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Accession: PRJNA548335 ID: 548335

Benchmarking of T cell receptor repertoire profiling methods reveals large systematic biases

Using standardized samples, we compared 9 methods for T-Cell Receptor repertoire analysis (TCRseq).
AccessionPRJNA548335
Data TypeRaw sequence reads
ScopeMultispecies
Grants
  • "nd" (Grant ID 17-15-01495, Russian Science Foundation)
  • "Intramural program" (Grant ID nd, National Institute of Allergy and Infectious Diseases)
  • "nd" (Grant ID nd, National Institute for Health Research UCL Hospitals Biomedical Research)
  • "CEITEC 2020" (Grant ID LQ1601, Ministry of Education, Youth and Sports of the Czech Republic)
  • "ERC-Advanced TRiPoD" (Grant ID 322856, European Research Council)
  • "DFG" (Grant ID FZ 111, Center for Regenerative Therapies Dresden)
  • "LabEx Transimmunom" (Grant ID ANR-11-IDEX-0004-02, Agence National de Recherche)
  • "RHU iMAP" (Grant ID ANR-16-RHUS-0001, Agence National de Recherche)
SubmissionRegistration date: 11-Jun-2019
- Sorbonne Universite - INSERM UMRS959
- Sorbonne Universite - INSERM UMRS959
RelevanceTCR repertoire methodology comparison
Project Data:
Resource NameNumber
of Links
Sequence data
SRA Experiments147
Other datasets
BioSample147
SRA Data Details
ParameterValue
Data volume, Gbases113
Data volume, Mbytes65161

Supplemental Content

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