I am a newbie in bioinformatics and am coming from computer science angle, where developing models/algorithms/programs to solve biological problem is our focus. I want to ask if there is any data input to programs apart from DNA and Protein sequence, especially in developing Gene Regulatory Network or any Biological Process Network
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Have a look at microarray and/or RNAseq datasets (e.g., via GEO). You can then extract expression covariation metrics and construct convenient networks (biological process networks would likely be subnetworks thereof). Those types of datasets would also allow construction of regulatory networks, depending on the dataset.
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by seqadmin
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...-
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04-22-2024, 07:01 AM -
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by seqadmin
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...-
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04-04-2024, 04:25 PM -
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