Roary pan genome tutorial | Bioinformatics tutorial on Pangenome analysis of bacterial genomes скачать в хорошем качестве

Roary pan genome tutorial | Bioinformatics tutorial on Pangenome analysis of bacterial genomes

A step-by-step process of performing pangenome analysis using the tools Prokka and Roary. On bacteria genomes *Thank me with a Coffee*: https://www.buymeacoffee.com/informat... *Tip me on Paypal*: https://www.paypal.com/paypalme/thein... *One-on-One coaching*: https://calendly.com/bioinformaticscoach *Consultation: https://calendly.com/bioinformaticscoach Reach out bioinformaticscoach@gmail.com Materials ________________________________________________________________________________________________ How to install anaconda Linux    • Install , Configure and Run Anaconda in  a...   MacOS    • How to Install and Run Anaconda in  MacOS ...   - GUI Installer    • Install, Configure and Run Anaconda in ANY...   - Command line installer Roary github page https://github.com/sanger-pathogens/R... python script:https://github.com/sanger-pathogens/R... Data for the S.aureus strains can be downloaded from here https://www.ncbi.nlm.nih.gov/nuccore/... V521 strain https://www.ncbi.nlm.nih.gov/nuccore/... M48 strain https://www.ncbi.nlm.nih.gov/nuccore/... P10 strain https://www.ncbi.nlm.nih.gov/nuccore/... AR465 strain https://www.ncbi.nlm.nih.gov/nuccore/... NRS1 strain https://www.ncbi.nlm.nih.gov/nuccore/... R50 strain Chapters 00:10 Outline 01:33 Explanation and importance of pangenome analysis 03:04 PC Requirement 04:02 Add conda channels 05:19 Create conda environment and install tools 06:36 Activate conda environment 07:15 Set working directory 07:57 Download roary_plot.py python script : https://github.com/sanger-pathogens/R... 09:40 Install python dependencies 13:44 Download genome sequences 17:31 Perform genome annotation using prokka 24:29 Perform pangenome analysis using roary 33:52 Roary output 34:04 Interpret results 34:09 Gene presence and absence file 36:19 Pangenome matrix 38:17 Pangenome pie chart #bioinformatics #genomics #bioinformática #microbiology #datascience