Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data

By Namita T. Gupta, J. V. Heiden, Mohamed Uduman, Daniel Gadala-Maria, G. Yaari, S. Kleinstein. Bioinform., 2015

779 citations recorded by the source corpus.

Subfields: Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/100eebb97db41da8bc14099daa428516b7232bea

How researchers see this paper

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

In Molecular Biology

1. Philip Bradley
2. Frederick Albert Matsen IV
3. David Baker
4. Nikolaos G. Sgourakis
5. Yang Zhang
6. Santrupti Nerli
7. Frank DiMaio
8. Tanja Kortemme

In Radiology, Nuclear Medicine and Imaging

1. Philip Bradley

Citations in the corpus

• Deep generative models for T cell receptor protein sequences (2019, methodology): “The sumrep package depends heavily on the Immcantation framework (https://immcantation.readthedocs.io/; Gupta et al., 2015).”