The necessary tools in genomic data analysis

Bag code: SCST3039024 Days: 3 days "Today’s training: 3 hours" Time: 9 training hours Targeted participants: scientific researchers, doctors, and everyone interested in genetic diseases and genetic origins Program overview: This program revolves around the tools necessary for genomic data analysis (definition - types - characteristics - objectives - positives - negatives .. etc). It will be presented through the following units: First training unit: Genomic data and bioinformatics Second training unit: Blast algorithm and next-generation sequencing Third training unit: Steps of genomic data analysis Program objectives: - To enable the trainee to understand the concept of genomic data - To explain bioinformatics and its impact on genomics - To discuss the Blast algorithm and how we can use it - To list next-generation sequencing techniques - To summarize the importance of genomic data analysis using R - To follow the steps of genomic data analysis in R Program topics: First training unit: (Genomic data and bioinformatics): What is meant by genomic data? Bioinformatics and its impact on genomics Second training unit: (Blast algorithm and next-generation sequencing): Blast algorithm and how we can use it Next-generation sequencing techniques Third training unit: (Steps of genomic data analysis): Genomic data analysis using R Steps of genomic data analysis in R Contents of the package: PowerPoint 98 Trainer’s guide 79 Trainee’s guide 69 Profile file 4 Activities package 6 Mind maps 1 Images 19 Videos 6 References 6 Trainee data form 3 Brochure 1 Contents of the package 12 Training package model: Kindly click here to view the training package model