Search Results for: normal tissue tma

What is Xenium? Xenium is a high-resolution, imaging-based in situ spatial profiling technology from 10x Genomics that allows for simultaneous expression analysis of RNA targets (currently in range of 100’s) within the same tissue section. Read More...

CREx News & Updates August 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGHLIGHTS Learn more about services from the NHLBI Read More...

The Clinical Flow Cytometry Laboratory provides extensive support for NCI clinical protocols by providing diagnostic testing for leukemia and lymphoma in patients either on NCI clinical protocols or undergoing testing to determine eligibility for NCI Read More...

The Mass Cytometry Core (MCC) provides access to cutting-edge platforms and expert technical support for high-dimensional single-cell analysis and spatial proteomic profiling. A central expertise of the core is Imaging Mass Cytometry (IMC), which allows Read More...

CREx News & Updates March 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NIA Nonhuman Primate Core The NIA Nonhuman Primate Core supports multi-disciplinary translational aging projects for Read More...

CREx News & Updates February 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight ORS Division of Veterinary Resources (DVR) DVR is the central NIH lab animal support program Read More...

.row { display: flex; justify-content: space-around; align-items: flex-start; margin: 20px; } .column { text-align: center; padding: 10px; width: 30%; } .column img { display: block; margin: 0 auto; width: 150px; height: 150px; } .column strong { display: block; margin-top: 10px; } Background: Intravital microscopy (IVM) Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx NIH NeuroBioBank (NBB) The NBB provides researchers with access to human post-mortem brain tissue Read More...

The facilities at AIM are available for use by the entire NIH intramural research community. While we welcome users with any size imaging project, AIM specializes in large, yearlong (or longer), collaborative research efforts with Read More...

The Optical Microscopy Analysis Core (OMAC), formerly known as the Optical Microscopy Analysis Lab (OMAL),  focuses its research and development activities to quantitatively understand the molecular basis of three-dimensional (3D) cell organization, motility, invasion, and Read More...

The National Cancer Institute (NCI) is developing a national repository of Patient-Derived Models (PDMs) comprised of patient-derived xenografts (PDXs), patient-derived organoids (PDOrg), and in vitro patient-derived tumor cell cultures (PDCs) and cancer-associated fibroblasts (CAFs). These Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More. New Resources on CREx NIMH Human Brain Collection Core (HBCC) The HBCC obtains human brain tissue, hair, and blood Read More...

[embed]https://youtu.be/yTl1Q0D7aZ0[/embed] 10x Genomics' supports multiple cancer research areas from single nucleotide and structural variant detection to single cell whole transcriptome gene expression analysis of thousands of individual Read More...

The Division of Veterinary Resources Animal Surgery has supported large animal research and clinical care for more than 40 years. DVR surgeons provide outstanding and highly specialized large animal (rabbits, ungulates, etc.) research support in a Read More...

Many established and emerging technologies are available to CCR scientists.  This technology-rich environment makes the CCR a unique place to conduct scientific research.  Through the OSTR, the CCR continues to find Read More...

The COP evaluates novel therapies in pet dogs with cancer to improve outcomes for human patients and established the Comparative Oncology Trial Consortium (COTC), a collaborative effort of NCI and extramural comparative oncology centers at 24 Read More...

The NHLBI Transgenic Core’s main mission is to keep up with the latest advancements in genome engineering technologies and to provide state-of-the-art services to assist NIH scientists in generating genetically engineered animal models. In Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx Interested in imaging large scale biological samples?  Volume electron microscopy allows for Read More...

The PET Department, CC, functions as a core facility that supports basic, translational, and clinical research using PET. It is a vertically integrated facility, with resources to produce positron-emitting radionuclides, manufacture PET radiopharmaceuticals in a Read More...

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...

The primary objective of the Protein Technology Core (PTC) is to establish an experimental screening pipeline for single-domain antibodies termed nanobodies. Nanobodies are antibody fragments consisting of a single monomeric variable antibody domain. The PTC, Read More...

