VIB Tech Watch

Interested in getting an update on emerging technologies and breakthrough science in the sequencing field, including talks of Sarah Teichmann (Sanger Institute, Human Cell Atlas), Serge Saxonov (co-founder, CEO, 10x Genomics), Clive Brown (CTO, Oxford Nanopore Technologies), Long Cai (California Institute of Technology), and many, many more? Join us on March 25-26 in Antwerp!

Revolutionizing Next-Generation Sequencing (3rd edition) | VIB Conference series Revolutionizing Next-Generation Sequencing (3rd edition) A VIB Tools & Technologies Conference25-26 March 2019 - Antwerp - BelgiumRegistrations are openPictures of the event, added after the event has passed ... Registration untilMonday, 11 March, 2019Corporate Partners Early BirdFeb 11FinalMar 11Ph...

Tech Watch is hiring a highly motivated Sequencing Technology Specialist! Do you have experience in NGS and basic/advanced knowledge of bioinformatics? Are you passionate about technologies, science and single cell technologies? Apply now or share with your network!

Sequencing Technology Specialist - VIB About VIB VIB is an excellence-based research institute dedicated to high-impact life sciences research and world-class technology transfer. VIB Scientists pursue basic molecular life-science resea

VIB Tech Watch is in the News! GenomeWeb reports on the use of the PromethION sequencer of Oxford Nanopore Technologies in multiple research projects at VIB. Looking forward to hear the new updates on their technologies at London Calling on May 24 - 25

Oxford Nanopore Customers in Europe, Australia Discuss Initial Runs on PromethIon Most customers are still in the very early stages of testing the device but said that data yield per flow cell has been continually increasing to nearly 100 gigabases.

Predict the off-target effect of your CRISPR guide RNA using the machine-learning model of Elevation

Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs A cloud-based machine-learning software that scores individual guide–target pairs and provides an overall summary score for a given guide that outperforms competing algorithms for the prediction of CRISPR–Cas9 off-target effects.