I recently tried to annotate two assembled metagenome samples derived from the same sample type (both samples come from the same type of material) using blastp and the metagene gene predictor tool (via WebMGA). I get a similar number of ORFs predictions for both samples. However after I input these ORF predictions into blastp (same settings for both samples) the number of blastp outputs for one sample were much higher than for the other sample. Why would I get more blastp hits for samples with a similar number of ORFs predicted?
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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...-
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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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