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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...
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...
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...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Derive Greater Insights and Accelerate your Research Using Bioinformatic Tools! CREx is an NIH Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Spotlight The NIH Lab Managers Working Group have developed a new NIH-wide database of cold Read More...
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Back Services: Biophysics Facility offers Octet as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes a full analysis of a Read More...
Frederick , MD
Core Facility
The Frederick Sequencing and Genomics Core (FSGC) was established through the integration and consolidation of the former Sequencing Facility (SF) and the Genomics Technology Laboratory (GTL). The new FSGC eliminates redundancy and provides cutting edge Read More...
Bethesda, MD
Trans NIH Facility
The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...
Research Training Park, NC
Core Facility
Trans NIH Facility
The NIH Metabolomics Consortium (NIH-MC) is a shared research resource that performs metabolomics analysis (and related small molecule research) for investigators at all Institutes and Centers across the NIH Intramural Research Program. The NIH-MC is Read More...
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Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols. This service is intended for the occasional users of this system. Researchers who expect to use this instrument Read More...
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Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols. This service is intended for the occasional users of this system. Researchers who expect to use this instrument Read More...
Bethesda, MD
Core Facility
The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...
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Bioinformatics
Quantitation Counting as a measure of Expression Most RNASEQ techniques deal with count data. The reads are mapped to a reference and the number of reads mapped to each gene/transcript is counted Read counts Read More...
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Bioinformatics
10/08/2024 - Mass spectrometry is a powerful tool for analyzing protein regulation and function. This workshop, divided into two parts, will explain the fundamentals of mass spectrometry experiments and how proteins are identified. We will further Read More...
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Bioinformatics
Reads not perfect Duplicate molecules (PCR artifacts skew quantitation) Multimapped reads - Some regions of the genome are thus classified as unmappable Aligners try very hard to align all reads, therefore fewest artifacts occur when Read More...
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Bioinformatics
Aligners typically align against the entire genome and provide a output where the results can be visibly inspected (bam file via IGV). The must be used for detecting novel genes/transcripts. Quantitation of aligned reads Read More...
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Bioinformatics
A typical RNASEQ experiment involves several steps, only one of which falls within the realm of bioinformatics. Namely the Data Analysis step. Experimental Design What question am I asking How should I do it (does Read More...
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Bioinformatics
Most RNASEQ techniques deal with count data. The reads are mapped to a reference and the number of reads mapped to each gene/transcript is counted Read counts are roughly proportional to gene-length and abundance Read More...
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Bioinformatics
There are a number of specific solutions that have been devised to address the issues created by attempting to map mRNA to DNA genomes. Each of these has its advantages and disadvantages. Align against the Read More...
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Bioinformatics
05/17/2022 - Metabolomic and multi-omic data are increasingly being collected in basic, preclinical, and clinical research studies. Interpretation of these data though remains challenging. Common challenges include the difficulty in identifying metabolites and assigning unique identifiers, Read More...
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Bioinformatics
02/08/2021 - Presenter: Dr. Marjan Gucek, director for the NHLBI Proteomic Core Summary: “Proteomics Core provides access to mass spectrometry and gel based proteomics for identification and quantitation of proteins and their post-translational modifications (PTM). Our Read More...
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Bioinformatics
04/16/2026 - The ability to measure gene expression levels for individual cells (vs. pools of cells) and with spatial resolution is crucial to address many important biological and medical questions, such as the study of stem Read More...
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Bioinformatics
Alignment RNASeq Mapping Challenges The majority of mRNA derived from eukaryotes is the result of splicing together discontinuous exons, and this creates specific challenges for the alignment of RNASEQ data. Mapping Challenges Reads not perfect Read More...
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Bioinformatics
RNA-SEQ Overview What is RNASEQ ? RNA-Seq (RNA sequencing), uses next-generation sequencing (NGS) to reveal the presence and quantity of RNA in a biological sample at a given moment. (Wikipedia) Strictly speaking this could be any Read More...
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Bioinformatics
03/11/2021 - Abstract: Targeted quantitative proteomics using multiple/parallel reaction monitoring (MRM, PRM) is already being applied by many researchers in biology, biochemistry, and clinical research laboratories. These methods allow rapid and precise quantitation of proteins Read More...
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Bioinformatics
03/20/2017 - BTEP Workshop on RNA-Seq Data Analysis (2-day) This 2-day workshop, which includes both lecture and hands-on components, will cover the fundamentals of and best practices for RNA-Seq Data Analysis. Learn everything from experimental design Read More...
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Bioinformatics
Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...
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Bioinformatics
Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took place from September 13th, 2022 to December 13th, 2022. Question 1 : Normalization - when to Read More...
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Bioinformatics
BTEP Bioinformatics for Beginners (September 13th, 2022 - December 13th, 2022) Questions and Answers Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took Read More...