A new data T-cell cancer study has been added to the iReceptor Public Archive (IPA) repository, bringing the total number of annotated sequences that can be searched to over 700 million. The study, performed by Wang et. al., entitled "The Different T-cell Receptor Repertoires in Breast Cancer Tumors, Draining Lymph Nodes, and Adjacent Tissues" is the largest single study in the iReceptor Public Archive at over 310 million annotated sequences.
CANARIE, a vital component of Canada’s digital infrastructure supporting research, education and innovation, today announced 20 successful recipients of its Research Software funding call, announced in late 2017. This funding will enable research teams in applied sciences and the humanities to adapt their existing research platforms for re-use by other research teams, including those working in different disciplines. As a result, new research teams from across Canada will be able to re-use previously funded and developed software to accelerate discovery.
The AIRR Community has recently published a paper entitled "AIRR Community Standardized Representations for Annotated Immune Repertoires" in Fronteirs in Immunology. The paper presents a specification for Data Representation of AIRR-seq data that facilitates the sharing of such data. iReceptor team members Brian Corrie and Nishanth Mathandan are co-authors on the paper.
The Canadian Institutes for Health Research (CIHR) today announced $800,000 in funding to expand Simon Fraser University’s iReceptor initiative. It is expected that this funding will be part of a Canada/EU flagship project totaling more than $12M Canadian over four years.
iReceptor v2.0, including a new improved Web Portal user interface, performance improvements on the data repositories, and new data sets in both the iReceptor Public Archive (IPA) and VDJServer repositories, is now available. Please visit gateway.ireceptor.org to access the iReceptor Gateway or send email to firstname.lastname@example.org to request an account.
Brian Corrie presented iReceptor in the Life Sciences stream of the 2018 Platform for Advanced Scientific Computing (PASC) conference in Basel, Switzerland. Like with the ISC Conference, there was a signficant focus on the Life Sciences and the use of Machine Learning in the Life Sciences, including a mini-symposium on "Computational Solutions to Large-Scale Data Management and Analysis Challenges in Personalized Health".
The first iReceptor paper has been published in Immunological Reviews. Entitled "iReceptor: A platform for querying and analyzing antibody/B‐cell and T‐cell receptor repertoire data across federated repositories" the paper discusses the need for such a system, the overall approach and architecture, as well as a number of use cases for the platform.
Brian Corrie presented iReceptor in the Research Poster Session at the European International Conference on High Performance Computing (ISC). There were a number of Life Sciences and Precision/Personalized Medicine sessions at the conference, with a significant focus on the use of Machine Learning in the Life Sciences. These included:
Jamie Scott and Felix Breden recently attended the Federation of Clinical Immunological Societies (FOCIS) meeting and represented the AIRR Community, The Antibody Society (TABS), and Dr. Breden presented on iReceptor in the TABS Symposium of FOCIS.