Doctoral Training Workshops

Following from our three collaboratories, which formed the initial part of our multi-method approach, we conducted two postgraduate workshops in June 2014: one at the ITU in Copenhagen and another at the Doctoral Training Centre at Goldsmiths, University of London. These advanced interdisciplinary workshops involved ‘socialising’ Big Data in two ways. First, they comprised of […]

Will Genomics England bring down the costs of sequencing?

Drawing on discussions about instruments, sequencing costs and projects at the ESRC Collaboratory on Next Generation Sequencing for Genomics, this posting questions the likely impact of the 100,000 Genome Project. The discussion about instruments was stimulated by the image below, produced by Professor Adrian Mackenzie from Lancaster University. This graph shows that most of the datasets […]

Socialising Big Data in terms of missing metrics #SBDGenomics

This post is a general reflection on the concerns of working with big data that follows from our first collaboratory on genomics held at the Wellcome Trust Sanger Institute in Cambridge this week (see Evelyn’s previous blog for further details). In discussing the opportunities, risks and challenges of working with big data, like Evelyn, I […]

Some initial thoughts on the Genomics Collaboratory

Our first collaboratory brought us together with a diverse group of genomic scientists working in academia, business, foundations and research institutes to discuss practical and conceptual issues about working with big DNA data.  One objective of this collaboratory involved developing, experimenting and trialling an interdisciplinary and cross-sectoral method for collaborative discussions across the social and […]

Metrics for DNA: how to make sense of what is going on in contemporary genomics

Our first collaboratory will be held on 2nd December, 2013 in Cambridgeshire to discuss metrics for DNA. Genomics is possibly one of the most sustained attempts at counting things ever undertaken in the modern life sciences. Genomics and various related ‘omics’ fields have developed a fabulously intricate infrastructure for generating, storing, sorting outand counting data on living things. […]