Related Experiment Video
Updated: Jul 9, 2025
Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples
Published on: December 22, 2014
Hostile: accurate decontamination of microbial host sequences
Bede Constantinides1,2, Martin Hunt1,3, Derrick W Crook1,2,4
1NDM Experimental Medicine, University of Oxford, John Radcliffe Hospital, Oxfordshire OX3 9DU, United Kingdom.
Motivation:
Microbial sequences generated from clinical samples are often contaminated with human host sequences that must be removed for ethical and legal reasons. Care must be taken to excise host sequences without inadvertently removing target microbial sequences to the detriment of downstream analyses such as variant calling and de novo assembly.
Results:
To facilitate accurate host decontamination of both short and long sequencing reads, we developed Hostile, a tool capable of accurate host read removal using a laptop. We demonstrate that our approach removes at least 99.6% of real human reads and retains at least 99.989% of simulated bacterial reads. Using Hostile with a masked reference genome further increases bacterial read retention (≥99.997%) with negligible (≤0.001%) reduction in human read removal performance. Compared with an existing tool, Hostile removes 21%-23% more human short reads and 21-43 times fewer bacterial reads, typically in less time.
Availability And Implementation:
Hostile is implemented as an MIT-licensed Python package available from https://github.com/bede/hostile together with supplementary material.
