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Hello, I need help getting my data into Bioconductor and comparing differential gene expression (from a microarray) using several packages. I'm looking for someone that could tutor me (paid), via Skype or similar. I do not have access to any courses or other people using R, and although I've taught myself the basics, I'm stuck when it comes to the actual analyses and getting the data formatted and loaded into Bioconductor packages. Can anyone help, someone who has experience with these analyses? My data is all GeneSpring outputs, normalised expression values. Looking to find KEGG annotations for pathway analysis using R/GAGE, esset.grp to find significant pathways and essgene functions in GAGE to find non-redundant pathways. Also using ggplot2, but I could probably figure out that myself once I have the required initial outputs.
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The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist on Modified Bases...Yesterday, 07:01 AM -
Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...04-04-2024, 04:25 PM