VidjilNet Consortium

Gathering onco-hematological laboratories, research centers, and industrial and institutional partners, the VidjilNet consortium is dedicated to

• sustain and support open-source development of the Vidjil web platform, the underlying Vidjil-algo component, and possibly other software to study immune repertoires, by adapting them to the needs of members;
• provide bioinformatics support and services to the members for these software, whether for clinical purpose or for hematological or immunological research. As of 2022, the consortium provides support to host, maintain, and certify Vidjil analyses.

The consortium works into a quality approach concerning both software development and testing, the relationship with its members, and ethics on health data processing. Vidjil was awarded an honourable mention at the 2022 Open Science Awards for Open Source Research Software, in the Community category.

VidjilNet is incubated in Inria since 2018, and membership is offered since the end of 2019.

Why join the consortium?

• show your interest in the Vidjil platform, deciding collectively on its major developments and participating in the membership community, both on the user side and on the developer side;
• benefit from member-only services: installation, training and support by a bioinformatician engineer, development of functionalities, remote maintenance of a server or hosting on a shared server, transfer of data and backup configuration. Hospital laboratories as well as research groups who wish to support the project are welcome to join, even if they do not perform analyzes in a clinical setting. Inria can also receive donations for the VidjilNet consortium.

Request the contract and ask your questions to Florian, Marc, Mathieu, and Mikaël: contact@vidjil.net

Committees

The VidjilNet consortium is run by an Executive Committee and a Scientific and Technical Committee. Each committee gather 3 elected members, 3 represententative of the developpers, and 1 representantive of Inria.

References, publications

The Vidjil methods and platform were first described in [Giraud, Salson 2014] (algorithm) and [Duez 2016] (web platform). Reference for protocols are [Villarese 2022] (marker identification in ALL) and [Septenville 2022] (assessment of mutational status in CLL).

• Mathieu Giraud, Mikaël Salson, et al., Fast multiclonal clusterization of V(D)J recombinations from high-throughput sequencing, BMC Genomics 2014, 15:409 http://dx.doi.org/10.1186/1471-2164-15-409
• Marc Duez et al., Vidjil: A web platform for analysis of high-throughput repertoire sequencing, PLOS ONE 2016, 11(11):e0166126 http://dx.doi.org/10.1371/journal.pone.0166126
• Patrick Villarese et al., One-Step Next-Generation Sequencing of Immunoglobulin and T-Cell Receptor Gene Recombinations for MRD Marker Identification in Acute Lymphoblastic Leukemia, Immunogenetics, Methods in Molecular Biology 2453, pp. 43-59, http://dx.doi.org/10.1007/978-1-0716-2115-8_3
• Anne Langlois de Septenville et al., Immunoglobulin Gene Mutational Status Assessment by Next Generation Sequencing in Chronic Lymphocytic Leukemia, Immunogenetics, Methods in Molecular Biology 2453, pp. 153-167, http://dx.doi.org/10.1007/978-1-0716-2115-8_10

More than 40 studies in hematology, immunology, and/or computational biology were published using the Vidjil platform, including 15+ papers involving VidjilNet developers and researchers.