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Count matrices plotting

Hi there! I am new in bioinformatics (dummy) and i have 13 count matrices from this article (https://diabetesjournals.org/diabetes/article/69/10/2157/16135/Integrated-Skin-Transcriptomics-and-Serum) and i need to highlight the IL33 and IL1RL1 genes expression. How should i parse these txt files? In the internet guides i have only found how to parse mtx or csv files. As i understood, i should read these files by pandas and than remake them into another format. Maybe you can advice me some nice tutorials? AI cant help me :( Thank you! dataset link: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE143735

count matrix scanpy

1 answer

Don't know if there is an automated way of doing it, but you can always import these counts files into Excel. They are tab-delimited files and at least on a PC they import directly. Once you open them, search for ENSG00000137033 (IL33) and ENSG00000115602 (IL1RL1). Numbers on the far-right (7th column) contain counts for each of these genes.

Thanks for the reply! One man said my this is bulk data. Is he right?

Based on the GEO link you included above that is correct.

Bulk RNA-seq analysis revealed extracellular matrix (ECM) related genes up-regulated in Healers, including MMP2 as well as implication of IFNy and IL13 as upstream regulators.

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