Recent news

BHF funded UCL-EBI collaboration leads to improved network analysis

10% increase in human PPIs at PSICQUIC following UCL-EBI collaboration funded by BHF creates GOC PPI dataset http://tinyurl.com/ob5vldo

Parkinson's Gene Annotation Newsletter July 2015

The UCL Parkinson's UK gene annotation newsletter is now available at https://www.ucl.ac.uk/functional-gene-annotation/neurological/newsletter... The Parkinson’s UK Gene Ontology Initiative represents a collaboration between University College London and the European Bioinformatics Institute (EBI) and is supported by Parkinson's UK grant G-1307.

GO annotation of autism relevant proteins

A UCL Genetics of Human Disease MSc student spent several months focusing on the annotation of 17 human proteins associated with autism, as well as many of the orthologous proteins.

Cardiovascular Gene Annotation Newsletter May 2015

The UCL cardiovascular gene annotation newsletter is now available at http://www.ucl.ac.uk/functional-gene-annotation/cardiovascular/newslette.... We discuss the release of microRNA GO annotations and the success of our introduction to bioinformatics and GO workshop. The Cardiovascular Gene Ontology Annotation Initiative represents a collaboration between University College London and the European Bioinformatics Institute (EBI), funded by the British Heart Foundation (grant RG/13/5/30112).

Cardiovascular Gene Annotation Newsletter February 2015

The UCL cardiovascular gene annotation newsletter is now available at http://www.ucl.ac.uk/functional-gene-annotation/cardiovascular/newslette.... We welcome 2 MSc project students to the team, and discuss Rachael's progress with annotation of microRNAs.

Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt.

A paper from the Uniprot group titled 'Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt.' explains some of the ways in which the ontologies and the GO annotation data can change that can affect the analyses using GO datasets.