Code for Tn-Seq analysis of E. faecalis MMH594. Check out the wiki more details:
- Processing, Mapping, Replication Bias Correction, and Normalization Across Replicates
- Assessing the Fitness Cost of Genes For Growth on Nutrient Rich Media
- Predicting Whether Genes Contribute to Antibiotic Resistance
All programs/scripts written in Python-3, no real installation required. Python-3 libraries used include:
- biopython
- numpy
- scipy
- pysam
For processing and mapping of sequencing data to the reference genome the following third-party tools are necessary:
- trimmomatic
- samtools
- bowtie2
- fastx_toolkit
Progams should work if the user creates and uses a conda environment from the provided yml file.