Differences

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--- start [2024/09/17 12:13] – shankar
+++ start [2025/02/18 15:24] (current) – [Data Upload] strich
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     * [[https://academic.oup.com/nar/article/38/suppl_1/D488/3112190|Link to Gao et al 2009 @80,100,350,205|target=_tab]]
     * [[https://academic.oup.com/nar/article/44/D1/D502/2502710?login=true|Wicker et al 2016 @370,100,660,200|target=_tab]]
-    * [[https://pubs.rsc.org/en/content/articlelanding/2017/em/c6em00697c|Latino et al 2017 @636,411,965,568|target=_tab]]
+    * [[https://pubs.rsc.org/en/content/articlelanding/2017/em/c6em00697c|Latino et al 2017 @500,325,765,444|target=_tab]]
 {{<map}}
@@ Line 102: / Line 102: @@
 ==== Data Upload ====
-We are working to upload biotransformation pathways in a quick and efficient manner using an excel workbook. If you want to add your data to a future reviewed package, please fill out this template {{ :envipath_upload_template_august2024.xlsx |}} and upload your completed version to our [[https://www.dropbox.com/scl/fo/9hs9cjf27ezu690yg15vt/AFwci9ls8xoGEWnv5wlMf38?rlkey=vfjvw3wga4qtap53m7sijad8e&st=trhvvtrc&dl=0|Dropbox folder]]. Note- when you upload your filled-out version, you will need to rename it to something unique (i.e. lastname_firstname_yymmdd_compoundname.xlsx)
+We are working to upload biotransformation pathways in a quick and efficient manner using an excel workbook. If you want to add your data to a future reviewed package, please fill out this template {{ :envipath_upload_template_2025.xlsx |}} and upload your completed version to our [[https://www.dropbox.com/scl/fo/9hs9cjf27ezu690yg15vt/AFwci9ls8xoGEWnv5wlMf38?rlkey=vfjvw3wga4qtap53m7sijad8e&st=trhvvtrc&dl=0|Dropbox folder]]. Note- when you upload your filled-out version, you will need to rename it to something unique (i.e. lastname_firstname_yymmdd_compoundname.xlsx)
+==== Associated Resources ====
+[[https://github.com/MSM-group/ContaHMM?tab=readme-ov-file#contahmm-a-resource-for-the-search-of-biotransformation-related-bacterial-genes|ContaHMM: A Resource for the search of Biotransformation-Related Bacterial Genes]]
+We present a dataset and HMMs (Hidden Markov Models) for biotransformation-related bacterial genes, compiled from existing databases and enhanced by extensive metadata collection, manual curation, and HMM generation.This collection aims to facilitate the annotation of biotransformation-related enzymes and expand the known examples in the field.