Articles on the Use of single cell analysis in COVID-19 research and A machine learning model that can Predict Base-editing Outcomes
Reporter: Aviva Lev-Ari, PhD, RN
From: Richard Lumb <contact@frontlinegenomics.com>
Date: July 1, 2020 at 6:05:55 AM EDT
To: avivalev-ari@alum.berkeley.edu
Subject: FLG Newsletter: Single cell analysis in COVID-19 research, a machine learning model that can predict base-editing outcomes & much more
Reply-To: contact@frontlinegenomics.com
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Front Line Genomics Newsletter
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Dear Aviva,
First of all, a big thank you to everyone who attended yesterday’s webinar on a new approach for exploring the dark genome. If you missed it, you can still watch it ‘on demand’ here.
In the last week, we’ve also launched two more webinar series. Both are free to attend and available live or on-demand:
Single Cell Online: A series of 4 webinars in July, starting on the 9th, focusing on unleashing the full power of single cell technologies. The series includes contributors from Novartis, Merck, Sanofi, Roche, the University of Gothenburg, MGI and Partek. Find out more and register here.
Driving FAIR in BioPharma: A series of 3 webinars in July and August, starting on the 21st July, exploring various use cases of FAIR data implementation to enable the potential of AI and ML in R&D. The series features contributors from AstraZeneca, Roche, Novartis, University of Oxford, ONTOFORCE, FDA, Eurofins and CDD. Click here to find out more and register.
Finally, this week on the website we have some fantastic content for you, including articles on the use of single cell analysis in COVID-19 research and a machine learning model that can predict base-editing outcomes. There’s also the latest DNA Today Podcasts focusing on infertility, featuring insights from genetic counsellors and the writer and producer of an explosive genetics mystery sci-fi movie called ANYA (check it out, it’s very thought provoking).
Stay safe everyone.
Kind Regards,
Rich
Richard Lumb PhD
Founder & CEO
Front Line Genomics
J202, The Biscuit Factory, 100 Drummond Rd, London, SE16 4DG.
T: +44 (0)208 191 8810
M: +44 (0)7739 251 898
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