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T cell

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Read more about the article Evaluating how data from different methods could – or could not – be compared

Evaluating how data from different methods could – or could not – be compared

  • Post author:Boaz Babai
  • Post published:08/12/2020
  • Post category:Blog

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.

Continue ReadingEvaluating how data from different methods could – or could not – be compared
Read more about the article iReceptor Plus participates in hackathon to fight the COVID-19 pandemic

iReceptor Plus participates in hackathon to fight the COVID-19 pandemic

  • Post author:Boaz Babai
  • Post published:06/06/2020
  • Post category:Blog

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.

Continue ReadingiReceptor Plus participates in hackathon to fight the COVID-19 pandemic
Read more about the article Second Artathon and third SCAIR meeting coming up

Second Artathon and third SCAIR meeting coming up

  • Post author:Boaz Babai
  • Post published:22/10/2019
  • Post category:Blog

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.

Continue ReadingSecond Artathon and third SCAIR meeting coming up
Read more about the article Two leading scientists join iReceptor Plus new scientific advisory board

Two leading scientists join iReceptor Plus new scientific advisory board

  • Post author:Boaz Babai
  • Post published:15/10/2019
  • Post category:Blog

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.

Continue ReadingTwo leading scientists join iReceptor Plus new scientific advisory board
Read more about the article Machine learning technique helps distinguish between healthy and cancerous tissue

Machine learning technique helps distinguish between healthy and cancerous tissue

  • Post author:Boaz Babai
  • Post published:27/06/2019
  • Post category:Blog

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.

Continue ReadingMachine learning technique helps distinguish between healthy and cancerous tissue

Tags:

10X Genomics Adaptive immune repertoires AIRR-seq AIRR Community AIRRs antibody antigen Artur Rocha Associate Prof. Encarnita Mariotti-Ferrandiz B cell B Cells B cell subsets BCRs big data binding Bioinformatics biosensors COVID-19 Dr. Brian Corrie Genomics genomic sequencing Gur Yaari Health immuneML immune system Immunobiology immunotherapies INESC TEC iReceptor Plus Lindsay Cowell machine learning patient care Prof. David Klatzmann Prof. Felix Breden Prof. Gur Yaari Prof. Victor Greiff receptor repertoire SCAIR T-cell receptor T cell T cells TCRs Tsinghua University vaccines Victor Greiff

EU canda
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825821 and the  Canadian Institutes of Health Research (CIHR).

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