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This is a simplified walk through of different types of high throughput data commonly used in bioinformatics analysis. In this video, I go over different data collected under Genome, Epigenome, Transcriptome, Proteome, Metabolome and Metagenome. Further, I discuss what each data captures, what questions can be answered using each data type and commonly performed analysis. I hope you find this video helpful! I look forward to your comments in the comment section below! Chapters 0:00 Intro 0:50 Central Dogma - Data collected at various levels 3:03 Genome: What information does it capture? 4:01 Technologies to study genome: Whole Genome Sequencing, Whole Exome Sequencing and Targeted Sequencing 5:09 Genome: What questions it can answer and commonly performed analysis 5:33 Epigenome: What information does it capture? 7:24 Technologies to study epigenome: ChIP-Seq, ATAC-Seq Methyl-Seq, Hi-C 11:09 Epigenome: What questions it can answer and commonly performed analysis 11:37 Transcriptome: What information does it capture? 12:54 Technologies to study transcriptome: Microarray and RNA-Seq 14:45 Transcriptome: What questions it can answer and commonly performed analysis 15:18 Proteome: What information does it capture? 16:47 Technologies to study proteome: Protein Array, MS, Chromatography 16:59 Proteome: What questions it can answer and commonly performed analysis 17:27 Metabolome: What information does it capture? 18:55 Metabolome: What questions it answers and commonly performed analysis 19:13 Metagenome: What information does it capture? 20:52 Metagenome: What questions it answers and commonly performed analysis You can show your support and encouragement by buying me a coffee: https://www.buymeacoffee.com/bioinfor... To get in touch: Website: https://bioinformagician.org/ Github: https://github.com/kpatel427 Email: khushbu_p@hotmail.com #bioinformagician #bioinformatics #wgs #wes #rnaseq #proteomics #transcriptomics #microarray #atacseq #epigenome #epigenetics #epigenetic #methylation #wgcna #coexpressionnetworks #geneexpression #scalefreenetworks #proteinproteininteractionnetworks #sequencing #coverage #samtools #depthofsequencing #samflag #sam #bam #alignment #phred #fasta #fastq #singlecell #10X #ensembl #biomart #annotationdbi #annotables #affymetrix #microarray #affy #ncbi #genomics #beginners #tutorial #howto #omics #research #biology #GEO #rnaseq #ngs #biology #beginners