The Magnetoencephalography (MEG) Core Facility specializes in MEG, a non-invasive procedure similar to electroencephalography (EEG), and aims to support research to better understand of the functioning of the brain. Established Technologies Magnetoencephalography (MEG) is a Read More...

Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions Read More...

The Mouse Imaging Facility (MIF) is a shared, trans-NIH intramural resource for animal imaging studies. MIF provides access to state-of-the-art radiological imaging methods optimized for mice, rats, other animals, and tissue samples. MIF provides intellectual, Read More...

The OSTR offers cutting-edge technology platforms to the CCR scientific community through centralized facilities. The videos accessed through this page are designed to introduce the various scientific methodologies OSTR makes available through the cores on Read More...

Molecular Cytogenetics Core Facility facilitates the assessment of structural and numerical genomic changes in pre-cancer and cancer research models. This core provides comprehensive support for the cytogenetic analysis of cells from human and research animal Read More...

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...

The Division of Veterinary Resources’ (DVR) mission is to contribute to the advancement of NIH biomedical research programs by providing excellence in animal care, customer service, and specialized research services to support intramural research efforts. Read More...

The Antibody Characterization Laboratory (ACL) is the laboratory responsible for the development of well-characterized monoclonal antibody reagents. The NCI’s Office of Cancer Clinical Proteomics Research funds ACL as a resource to the entire cancer Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Advance your research with the NIH Mouse Imaging Facility (MIF) The NIH Mouse Imaging Read More...

The function of the SAIP is to collaborate with NCI investigators in the development of mouse models, new molecular imaging probes for early detection and therapy, monitor tumors in vivo, and perform drug efficacy studies Read More...

The Biomedical Engineering and Physical Science (BEPS) shared resource supports NIH’s intramural basic and clinical scientists on applications of engineering, physics, imaging, measurement, and analysis. BEPS is centrally located on the main NIH campus Read More...

The Chemistry and Synthesis Center (CSC) of the National Heart, Lung, and Blood Institute (NHLBI) provides IRP scientists with targeted imaging probes and chemical tools that help accelerate cell-based assays, in vivo imaging studies, and Read More...

CREx News & Updates August 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NCATS Functional Genomics Laboratory (FGL) FGL is designed to help NIH Investigators use the latest Read More...

CLIA-Certified Technologies Offered: Fragment Analysis for Micro-satellite Instability Detection, Pharmacoscan Array for Pharmacogenomics, Mutation Detection for PCR and Sanger Sequencing, DNA extraction from whole blood, saliva, FFPE tissues, buccal swabs, nails, hair, PBMCs, buffy coats, Read More...

The Spatial Imaging Technology Resource (formerly the Nanoscale Protein Analysis Section of the Collaborative Protein Technology Resource or CPTR) provides expertise and service in state-of-the-art protein analysis technologies to advance CCR research in basic discovery Read More...

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...

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...

[tabby title="Home"] About NICE-NIH Intramural CryoEM Consortium  NIH Intramural CryoEM Consortium (NICE) serves intramural investigators in all NIH IC’s. NICE provides access to state-of-the-art Titan Krios cryo-electron microscopes for atomic-resolution structure determination of Read More...

In order to meet increasing demands from both NIH intramural and extramural communities for access to a small angle X-ray scattering (SAXS) resource, the Center for Cancer Research (CCR) under the leadership of Drs. Jeffrey Read More...

The Biopharmaceutical Development Program (BDP) provides resources for the development of investigational biological agents. The BDP supports feasibility through development and Phase I/II cGMP manufacturing plus regulatory documentation. The BDP was established in 1993. We Read More...

2024 Date: Tuesday, October 15, 2024 Time and Location: 11 am EST, ZOOM (INVITATION BY LMIG LIST SERVER) Speaker: Dr. Diego Presman (U Buenos Aires) Title: “Insights on Glucocorticoid Receptor Activity Through Live Cell Imaging” Summary: Eucaryotic transcription factors ( Read More...

