№ files_lp_4_process_1_34910
Supplementary methodological source detailing command-line procedures, scripts, and analytical steps used for processing and interpreting metatranscriptomic sequencing data from microbial fuel cell experiments.
Type of document: Supplementary material
Associated study: Microbial Community and Metabolic Activity in Thiocyanate Degrading Low Temperature Microbial Fuel Cells
Supplement file: Supplemental File 1
Scientific field: Microbial ecology; metatranscriptomics; bioinformatics
Research topic: Microbial communities and metabolic activity in thiocyanate-degrading low-temperature microbial fuel cells
Authors: Gaofeng Ni; Sebastian Canizales; Elias Broman; Domenico Simone; Viraja R. Palwai; Daniel Lundin; Margarita Lopez-Fernandez; Tom Sleutels; Mark Dopson
Affiliated institutions: Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, Sweden; Wetsus, European Centre of Excellence for Sustainable Water Technology, Leeuwarden, The Netherlands
Correspondence: Gaofeng Ni ([email protected]
Note: )
Present address (Sebastian Canizales): Wetsus, European Centre of Excellence for Sustainable Water Technology, Leeuwarden, The Netherlands
Present address (Margarita Lopez-Fernandez): Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
Content: Command-line workflows, scripts, and analytical steps for metatranscriptomic data processing
Methods included: Quality control, read filtering, phylogenetic placement of 16S rRNA reads, functional annotation, relative abundance analysis, and differential gene expression analysis
Software and tools mentioned: FastQC; Trimmomatic; SortMeRNA; PaPaRa; RAxML-EPA; DIAMOND; MEGAN; R; edgeR; DESeq; Trinity
Data types: Metatranscriptomic sequencing reads; 16S rRNA reads; mRNA reads
Reference databases: SILVA rRNA databases; NCBI NR protein database; InterPro to GO database
Price: 8 / 10 USD
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