schweitzer: Sequencing costs approaching zero? Driving down cost of library prep for large projects - AmpSeq, 500-plex #genomicsfest
11:27am October 4th 2017 via Hootsuite
Schweitzer: Shows size-selection using Sage BluePippin and AATi characterization in prep for 10X Genomics libraries #genomicsfest
11:26am October 4th 2017 via Hootsuite
Schweitzer: Their use of AATii fragment analyzer and Bio-Rad ddPCR used extensively for library QC. Shows data from femtopulse #genomicsfest
11:24am October 4th 2017 via Hootsuite
Schweitzer: Criteria for new instrumentation is 'workhorse': particularly useful, and with multiple purposes. #genomicsfest
11:16am October 4th 2017 via Hootsuite
