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mbbu / Bioinformatics_Internship_2020

Managing the Bioinformatics Internship, 2020.
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Project 1: RNA-Seq data processing and gene expression analysis #8

Open Fnyasimi opened 3 years ago

Fnyasimi commented 3 years ago

Kindly comment on this issue why you are interested in this mini-project

fredrickkebaso commented 3 years ago

RNA Seq is robust (involves sequencing of the transcriptome) this requires deep NGS technology. With RNA seq one can make several inferences such as: • Deferentially expressed transcripts • Post transcriptional modifications. • Single Nucleotide Polymorphisms(SNPs) . • Alternatively spliced gene transcripts • Identification of microbes. All these analysis requires various bioinformatics skills and tools , these would enable me to put into practice the skills I have already acquired as well as research on other tools and also familiarize myself with the analysis pipelines and workflows in RNA Seq.

LukaLmelias commented 3 years ago

I am interested in gene expression studies and transcriptomics. RNA seq data has been used to identity differences in genes expressed by cancer cells and healthy cells. I want to specialize in this area of bioinformatics.

I also did 16s-metagenomics in the paper that I was previously trying to reproduce, in which I have obtained basic understanding of 16s data analysis. Therefore I now need to understand RNA seq before I complete my internship.

virginiah894 commented 3 years ago

I am interested with RNA seq beacause my research interest is in gene expression and mutations.Developing workflows and understanding tools used ln RNA seq will be of greater importance in my path towards gene editing using CRISPR.

chifwete commented 3 years ago

RNA-seq allows us discover more on the transcriptome. This knowledge is actually key if we are to connect the information on our genome with its functional protein expression. RNA-seq can tell us which genes are in a cell and their level of expression. This also allows us to deeply understand the biology of a cell and assess changes that may indicate disease. One is also able to compare differences in organisms eg. disease and health state,which may be due to different external environmental conditions. The fact that using RNA-seq will enable me learn this much and its currently the novel tool in gene expression analysis makes me interested in it.Further,The experience that I will get from executing the mini-project will also be important in handling similar future RNA-seq projects.