Began by acknowledging PacBio is a part of effort creating data problems. - Dawei lin

1-3 bases incorporated per second, 80K ZMW monitored parallelly - Dawei lin

Dataflow: 30 min- 4TB, Movie2Trace -> Trace 100GB -> Trace2Pulse -> Pulse (heigh, width, interbase time) -> 30 Min -1GB - Dawei lin

Filter -> Mapping (De novo assembly, reference alignment) -> consensus (Simple, Bayesian, HMM) -> identify variants > finished human genome 150GB (for 30X human) - Dawei lin

because quick reaction time, it makes sense to do the analysis at real time too - Dawei lin

It has 96 well. Steps Design job, monitor jobs, view data. - Dawei lin

SMRT View. PacBio's genome browser - Dawei lin

customers: Genome Centers, Service labs, Genomics institutes, Core labs, individual PIs, Clinical lab - Dawei lin

It targets to have data analysis results back in 15 minutes - Dawei lin

Software in Cloud is more maintainable , budget-able - Dawei lin

Circular consensus is a way to make high quality sequences - Dawei lin

Strobe sequencing: u=620 sigma=40 - Dawei lin

Event-based information model - Dawei lin

visualization and standardization make complexity manageable - Dawei lin

10,000 genomes is ~2PB of data. - Dawei lin

Hadoop: wasn't good for generic customer depolyment, did not play well with existing scheduler, but these have all been changed. - Dawei lin

PacBio still use a lot of structure binary files. - Dawei lin

Recreational and commercial genomics. - Dawei lin

Cloud computing infrastructure, application stack, niche genomics Saas - Dawei lin