Reverse Engineering Directed Gene Regulatory Networks from Transcriptomics and Proteomics Data of Biomining Bacterial Communities
DownloadSupplementary files for the submission:
Reverse Engineering Directed Gene Regulatory Networks from
Transcriptomics and Proteomics Data of Biomining Bacterial
Communities with Approximate Bayesian Computation and
Steady-State Signalling Simulations
DOI: 10.15490/fairdomhub.1.investigation.286.1
Created at: 17th Apr 2019 at 17:49
Supplementary files
Proteomics and transcriptomics data tables, sample IDs and description, source code
RNA data
Data derived from RNAseq
TPM counts
TPM counts for protein coding genes, alongside functional annotations
- ALL_tpm_with_funcats.tsv
Sample information
Information for RNA and protein samples and cultures they were derived from.
- Sample_Overview.xlsx
Proteome data
Data derived from protein samples
LFQ intensities
LFQ intensities derived from proteomics measurements
- raw_lfqs_merged_nonfiltered_funcats.tsv
Sample information
Information for RNA and protein samples and cultures they were derived from.
- Sample_Overview.xlsx
Simulations for network engineering
Scripts for running network simulations
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Created: 17th Apr 2019 at 17:49
Last updated: 17th Apr 2019 at 17:50