05/05/2025 - Insights from Scaled-up Cancer Tissue Proteomics

05/01/2025 - In this talk, Dr. Stergachis will present data on using Fiber-seq and deaminase-assisted Fiber-seq (DAF-seq) to resolve the functional impact of both germline and somatic genetic variants, as well as to identify somatic epimutations Read More...

06/25/2024 - Register for the June Emerging Technologies Seminar to hear from Dr. Dana Pe’er of the Memorial Sloan Kettering Cancer Center. She will describe new bioinformatics tools for exploring the complex tumor Read More...

06/17/2025 - Due to the growing popularity of high-plex patial proteomic and tran criptomic technique , many analy i platform have been propo ed to make en e of the re ulting data. Nonethele , mo t platform Read More...

06/17/2021 - The intrinsic stochasticity of transcription leads to gene expression variation across cells in a clonal cell population. The expression variation can translate into phenotypic variation that can persist through several rounds of cell division. Read More...

Data collected for a specific case in TCGA may have differed according to sample quality and quantity, cancer type, or technology available at the time of analysis. --- https://www.cancer.gov/ccg/research/genome-sequencing/ Read More...

04/23/2024 - Join Dr. Kai Tan of the Children’s Hospital of Philadelphia as he discusses his cutting-edge technology, CytoCommunity, for the supervised and unsupervised discovery of tissue cellular neighborhoods. CytoCommunity offers a powerful Read More...

These instructions should be followed if you are setting up the R-Studio Web environment outside the normal class hours.

We were introduced to the hcc1395 RNA sequencing data in Lesson 12 practice session . This study compared the transcriptome of hcc1395 normal and cancer cell lines so it's a normal versus tumor comparison. This dataset Read More...

Database for Annotation, Visualization and Integrated Discovery (DAVID) - practicing what we learned Learning objectives In this practice session, we will practice using DAVID. Practicing what we learned To help us apply what we learned Read More...

High resolution single cell profiling assays have provided an unprecedented view of many biological systems and processes, but the spatial context in which this biology is occurring is often crucial. Spatial profiling, including spatial transcriptomic Read More...

Normalization of gene expression estimates obtained from the quantification step is important as this will remove technical or non-biological variants in the data such as: Differences in sequencing depth between samples (ie. not all samples Read More...

07/23/2025 - This presentation will explore the next emerging stage where biobanking is characterised by being part of system - Biobanking 4.0. Biobanking has always been about data generation with tissue specimens providing the biological and genomic Read More...

12/07/2023 - This webinar will discuss and demonstrate experimental design considerations in variant analysis, including the origins of tissue samples (germline vs. somatic), whole exome (WES) or whole-genome sequencing (WGS), sample sizes and statistical power, quality Read More...

We are using the datasets below in the Qiagen IPA course. Human Brain Reference (HBR) and Univeral Human Reference (UHR) dataset Using this for the one hour lecture (from 1 - 2 pm) Find more information about Read More...

The genes that exhibit higher expression in the tumor tissue (ie. log2 fold change ≥ 1 and false discovery rate ≤ 0.05) have been subsetted into the file hcc1395_deg_chr22_up_genes.txt .

Because of its vast dynamic ranges RNASEQ data is typically log transformed in order to: provide better visualizations and to present analysis software with a more "normal distribution".

How many annotation clusters were generated using default parameters? {{Sdet}} Solution{{Esum}} 15 clusters were generated {{Edet}} Look thoroughly through the annotations, are any expected annotations and unexpected ones given that this is a tumor versus Read More...

08/21/2023 - Xena can help you answer questions like: •    Is over-expression of this gene associated with lower survival in these two cancer types? •    Is this gene differentially expressed in TCGA tumor vs GTEx normal? •    What are Read More...

06/01/2023 - CellTypist was first developed as a platform for exploring tissue adaptation of cell types using scRNA-seq semi-automatic annotations. Now it's an open source tool for automated cell type annotations as well as a  Read More...

These instructions should be followed if you are setting up the R-Studio Web environment outside the normal class hours. For instructions about using the resource during class hours follow the instructions found in the document & Read More...

