Submitted by Barbara Kramarz on Mon, 09/03/2018 - 06:52
In the September issue of our newsletter (https://www.ucl.ac.uk/functional-gene-annotation/newsletters/Issue1
) we are pleased to make two exciting announcements. Ruth has been promoted to Professorial Research Fellow (Congratulations Professor Lovering!), whereas Rachael will be working on annotation of microRNAs involved in regulation of neuroinflammatory processes.
Submitted by Barbara Kramarz on Tue, 07/31/2018 - 06:58
Submitted by Chris Mungall on Mon, 07/02/2018 - 14:49
The GO is changing the identifiers used in Reactome cross-references (xrefs).
Currently we create xrefs IDs of the form "Reactome:REACT_XXXXX". These will be changed to canonical Reactome xrefs of the form Reactome:R-HSA-YYYYYY. An additional change is that we will only include xrefs to the human reaction, and will not include xrefs propagated to other species (let us know if you need these, and we can provide a method for obtaining these from Reactome).
Submitted by Barbara Kramarz on Fri, 06/29/2018 - 09:33
Submitted by Rachael Huntley on Thu, 06/14/2018 - 02:01
Submitted by Barbara Kramarz on Wed, 03/28/2018 - 16:40
The UCL neurological gene annotation newsletter is now available at www.ucl.ac.uk/functional-gene-annotation/neurological/newsletter/Issue16
The Neurological Gene Ontology Annotation Initiative represents a collaboration between University College London, the European Bioinformatics Institute (EBI), and University of Manchester, funded by Alzheimer's Research UK (grants ARUK-NSG2016-13 and ARUK-NAS2017A-1).
Submitted by Rachael Huntley on Wed, 02/21/2018 - 02:16
A new article from GO Consortium members was published this week in the journal Autophagy.
Autophagy is a fundamental process used to recycle cellular components, respond to cellular stresses and remove foreign material from cells. Disruption of autophagy can lead to neurodegeneration, cardiac disease and cancer.
Submitted by Rachael Huntley on Wed, 02/14/2018 - 07:33
Led by Ruth Lovering at University College London, the GO Consortium has collaborated with cardiovascular experts on a project to improve and expand the ontological representation of heart processes in the Gene Ontology. Subsequent literature curation using the new ontology terms has created a computational resource that can facilitate the interpretation of cardiac phenotypes.
Submitted by Ruth Lovering on Thu, 02/01/2018 - 07:52