add acknowledgements

README.md

@@ -57,14 +57,6 @@ This shows you the rules of all subworkflows. Omit `-n` and specify the number o
 snakemake aberrantExpression --cores 10
 ```
 
-## Citation
-
-If you use DROP in research, please cite our [manuscript](https://www.nature.com/articles/s41596-020-00462-5).
-
-Furthermore, if you use the aberrant expression module, also cite [OUTRIDER](https://doi.org/10.1016/j.ajhg.2018.10.025); if you use the aberrant splicing module, also cite [FRASER](https://www.nature.com/articles/s41467-020-20573-7); and if you use the MAE module, also cite the [Kremer, Bader et al study](https://www.nature.com/articles/ncomms15824) and [DESeq2](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-014-0550-8).
-
-For the complete set of tools used by DROP (e.g. for counting), see the [manuscript](https://www.nature.com/articles/s41596-020-00462-5).
-
 ## Datasets
 The following publicly-available datasets of gene counts can be used as controls.
 Please cite as instructed for each dataset.
@@ -82,3 +74,15 @@ Please cite as instructed for each dataset.
 * 125 strand specific blood, build hg19, Baylor College of Medicine: [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3963470.svg)](https://doi.org/10.5281/zenodo.3963470)
 
 If you want to contribute with your own count matrices, please contact us: yepez at in.tum.de
+
+## Citation
+
+If you use DROP in research, please cite our [manuscript](https://www.nature.com/articles/s41596-020-00462-5).
+
+Furthermore, if you use the aberrant expression module, also cite [OUTRIDER](https://doi.org/10.1016/j.ajhg.2018.10.025); if you use the aberrant splicing module, also cite [FRASER](https://www.nature.com/articles/s41467-020-20573-7); and if you use the MAE module, also cite the [Kremer, Bader et al study](https://www.nature.com/articles/ncomms15824) and [DESeq2](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-014-0550-8).
+
+For the complete set of tools used by DROP (e.g. for counting), see the [manuscript](https://www.nature.com/articles/s41596-020-00462-5).
+
+## Acknowledgements and Funding
+
+The DROP team is composed of members from the Gagneur lab at the Department of Informatics and School of Medicine of the Technical University of Munich (TUM) and The German Human Genome-Phenome Archive (GHGA). The team is funded by the German Bundesministerium für Bildung und Forschung (BMBF) through the e:Med Networking fonds AbCD-Net, Medical Informatics Initiative CORD-MI, and ERA PerMed project PerMiM. We would like to thank all the users for their feedback.