This track shows putative epitopes for CD4+ and CD8+ T cells whose HLA binding
properties cover over 99% for US, European, and Asian populations, for both HLA-I and HLA-II.
The track includes 11,776 CD8 epitopes restricted to HLA-I as predicted by RECON. All the epitopes
are scored using a combined coverage score reported for USA, EUR, and API. Specifically,
score = (USA_coverage+EUR_coverage+API_coverage)*1000/3.
For more details, see
Display Conventions and Configuration
Genomic locations of epitopes are labeled with a unique ID. Mousing over an item shows
the protein name and restrictions to HLA-I. A click on an item shows a standard feature
detail page with the both the ID and the mouse over information.
For a full description of the methods used,
The raw data can be explored interactively with the
Table Browser, or combined with other datasets in the
Data Integrator tool.
For automated analysis, the genome annotation is stored in
a bigBed file that can be downloaded from
the download server.
be converted from binary to ASCII text by our command-line tool bigBedToBed.
Instructions for downloading this command can be found on our
The tool can also be used to obtain features within a given range without downloading the file,
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/wuhCor1/bbi/poranHla/CD8-hla1.bb -chrom=NC_045512v2 -start=0 -end=29902 stdout
Please refer to our
mailing list archives
for questions, or our
Data Access FAQ
for more information.
Asaf Poran, Dewi Harjanto, Matthew Malloy, Michael S. Rooney, Lakshmi Srinivasan,
Richard B. Gaynor. Sequence-based
prediction of vaccine targets for inducing T cell responses to SARS-CoV-2
utilizing the bioinformatics predictor RECON. bioRxiv 2020.04.06.027805