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GRAND-SLAM analysis of HCMV infection of ZAP knockout cells from Gonzalez-Perez et al., mBio 2021 (https://doi.org/10.1128/mbio.02683-20) - MaRDI portal

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GRAND-SLAM analysis of HCMV infection of ZAP knockout cells from Gonzalez-Perez et al., mBio 2021 (https://doi.org/10.1128/mbio.02683-20)

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DOI10.5281/zenodo.5909576Zenodo5909576MaRDI QIDQ6690142

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 27 January 2022

Copyright license: No records found.



This is the processed SLAM-seq data from Gonzalez-Perez et al., mBio 2021 (https://doi.org/10.1128/mbio.02683-20). The zip file contains the full output from the processing pipeline (including the mapped reads, the scripts to run the pipeline and the output). The json file is required if you want to start from scratch. The file sars.tsv.gz is the GRAND-SLAM output table. To generate the GRAND-SLAM output yourself, first prepare the human (ensembl v90) and the HCMV genome (EF999921). Then run: gedi -e Slam -double -reads sars.cit -genomic h.ens90 HCMV_TB40_BAC4 -prefix grandslam_du/zap_bac4 -plot -progress [Zum Verschieben anwhlen und ziehen] To generate the cit file you have to modify the first lines in start.bash to match the paths on your file system, and then run it. You can also start from scratch (i.e., the json file): Prepare the human genome (ensembl v90), the HCMV genome (EF999921), the human rRNA sequence (U13369.1), and the Mycoplasma hominis sequence Prepare the joint STAR index for the human and virus genome by calling gedi -e GenomicUtils -p -m star -g h.ens90 HCMV_TB40_BAC4 Modify the starindex entry in the json file to match your file system Run: gedi -e Pipeline -r parallel -j zap_bac4.json rnaseq_mapping.sh report.sh grandslam.sh Software versions: gedi toolkit 1.0.2 GRAND-SLAM 2.0.5a Trimmomatic 0.39 STAR version 2.5.3a






This page was built for dataset: GRAND-SLAM analysis of HCMV infection of ZAP knockout cells from Gonzalez-Perez et al., mBio 2021 (https://doi.org/10.1128/mbio.02683-20)