diff --git a/Source/case_study.py b/Source/case_study.py index a278b45..113e665 100644 --- a/Source/case_study.py +++ b/Source/case_study.py @@ -204,17 +204,17 @@ def create_main_case_study(): col_1.info(''' This data set comes from the following paper: - **Herold, M., Martínez Arbas, S., Narayanasamy, S. et al.\ - Integration of time-series meta-omics data reveals how microbial\ - ecosystems respond to disturbance. Nat Commun 11, 5281(2020).\ - https://doi.org/10.1038/s41467-020-19006-2**. Analyzed samples\ - were collected from a biological wastewater treatment plant in\ + **Herold, M., Martínez Arbas, S., Narayanasamy, S. et al. + Integration of time-series meta-omics data reveals how microbial + ecosystems respond to disturbance. Nat Commun 11, 5281(2020). + https://doi.org/10.1038/s41467-020-19006-2**. Analyzed samples + were collected from a biological wastewater treatment plant in Schifflange, Luxembourg (49.513414, 6.017925). A precise location is shown on the map located on the right. - It contains **genomics**, **metabolomics**, **proteomics**, and\ - **physico-chemical** data. The code used to parse the data can be\ - found here: [GitLab] + It contains **metagenomics**, **metabolomics**, **metaproteomics**, + and **physico-chemical** data. The code used to parse the data can + be found here: [GitLab] (https://git-r3lab.uni.lu/malte.herold/laots_niche_ecology_analysis) ''') diff --git a/Source/example_1.py b/Source/example_1.py index 647ca5c..64001c8 100644 --- a/Source/example_1.py +++ b/Source/example_1.py @@ -192,17 +192,17 @@ def create_main_example_1(): col_1.info(''' This data set comes from the following paper: - **Herold, M., Martínez Arbas, S., Narayanasamy, S. et al.\ - Integration of time-series meta-omics data reveals how microbial\ - ecosystems respond to disturbance. Nat Commun 11, 5281(2020).\ - https://doi.org/10.1038/s41467-020-19006-2**. Analyzed samples\ - were collected from a biological wastewater treatment plant in\ + **Herold, M., Martínez Arbas, S., Narayanasamy, S. et al. + Integration of time-series meta-omics data reveals how microbial + ecosystems respond to disturbance. Nat Commun 11, 5281(2020). + https://doi.org/10.1038/s41467-020-19006-2**. Analyzed samples + were collected from a biological wastewater treatment plant in Schifflange, Luxembourg (49.513414, 6.017925). A precise location is shown on the map located on the right. - It contains **genomics**, **metabolomics**, **proteomics**, and\ - **physico-chemical** data. The code used to parse the data can be\ - found here: [GitLab] + It contains **metagenomics**, **metabolomics**, **metaproteomics**, + and **physico-chemical** data. The code used to parse the data can + be found here: [GitLab] (https://git-r3lab.uni.lu/malte.herold/laots_niche_ecology_analysis) ''')