From 984a39f51034f11ffc6ea5165211e2161db726ee Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ren=C3=A9?= Date: Sat, 15 Apr 2023 08:39:20 +0300 Subject: [PATCH] Update readme.md --- readme.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/readme.md b/readme.md index 0665fc7..54e51a6 100644 --- a/readme.md +++ b/readme.md @@ -10,7 +10,7 @@ Thank you for your [![Stars](https://img.shields.io/github/stars/warrenlr/HLAmin ## HLAminer v1.4 Rene L. Warren (c) 2011-2023 -### Manual Reference Pages – HLAminer - Derivation of HLA class I and class II predictions from shotgun sequence datasets +### Manual Reference Pages – HLAminer - Derivation of HLA (Human Leukocyte Antigen) class I and class II predictions from shotgun sequence datasets * This manual assumes that you have a working knowledge of unix, and some shell and perl scripting experience ### NAME @@ -34,7 +34,7 @@ Thank you for your [![Stars](https://img.shields.io/github/stars/warrenlr/HLAmin ### SYNOPSIS -------- - HLAminer is a pipeline for predicting HLA from shotgun sequence data (ie. whole genome, whole transcriptome/RNA-Seq, exome), at the group and allele resolution. + HLAminer is a pipeline for predicting Human Leukocyte Antigen (HLA) signatures from shotgun sequence data (ie. whole genome, whole transcriptome/RNA-Seq, exome), at the group and allele resolution. It supports predictions from a variety of DNA sequencing technologies including those from Illumina, MGI, PacBio and Oxford Nanopore. Predictions are either derived from targeted assembly or direct alignment.