From 635b4473b9d0ad11d83f0d3edc7dfe2085ccf014 Mon Sep 17 00:00:00 2001 From: Justin van der Hooft <justin.vanderhooft@wur.nl> Date: Wed, 15 Feb 2023 12:03:12 +0000 Subject: [PATCH] Update README.md --- README.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 73cbafd..3526228 100644 --- a/README.md +++ b/README.md @@ -26,6 +26,11 @@ E-mail: marnix.medema@wur.nl, justin.vanderhooft@wur.nl  +# Citing iPRESTO + +Did you use iPRESTO for your work? Please cite our paper: https://doi.org/10.1371/journal.pcbi.1010462 +In there, you can also find more background information on the tool. + ## Dependencies iPRESTO is build and tested in python3.6. The required python packages are @@ -57,7 +62,7 @@ git clone https://git.wur.nl/bioinformatics/iPRESTO.git ## Querying existing sub-cluster models The sub-cluster models that were created in the publication can be downloaded from -Zenodo at https://doi.org/10.5281/zenodo.6953657. They can then be used to query your own BGCs +Zenodo at https://doi.org/10.5281/zenodo.6953656. They can then be used to query your own BGCs for sub-clusters. At that link you can also find the HMMs used in the publication (with the subPfam HMMs) and an example clusterfile with tokenised BGCs from the antiSMASH-DB dataset. @@ -133,7 +138,7 @@ BGC_name2,-,Lant_dehydr_N;Lant_dehydr_C,LANC_like\n Other scripts fullfill additional roles for more functionality. subPfams can be created with https://github.com/satriaphd/build_subpfam. subPfams used in the -publication can be downloaded from the Zenodo https://doi.org/10.5281/zenodo.6953657. +publication can be downloaded from the Zenodo https://doi.org/10.5281/zenodo.6953656. ## Output -- GitLab