HoTResDB: host transcriptional response database for viral hemorrhagic fevers

Jonathan Lo; Deric Zhang; Emily Speranza; Jose A Negron; John H Connor

doi:10.1093/bioinformatics/btx599

HoTResDB: host transcriptional response database for viral hemorrhagic fevers

Bioinformatics. 2018 Jan 15;34(2):321-322. doi: 10.1093/bioinformatics/btx599.

Authors

Jonathan Lo¹, Deric Zhang¹, Emily Speranza^{1

2}, Jose A Negron¹, John H Connor^{1

2}

Affiliations

¹ Bioinformatics Program, Boston University, 24 Cummington Mall, Boston, MA, USA.
² Department of Microbiology, National Emerging Infectious Diseases Laboratories (NEIDL), Boston Univeristy, 620 Albany St, Boston, MA, USA.

Abstract

Summary: High-throughput screening of the host transcriptional response to various viral infections provides a wealth of data, but utilization of microarray and next generation sequencing (NGS) data for analysis can be difficult. The Host Transcriptional Response DataBase (HoTResDB), allows visitors to access already processed microarray and NGS data from non-human primate models of viral hemorrhagic fever to better understand the host transcriptional response.

Availability: HoTResDB is freely available at http://hotresdb.bu.edu.

Grants and funding

R21 AI121933/AI/NIAID NIH HHS/United States