openflydata.org

shuffl-announce.blogspot.com

Shuffl project announcements: October 2009

http://shuffl-announce.blogspot.com/2009_10_01_archive.html

This journal is used for progress and other announcements relating to the Shuffl project. As part of the required reporting structures. The project coordinator is Graham Klyne. Blog content is licensed under the Creative Commons attribution-sharealike-nonprofit license. Monday, 19 October 2009. Shuffl sprint 6 plan. The plan for Sprint 6 has been posted at http:/ code.google.com/p/shuffl/wiki/SprintPlan 6. The main targets for this sprint will be to work towards improved usability in two areas:. On the p...

alimanfoo.wordpress.com

FlyWeb – Working Across Databases for Drosophila Functional Genomics | Alistair Miles

https://alimanfoo.wordpress.com/2009/05/13/flyweb-working-across-databases-for-drosophila-functional-genomics

FlyWeb – Working Across Databases for Drosophila Functional Genomics. Over the last year or so, my main priority has been the FlyWeb Project. Unfortunately, FlyWeb was supported by short-term funding (18 months), and is coming to an end soon. Here are a few belated notes on what we did and why we did it…. The main goal of FlyWeb was to minimize the time required for a researcher in the domain of. Which hosts the following cross-database gene expression data search applications:. 8211; search for a. They ...

ontogenesis.knowledgeblog.org

Semantic Integration in the Life Sciences | Ontogenesis

http://ontogenesis.knowledgeblog.org/126/comment-page-1

On January 21, 2010 by Allyson Lister in Reviewed. Semantic Integration in the Life Sciences. See the Semantic Web, of which both OWL. Are components, as having the potential to aid translational and systems biology research; indeed, any life science field where there are large amounts of data in distributed, disparate formats should benefit from Semantic Web technologies ( Ruttenberg. Are used to perform the integration. Components or table and row names. Further, concepts between the source and tar...

graphgenomics.com

DomSoochoo – graph genomics

https://graphgenomics.com/author/domsooch

Whole organism lineage tracing by combinatorial and cumulative genome editing. Http:/ biorxiv.org/content/biorxiv/early/2016/05/11/052712.full.pdf. A new paper from Jay Shendure’s lab describes a new technique c. This is one of those works that takes an already revolutionary technique and just vaults it even further. You used CRISPR/Cas9 to stick the mutagenesis cassette into a specific region of the cells’ genome, then you used the same technique to perform the mutagensis. June 3, 2016. April 27, 2016.

zoo.ox.ac.uk

| Department of Zoology, University of Oxford

http://www.zoo.ox.ac.uk/staff/academics/shotton_dm.htm

Skip to Main Content Area. Academic Staff and Senior Research Fellows. Emeritus Members of the Department. Postdoctoral Researchers and Early Career Research Fellows. Emeritus Fellow of Wolfson College. My recent activities have included the development of biological image databases, particularly FlyTED. Testis gene expression data, and OpenFlyData. A data webs to enable integration of heterogeneous information from distributed. And exemplar prototypes of semantically enriched on-line research articles.

graphgenomics.com

Uncategorized – graph genomics

https://graphgenomics.com/category/uncategorized

Gerstein Talk at CSHL on ENCODE and Transcription Factor Regulatory Networks. This is a talk by Gerstein where he discusses Transcription Factor Regulatory Networks in genomes. This work is part of the ENCODE project that seeks to catalog and understand the entire regulatory network that controls human genome gene expression. 00:24:00 This is your raw data: here is the correlation between th. These tend to be very complicated and too difficult to make any sense of. They look like Hairballs. April 27, 2016.

bio2rdf.blogspot.com

Bio2RDF: Linked Data for the Life Sciences: 04/01/2009 - 05/01/2009

http://bio2rdf.blogspot.com/2009_04_01_archive.html

Bio2RDF: Linked Data for the Life Sciences. The Bio2RDF project uses open-source Semantic Web technologies to provide interlinked life science data to support biological knowledge discovery. Using both syntactic and semantic data integration techniques, Bio2RDF puts into practice a simple methodology to generate and seamlessly integrate machine-interpretable data that can be powerfully interograted with SPARQL-based queries to answer sophisticated questions. Tuesday, April 21, 2009. The way we produce th...