In China, the nevogene usually send a QC report first, which contains the quality of your library. And will ask whether you would like to sequence them based on the QC results. If you confirmed to sequence them, the company will process your sequening and send you the raw data after several weeks.
Hello scientific community. After some pre-treatments, I have RNA quantification analysis results for resistant and susceptible plant variety against a pathogen.
It is my first experience with such data and my basics in not bioinformatics.
I have GO and KEGG bar and dot graphs, pathways, venn diagrams, heatmaps, volcano plots, etc. I have learned online and from youtube and publications as well how to read and understand them.
Now I am stuck
1. Which graphs should i choose for my thesis and publication?
2. How to find out differently expressed genes or novel genes from data?
3. Top 10 up/down-regulated genes in resistant and susceptible tomato lines?
4. How to find out top Top five DEGs annotated GO terms and defined KEGG pathways in susceptible and resistant plants?
Can anyone guide me in detail?
I understand that i have to see log2foldchange, pvalue, adj-pvalue for selecting but still stuck, confused and worried.