Jieming Chen, Shravan Madireddi, Deepti Nagarkar, Maciej Migdal, Jason A. Vander Heiden, Diana Chang, Kiran Mukhyala, Suresh Selvaraj, Edward E. Kadel, Matthew J. Brauer, Sanjeev Mariathasan, Julie Hunkapiller, Suchit Jhunjhunwala, Matthew L. Albert, Christian Hammer. In silico tools for accurate HLA and KIR inference from clinical sequencing data empower immunogenetics on individual-patient and population scales. Briefings in Bioinformatics, 22(3), 2021. [doi]
@article{ChenMNMHCMSKBMH21,
title = {In silico tools for accurate HLA and KIR inference from clinical sequencing data empower immunogenetics on individual-patient and population scales},
author = {Jieming Chen and Shravan Madireddi and Deepti Nagarkar and Maciej Migdal and Jason A. Vander Heiden and Diana Chang and Kiran Mukhyala and Suresh Selvaraj and Edward E. Kadel and Matthew J. Brauer and Sanjeev Mariathasan and Julie Hunkapiller and Suchit Jhunjhunwala and Matthew L. Albert and Christian Hammer},
year = {2021},
doi = {10.1093/bib/bbaa223},
url = {https://doi.org/10.1093/bib/bbaa223},
researchr = {https://researchr.org/publication/ChenMNMHCMSKBMH21},
cites = {0},
citedby = {0},
journal = {Briefings in Bioinformatics},
volume = {22},
number = {3},
}