Supplemental Files

The main objective of the ERANET proposal Systems Biology Applications - ERASysAPP (app = application = translational systems biology) is to promote multidimensional and complementary European systems biology projects, programmes and research initiatives on a number of selected research topics. Inter alia, ERASysAPP will initiate, execute and monitor a number of joint transnational calls on systems biology research projects with a particular focus on applications - or in other words so called ...

Biomining is a biotechnological process carried out in many parts of the world that exploits acid loving microorganisms to extract metals from sulphide minerals. One industrial biomining method is called ‘heap bioleaching’ where typically copper containing minerals are piled into very large heaps, acid and microorganisms are added to the top and the soluble metal is collected at the heap base.

The role of the different types of microbes in the process is to speed up metal solubilisation by oxidising ...

The raw data generated in the scope of the SysMetEx project for RNAseq, proteomics, and imaging analysis. The data was generated on single and mixed species cultures of A. Caldus, L.ferriphilum, and/or S.thermosulfidooxidans. Raw RNA data is combined in an ENA umbrella study summarising all short read data generated in the project. Raw proteomics data is provided for distinct conditions at the pride repository. Imaging data is provided for distinct conditions at a zenodo repository.

Supplemental files for the publication

Links to additional gitlab repositories

Overview of the quality control for the RNAseq short read data after quality filtering of the reads

Overview for quality control of mapping statistics, after mapping processed reads to reference genomes

Repository for code used in data analysis (mainly for RNAseq) and for generating summary tables and overviews.

Files for the reference genomes utilized in the analysis are summarised in this repository.

Overivew of RNAseq and proteomics samples with respective accessions to access the raw data on ENA or PRIDE respectively.

Parameters used in maxQuant analysis

Overview of the quality control for the RNAseq short read data before quality filtering of the reads