Welcome to the 3rd episode of Bytes of Bio, Gene Enrichment!

Sigurd deserved better TT ^ TT

Also, can you tell that the placeholder title made it through?

Let’s go through the main points we have discussed!

-Goal: calculate the possibilities that unknown genes have a particular function.
-Database: the training set for the program to match the function to the gene.
+Gene Ontology: a graph showing relationships between biological phrases.
+KEGG pathway: demonstrates high-level functions of the biological systems.
-Tests for enrichment: use statistics to calculate the possibilities.
+Hypergeometric Test.
+Chi-square Test.
+Use statistics to code the programs.
-Factors affecting accuracy:
+Combine various methods other than statistics.
+Narrow down data input range.
+Use p-values as a ranking figure.

Reference links mentioned throughout the podcast:

Case studies for this episode:
+Gene ontology & hypergeometric test, lecture by Simon Rasmussen (http://www.cbs.dtu.dk/chipcourse/biosys/Lectures/GO_BioSys08.pdf)
+Gene List and Enrichment Analysis, lecture by George Bell (http://barc.wi.mit.edu/education/hot_topics/enrichment/Gene_list_enrichment_Mar10.pdf)
-Gene Ontology example 1 (https://media.springernature.com/lw785/springer-static/image/chp%3A10.1007%2F978-1-4939-3743-1_3/MediaObjects/330277_1_En_3_Fig1_HTML.gif)
-Gene Ontology example 2 (https://www.frontiersin.org/files/Articles/137043/fninf-10-00014-HTML-r1/image_m/fninf-10-00014-g004.jpg)
-KEGG Pathway example (https://www.genome.jp/kegg/pathway/hsa/hsa04150.png)

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