Bethesda, MD
Collaborative
The Mass Spectrometry Unit of the Collaborative Protein Technology Resource uses mass spectrometry for the study of proteins. We perform collaborative experiments with CCR researchers in areas such as: interactomes, quantitative global proteome analyses, and Read More...
Frederick, MD
Core Facility
Protein and Metabolite Characterization Core (PMCC), formerly known as the Protein Characterization Lab (PCL), offers various technologies to CCR investigators to characterize proteins and metabolites. The core develops and applies state-of-the-art analytical technologies, primarily mass Read More...
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Mass Spectrometry Section of the Collaborative Protein Technology Resource (Bldg. 37) Core Capabilities: Identification of proteins in complexes, organelles, subcellular fractions, or fluids. Global relative protein quantitation. Quantitation by isotopic labeling of cells in culture (SILAC) Read More...
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Bioinformatics
A search may take place in nucleotide space, protein space or translated spaces where nucleotides are translated into proteins. Searches may implement search “strategies”: optimizations to a specific task. Different search strategies will produce different Read More...
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Bioinformatics
After the merged expression counts table has been created, we can proceed with differential expression analysis. Let's use DESeq2 again for this. But first, let's move counts.csv (the merged salmon expression table) Read More...
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Bioinformatics
When using SingleR, the 3 primary parameters are the experimental dataset, the reference dataset, and the labels being used. Continuing with the main labels of the MouseRNASeq dataset on the full dataset looks like this: annot = Read More...
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Bioinformatics
1. Introduction and Learning Objectives This tutorial has been designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples that Read More...
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Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinformatics environment and create a directory for today's work. conda activate bioinfo mkdir blast cd blast What is Read More...
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Bioinformatics
Lesson 16: RNA sequencing review and classification based analysis Before getting started, remember to be signed on to the DNAnexus GOLD environment. Review In the previous classes, we learned about the steps involved in RNA sequencing Read More...