These instructions should be followed if you are setting up the R-Studio Web environment outside the normal class hours. For instructions about using the resource during class hours follow the instructions found in the document & Read More...

The identification of cell types in single cell genomics data (cell type annotation) can provide new insights into cellular identities, heterogeneity, and functional roles. Cell type annotation is challenging Read More...

05/03/2021 - Abstract: We will discuss technical advantages of a personalized and tumor-informed multiplex PCR next generation sequencing assay, called Signatera™, that enables a sensitive, specific, and dynamic detection of molecular disease burden in cell-free DNA ( Read More...

10/29/2025 - The Buenrostro lab is broadly dedicated to advancing our knowledge of gene regulation and the downstream consequences on cell fate decisions. To do this, the Buenrostro lab develops new technologies utilizing molecular biology, microscopy Read More...

03/26/2025 - Developing artificial intelligence (AI) schemes to assist the clinician towards enabling precision medicine approaches requires development of objective markers that are predictive of disease response to treatment or prognostic of longer-term patient survival. The Read More...

02/18/2025 - This class will introduce basic experimental and analytical considerations for bulk RNA sequencing, a technique that is used to profile gene expression at the tissue level. Information taught serves as the foundation for participants Read More...

07/17/2024 - Dear Colleagues,   Please join us on Wednesday, July 17, 2024, when Dr. Olivier Gevaert from Stanford University will discuss leveraging data at different scales for personalized diagnosis, prognosis, and therapy in the fields of Read More...

06/18/2024 - The Cancer Genome Atlas (TCGA) was a landmark cancer genomics program that molecularly characterized over 20,000 primary cancer and matched normal samples spanning 33 cancer types. This resulted in a massive open-source dataset that continues to Read More...

Differential expression analysis is the process of identifying genes that have a significant difference in expression between two or more groups. For many sequencing experiments, regardless of methodology, differential analysis lays the foundation of the Read More...

In addition to the Heatmap and the FeaturePlot shown previously, two other options easily accessible through Seurat are the Dot Plot and Violin Plot. The dot plot can visualize relative expression level and expression fraction. Read More...

In this tutorial, we are using data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . The raw count matrices are Read More...

05/23/2024 - An exciting opportunity at the intersection of the biomedical sciences and machine learning stems from the growing availability of large-scale multi-modal data (imaging-based and sequencing-based, observational and perturbational, at the single-cell level, tissue-level, and Read More...

02/28/2024 - In this seminar, you'll learn about the somatic variant caller named Lancet. This accurate, open-source tool leverages local assembly and joint analysis of tumor-normal, paired, high-throughput sequence data. New York Genome Center& Read More...

11/29/2023 - In this seminar, you'll learn about the somatic variant caller named Lancet. This accurate, open-source tool leverages local assembly and joint analysis of tumor-normal, paired, high-throughput sequence data. New York Genome Center& Read More...

To help us apply what we learned during the lesson, we are going to use DAVID to obtain some functional annotation information on upregulated genes in the HCC1395 dataset. Recall that the HCC1395 dataset is Read More...

This tool was created and is maintained by the Laboratory of Human Retrovirology and Immunoinformatics at Frederick National Lab. DAVID is used for functional analysis. Given an input gene list, DAVID will inform us of Read More...

This tool was created and is maintained by the Laboratory of Human Retrovirology and Immunoinformatics at Frederick National Lab. DAVID is used for functional analysis. Given an input gene list, DAVID will inform us of Read More...

Lesson 14 Practice Objectives Here, we will practice using the Integrative Genome Viewer (IGV) to visualize the hcc1395 RNA sequencing alignment results. About the data and launching IGV We were introduced to the hcc1395 RNA sequencing Read More...

Which reference genome are we using in this IGV session to view the alignment results for samples hcc1395_normal_rep1 and hcc1395_tumor_rep2? On what chromosome are the sequencing data mapping to? {{Sdet}} Solution{{ Read More...

Provides a gene-centric view which lists the genes and their associated annotation terms... -- DAVID help documents See https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717906/ for difference between pathway and network analysis DAVID Read More...

