T cell Archives - iReceptor Plus https://www.ireceptor-plus.com/tag/t-cell/ Sharing AIRR Seq Data Wed, 09 Dec 2020 16:30:39 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://www.ireceptor-plus.com/wp-content/uploads/2019/01/favicon-new-150x150.jpg T cell Archives - iReceptor Plus https://www.ireceptor-plus.com/tag/t-cell/ 32 32 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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]]> iReceptor Plus participates in hackathon to fight the COVID-19 pandemic https://www.ireceptor-plus.com/ireceptor-plus-participates-in-hackathon-to-fight-the-covid-19-pandemic/ Sat, 06 Jun 2020 15:11:28 +0000 https://www.ireceptor-plus.com/?p=1633 iReceptor Plus team members Brian Corrie, Laura Gutierrez Funderburk and Felix Breden led the hackathon team, working on a project called the AIRR Adaptive Adapter.

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]]> Second Artathon and third SCAIR meeting coming up https://www.ireceptor-plus.com/second-artathon-and-third-scair-meeting-coming-up/ Tue, 22 Oct 2019 12:07:57 +0000 https://www.ireceptor-plus.com/?p=1251 Members of the iReceptor Plus Project will participate at the second Artathon and will also play a major role in the SCAIR 2019 meeting at the University of Haifa.

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]]> Two leading scientists join iReceptor Plus new scientific advisory board https://www.ireceptor-plus.com/two-leading-scientists-join-ireceptor-plus-new-scientific-advisory-board/ Tue, 15 Oct 2019 09:30:45 +0000 https://www.ireceptor-plus.com/?p=1231 The iReceptor Plus project has established a Scientific Advisory Board (SAB), beginning with two distinguished scientists, Prof. Steven H. Kleinstein and Prof. Gunilla Karlsson Hedestam.

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]]> Machine learning technique helps distinguish between healthy and cancerous tissue https://www.ireceptor-plus.com/machine-learning-technique-helps-distinguish-between-healthy-and-cancerous-tissue/ Thu, 27 Jun 2019 09:32:07 +0000 https://www.ireceptor-plus.com/?p=1140 A group of researchers at the University of Texas Southwestern Medical Center in Dallas Texas have published an article in the prestigious journal Cancer Research.

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