[CODATA-international] Register now: Webinar on SARS-CoV-2 genomics and data analysis in the UK

Asha CODATA asha at codata.org
Fri Jul 9 12:01:15 EDT 2021

<https://codata.org/wp-content/uploads/2021/02/dsschool2.jpg>Date: 22 July,
Time: 13:00 – 14:00 GMT
Duration: 40 min session and 20 min Question Answers (Total 1 hour)

Registration Link:

This webinar is co-hosted webinar with the CODATA/RDA Schools for Research
Data Science Alumni Network

Dr Matthew Bashton is the lead bioinformatician of the COVID-19 Genomics UK
Consortium (COG-UK) team at Northumbria University. His talk will describe
the software set-up and environment used at Northumbria for delivering
their COVID-19 genomics solution, variant, and lineage classification,
including pipelines developed as well as other tools in use within COG-UK.
The team at Northumbria have successfully sequenced over 16,000 COVID-19
genomes contributing to both genomic surveillance nationally and
participating in local outbreak investigations where genomics helped to
track the spread of the virus amongst people and inform infection control
efforts. Matthew will talk about the challenge of building and maintaining
a production software environment, as you use it, in a rapidly developing
and constantly evolving landscape.

Name of the Speaker: Dr Matthew Bashton
Designation: Vice Chancellors Senior Fellow
Affiliation : The Hub for Biotechnology in the Built Environment,
Department of Applied Sciences, Faculty of Health and Life Sciences,
Northumbria University, Newcastle upon Tyne, UK

Matthew Bashton is a Computational Biologist, with extensive bio-, chemo-
and clinical informatics experience, with specific expertise in the areas
of protein domains, protein structure and function, ligand protein
interactions, high-throughput sequence analysis, genome analysis, and
biomarker discovery. Matthew did an undergraduate degree in Biochemistry at
Newcastle University; his PhD was in the area of structural genomics at the
MRC Laboratory of Molecular Biology in Cambridge in the group of Dr Cyrus
Cothia FRS. His PhD focused on how different families of protein domain
come together geometrically and grammatically to realise functions at a
whole protein level. Matthew worked as a Research Fellow in the Group of
Professor Dame Janet Thornton FRS at the European Bioinformatics Institute
(EBI); here he was part of the US DOE funded Midwest Centre for Structural
Genomics (MCSG) Consortium. Whilst at the EBI Matthew developed the
PROCOGNATE database which relates protein domain families to the range of
cognate ligands they bind. He also worked on the Small Molecular Subgraph
Detector (SMSD) which enables rapid and accurate 2D graph based chemical
similarly and fragment matching. Following his time at the EBI Matthew went
to work in the Bioinformatics Support Unit at Newcastle University where he
gained a breadth of experience working with high-throughput sequencing
(HTS) data on a range of omic projects with many different PIs in the
medical school. He then moved into cancer genomics research working at the
Northern Institute for Cancer Research (NICR) in Newcastle, where he
developed a variety of HPC analysis pipelines for somatic genome and exome
analysis, alongside biomarker based risk and subgroup classification
projects on paediatric brain tumours and leukaemia. Matthew is now working
within the multidisciplinary Hub for Biotechnology in the Built Environment
(HBBE), working with a range of designers, architects, engineers and
synthetic and molecular biologists to enhance building construction,
sustainability, and environmental health of the built environment using
biology. In 2020-2021 Matthew became a member of the UKs COVID-19 genomics
effort working alongside a team at Northumbria University to sequence of
16,000 COVID-19 genomes from 7 different hospital Trusts across the North
East and Cumbria.



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<https://codata.org/may-2021-publications-in-the-data-science-journal/> in
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Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

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