From 6f6fdd38a20181910b3c8c61c49e1bcc9b92876f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dar=C3=ADo=20Here=C3=B1=C3=BA?= Date: Sat, 18 Jul 2020 12:30:41 -0300 Subject: [PATCH] Minor fix on paragraph 03 * plus some minor proposals --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index d237144..a2d8130 100644 --- a/README.md +++ b/README.md @@ -1,15 +1,15 @@ # Microbiome Analysis Using R -Thanks to Joey McMurdie [@joey711](https://github.com/joey711), Ben Callahan [benjjneb](https://github.com/benjjneb) and Mike Mclaren [mmclaren42](https://github.com/mmclaren42) for assisting with the original preperation of materials. +Thanks to Joey McMurdie [@joey711](https://github.com/joey711), Ben Callahan [benjjneb](https://github.com/benjjneb) and Mike Mclaren [mmclaren42](https://github.com/mmclaren42) for assisting with the original preparation of materials. This material has sense been taught at: -1) Universidad de los Andes, Bogota, Colombia (3-7 December, 2018) -2) Univeristy KwaZulu-Natal, Durban, South Africa (8-12 October, 2018) +1) Universidad de los Andes, Bogotá, Colombia (3-7 December, 2018) +2) University KwaZulu-Natal, Durban, South Africa (8-12 October, 2018) 2) Workshop on Genomics, Cesky Krumlov, Czech Republic (5-18 January, 2020) # Background -These materials are intended to provide an overview of the basic principles underlying microbiome analysis using R. The materials are a mash-up of stuff we use in research, but also some contived examples we have found useful for teaching purposes. So if some of the code seems silly or verbose it is probably there for a reason only clear when teaching. +These materials are intended to provide an overview of the basic principles underlying microbiome analysis using R. The materials are a mash-up of stuff we use in research, but also some contrived examples we have found useful for teaching purposes. So if some of the code seems silly or verbose it is probably there for a reason only clear when teaching. The data originate from a study on the bacterial microbiome of mice treated with or without antibiotics to test the affects of the microbiome on flavivirus infection (https://www.ncbi.nlm.nih.gov/PubMed/29590614).