Whole Genome Variant Calling @ Linux

This course will untangle the mysteries of students stand alone on the boundaries of molecular genetics and bioinformatics, they will come to know that why life sciences researchers are direly needed computation skills, on which type of biological data computation will apply, how Linux operating system compute multi-omics problems, and how the fields of bioinformatics and computational biology are evolving to circumvent modern biology problems.

In the time to come, biologists will not restrain to the wet-labs only, so let's come and modify yourselves with bioinformatics data science tools for analysis, visualization and inferring crux of your big genomic datasets. This course is the right stop, that will help you to overwhelm your transition from wet to dry-labs and facilitate you to analyze the whole genome NGS data for variant calling... that speaks loud around.

Other courses of the same author are also available on molecular docking using MOE, whole-genome variant calling using Galaxy, differential gene expression analysis using RNA-Seq, and genomic selection signature pipelines using pooled-heterozygosity statistics on NGS pooled-seq datasets.

For further readings, you may visit the author's google scholar page for different bioinformatics data analysis pipelines with their application in human, animal, and microbial studies.

"Decode Genomics" webpage may also be explored for hands-on training in molecular diagnostics for local students/enthusiasts and interactive online courses in NGS data analysis may also be scheduled.