Types of High Throughput Data in Bioinformatics | Bioinformatics 101

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
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[@martinowen887]

I have spent a few years now attempting to understand the field of genomics as I find it such an exciting area of science. I have watched many youtube presentations - some good, some OK but many just not hitting the mark for various reasons. As an ex teacher, I am very impressed with the level and breadth of your knowledge but more importantly how you put your knowledge across in your presentations. You have an excellent set of tutorials across such a broad range of topics!!

[@Bioinformagician]

Thank you very much :)

[@AyrodsGamgam]

that's what happens when one is excellent in both biology and bioinformatics. Most Bioinfo teachers I met are good with computers but understand nothing in biology. Big issue! THis lady knows her stuff and it's great she shares with us. Thanks.

[@proneyex]

Really good work. It would be helpful to beginners if there were demos on use of tools such Samtools, Bedtools, Python pandas and R - how bioinformaticians build analysis pipelines..? Thank you for the information

[@BilalAhmad-gb7ui]

It would be great if you could upload the complete data analysis tutorials of Chipseq, WGS, and Hi-C, please.

[@Bioinformagician]

That's the plan! Please stay tuned :)

[@BilalAhmad-gb7ui]

@@Bioinformagician Thank you. I appreciate that.

[@hursed]

Very informative video as always! Your explanations are great and very clear, thank you very much!

[@dusummer4617]

so clear! It’s so great!

[@fabzy4L]

I appreciate these videos very very much. Thank you.

[@smart9924]

This is a great video! Thanks a lot 👍

[@ishakyusuf4616]

move forward, your videos are amazing. it is so helpful 🤩

[@amrzitawi5733]

Glad I found this channel! Keep the hard work 🙂

[@7x925]

Well explained in details steps by steps from basic!! would love to hear about eQTL next time pls.

[@Bioinformagician]

Noted! Will definitely plan on talking about it soon.

[@akashdas3003]

Thanks. One of the best and genuine resources Online. I am greatly benefited.

[@magdalenariosromero985]

It would be awesome if you could explain how to perform multi-omics data integration. Thank you so much for the tutorials! You are amazing!

[@Bioinformagician]

I will surely plan a video on it! Thanks for the suggestion :)

[@amarjeetyadav5661]

very nice lecture

[@hossainadamzad5907]

Thanks a lot for your help.
May I ask you which type of data a beginner should start with???

[@nehabaliyan5558]

Can you please make the vedio on bacterial genome sequence analysis….

[@mitrabinda1992]

Whole exon sequencing is better or Transcrptome sequencing?

[@kruthiiirao]

❤❤❤