MiXCR: software for comprehensive adaptive immunity profiling

By D. Bolotin, S. Poslavsky, Igor Mitrophanov, M. Shugay, I. Mamedov, E. Putintseva, Dmitriy M. Chudakov. Nature Methods, 2015

1,562 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Best practices for single-cell analysis across modalities (2023, background): “4 | Overview of CITE-seq data processing. a , Antibody-derived tags (ADTs) are antibody clones with unique barcodes attached to poly(A) sequences and a PCR handle that is specifically amplified in subsequent library processing steps.”
Comprehensive mapping of immune perturbations associated with severe COVID-19 (2020, background): “To evaluate the clonal landscape, we ranked the proportion of clones within the top ten (1-10), next 90 (11-100), next 900 (100-1,000), and most diverse clones with ranks above 1,000 (1,000+) (Fig.”
Regulatory T cells exhibit distinct features in human breast cancer (2016, neutral): “To distinguish between these possibilities, T cell receptor (TCR) beta CDR3 sequences were extracted from the RNA-seq data using MiXCR software (Bolotin et al., 2015).”
VDJtools: Unifying Post-analysis of T Cell Receptor Repertoires (2015, methodology): “VDJtools accepts tabular output of commonly used pre-processing software: MIGEC [2], MiTCR [1], ImmunoSEQ [38], IMGT/HighV-QUEST [4], and MiXCR [3].”