iReceptor Plus https://www.ireceptor-plus.com/ Sharing AIRR Seq Data Wed, 23 Feb 2022 09:29:40 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://www.ireceptor-plus.com/wp-content/uploads/2019/01/favicon-new-150x150.jpg iReceptor Plus https://www.ireceptor-plus.com/ 32 32 Contribution of iReceptor Plus to COVID-19 research highlighted at Human Vaccine Project meeting https://www.ireceptor-plus.com/contribution-of-ireceptor-plus-to-covid-19-research-highlighted-at-human-vaccine-project-meeting/ Wed, 23 Feb 2022 09:14:24 +0000 https://www.ireceptor-plus.com/?p=2378 An hour-long, online discussion by prominent researchers involved in the iReceptor Plus project was observed and heard by researchers around the world on February 10, 2022.

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]]> AIRR-seq can teach about fundamental immune processes, with broad implications for biomed https://www.ireceptor-plus.com/airr-seq-can-teach-about-fundamental-immune-processes-with-broad-implications-for-biomed/ Sun, 30 Jan 2022 13:21:51 +0000 https://www.ireceptor-plus.com/?p=2313 TCR and BCR repertoires, or adaptive immune receptor repertoires (AIRRs), are the front line of adaptive immunity. AIRR-seq is becoming a common tool to study immune system dynamics.

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]]> How does iReceptor Plus address privacy issues? https://www.ireceptor-plus.com/how-does-ireceptor-plus-address-privacy-issues/ Mon, 25 Oct 2021 11:58:21 +0000 https://www.ireceptor-plus.com/?p=2197 Praise for iReceptor Plus and its ability to help researchers around the world to share and analyze huge immunological distributed datasets was recently posted on ERCIM News magazine.

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]]> Discovery of neutralizing antibodies results from single-cell sequencing of B-cells from COVID-19 patients https://www.ireceptor-plus.com/discovery-of-neutralizing-antibodies-results-from-single-cell-sequencing-of-b-cells-from-covid-19-patients/ Mon, 23 Aug 2021 08:04:57 +0000 https://www.ireceptor-plus.com/?p=2151 A new study on single-cells sequencing of B-cells from COVID-19 patients – led by Dr. Natalia Freund in collaboration with the iR+ Project – has been published in PLoS Pathogens.

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]]> AIRR Community and Tsinghua University discuss Chinese research using AIRR-seq data to study adaptive immune response in COVID-19 patients https://www.ireceptor-plus.com/airr-community-and-tsinghua-university-discuss-chinese-research-using-airr-seq-data-to-study-adaptive-immune-response-in-covid-19-patients/ Thu, 13 May 2021 13:47:01 +0000 https://www.ireceptor-plus.com/?p=2100 A meeting focusing on Chinese researchers’ use of AIRR-seq data to study the adaptive immune response, especially in COVID-19 patients, was held recently by the AIRR Community and Tsinghua University.

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]]> iReceptor Plus partners leverage 3D-derived vocabulary to demonstrate predictability of antibody-antigen binding https://www.ireceptor-plus.com/ireceptor-plus-partners-leverage-3d-derived-vocabulary-to-demonstrate-predictability-of-antibody-antigen-binding/ Tue, 13 Apr 2021 13:05:49 +0000 https://www.ireceptor-plus.com/?p=2064 iR+ partners, Victor Greiff and Andrei Slabodkin of UiO, show that a compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding, in a new paper published at Cell Reports.

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]]> iReceptor Plus partners release immuneML, a platform for machine learning analysis of adaptive immune receptor repertoires https://www.ireceptor-plus.com/ireceptor-plus-partners-release-immuneml-a-platform-for-machine-learning-analysis-of-adaptive-immune-receptor-repertoires/ Wed, 24 Mar 2021 10:37:52 +0000 https://www.ireceptor-plus.com/?p=2039 Research entitled “Mining adaptive immune receptor repertoires for biological and clinical information using machine learning” has been published in the journal Current Opinion in Systems Biology by three iR+ partners.

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]]> iReceptor Plus partners published a review article on mining AIRRs for biological and clinical information using machine learning https://www.ireceptor-plus.com/ireceptor-plus-partners-published-a-review-article-on-mining-airrs-for-biological-and-clinical-information-using-machine-learning/ Tue, 26 Jan 2021 10:30:13 +0000 https://www.ireceptor-plus.com/?p=1964 Research entitled “Mining adaptive immune receptor repertoires for biological and clinical information using machine learning” has been published in the journal Current Opinion in Systems Biology by three iR+ partners.

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]]> Evaluating how data from different methods could – or could not – be compared https://www.ireceptor-plus.com/evaluating-how-data-from-different-methods-could-or-could-not-be-compared/ Tue, 08 Dec 2020 15:07:55 +0000 https://www.ireceptor-plus.com/?p=1941 Associate Prof. Encarnita Mariotti-Ferrandiz of Sorbonne University has headed an 18-member research team that recently published an important paper on benchmarking TCRseq methods in Nature Biotechnology.

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