Chisquare is actually a continuous distributions and there are some approach of using poisson based distribution for modeling the RNA-Seq data (https://bmcbioinformatics.biomedcentr...

Most plot you saw here are actually done in RStudio :)

With how well the previous relaxing video is received from the public, I have decided to make another video in the style. but i would say this is possible the most complicated video i have ever made in term of technicality and the work required for the visual presentation of the results. Most of the distribution are actually coded from scratch and animated by myself in R Studio.

Host: Brandon Yeo
Writer: Brandon Yeo
Editor: Brandon Yeo

Multiple Stock video from
1. Mixkit （https://mixkit.co/）
2. Pixabay Video (https://pixabay.com/)

Imaged used in this video
1. Poisson Disturbution
Skbkekas, CC BY 3.0 https://creativecommons.org/licenses/..., via Wikimedia Commons

2. Poisson Equation
https://en.wikipedia.org/wiki/Poisson...

3. Binomial Dist
Cflm001, CC BY-SA 3.0 https://creativecommons.org/licenses/..., via Wikimedia Commons

4. Negative binomial Equation
https://www.tutorialspoint.com/statis...

image taken DEseq2 Documentation:
https://bioconductor.org/packages/rel...
Love, M.I., Huber, W., Anders, S. (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology, 15:550. 10.1186/s13059-014-0550-8

Feel free to download the script and try it our for yourself. :)

Script used in this video
https://github.com/brandonyph/LiquidB...

Email: [email protected]
Website: https://www.liquidbrain.org/videos
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