MiTCR: software for T cell receptor sequencing data analysis

• Authors: BOLOTIN DA; SHUGAY M.; MAMEDOV IZ; PUTINTSEVA EV; TURCHANINOVA MA; ZVYAGIN I.; BRITANOVA Olga; CHUDAKOV Dmitriy
• Year of publication: 2013
• Type: Article in Periodical
• Magazine / Source: Nature Methods
• MU Faculty or unit: Central European Institute of Technology
• web: http://www.nature.com/nmeth/journal/v10/n9/pdf/nmeth.2555.pdf
• Doi: http://dx.doi.org/10.1038/NMETH.2555
• Field: Genetics and molecular biology
• Keywords: T-cell; sequencing data analysis; software
• Description: High-troughput sequencing technologies have transformed the field of antigen receptor diversity studies, enabling deep and qquantitative analzsis for deciphering adaptive immunity function in health and disease.