Creates a local library of R packages copying what you used from your project. The primary functions and workflow is as follows: renv::init() initialize the project to be used with renv and creates a Read More...

05/31/2023 - Please join us on May 31 when Harvard University’s John Quackenbush, Ph.D., will present “ Why Networks Matter: Embracing Biological Complexity. ” Dr. Quackenbush will share multiple examples illustrating the importance of network models. He Read More...

To start the application, select " Practicing R - Outside of Class App ". Then follow these steps: Step 1: Under Analysis Settings , enter your name in the Execution Name field. Step 2: Change Priority from " Read More...

DNAnexus Outside of Class Setting up the R-Studio environment outside of Class hours These instructions should be followed if you are setting up the R-Studio Web environment outside the normal class hours. For instructions about Read More...

To start the application, select " Practicing R - Outside of Class App ". Then follow these steps: Step 1: Under Analysis Settings , enter your name in the Execution Name field. Step 2: Change Priority from " Read More...

DNAnexus Outside of Class Setting up the R-Studio environment outside of Class hours These instructions should be followed if you are setting up the R-Studio Web environment outside the normal class hours. For instructions about Read More...

11/01/2022 - Join us to learn how Visium Spatial and Xenium In Situ platforms from 10x Genomics can help you push the boundaries of your research. Uncover molecular insights, dissect cell-type differences, investigate the adaptive immune Read More...

10/19/2022 - Speaker: Ron Germain, M.D., Ph.D. NIH Distinguished Investigator NIAID, NIH Dr. Germain received his Sc.B. and Sc.M. from Brown University in 1970 and his M.D. and Ph.D. from Harvard Read More...

06/30/2022 - Experimental Design Considerations in Variant Analysis Germline vs Somatic WGS vs WES Sample sizes and statistical power QC, variant annotation, and analysis considerations Beyond GATK! A survey of variant calling tools The  actual  Best Read More...

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...

03/27/2025 - Please note: Registration is required to get the Meeting Link for this event. Please pre-register. Aviv Regev is head of Genentech Research and Early Development. Formerly, Regev was Chair of the Faculty and Core Read More...

03/13/2025 - UCSC Xena showcases seminal cancer genomics datasets from The Cancer Genome Atlas (TCGA) and the Pan-Cancer Atlas, as well as the Genomic Data Commons, Pan-cancer Atlas of Whole Genomes, and the International Cancer Genome Read More...

01/21/2025 - About the Speaker: Hari completed his PhD in Cell Biology at the University of Toronto, where he used single-molecule imaging techniques to reveal how multimolecular interactions govern early signaling events in individual immune cells. Read More...

11/06/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

10/29/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

10/22/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

10/15/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

08/08/2024 - What are common statistical analyses for binary data? What is the distribution of your binary dependent variable? What is the difference from normally distributed data? How do you model the binary outcome with multiple Read More...

06/20/2024 - What are common statistical analyses for continuous data? Can you check whether your continuous outcome is normally distributed? What are the methods when the data are not normal? How do you model the outcome Read More...

06/13/2024 - The schedule for this week consists of one presentation: Lorenz Adlung, UMC Hamburg-Eppendorf, will discuss: scMod: Marrying machine learning and deterministic modelling of longitudinal single-cell data Single-cell-based methods such as flow cytometry or single-cell Read More...

In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...

In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...

The Advanced Biomedical Computational Science (ABCS) group focuses on applications of bioinformatics, computational and data science, and artificial intelligence to support NCI researchers. ABCS provides: • Subject matter expertise in genomics, proteomics, and imaging. • Machine learning/ Read More...

03/13/2024 - Dear Colleagues,    UCSC Xena is a web-based visual integration and exploration tool for multi-omic data and associated clinical and phenotypic annotations.   Xena showcases seminal cancer genomics datasets from Read More...

01/03/2024 - on Wednesday, January 3rd at noon in Building 41, Conference Room C507/C509 and online. In-person attendance is encouraged.  Dr. Larson's research is focused on understanding gene expression in eukaryotic Read More...

DNAnexus Basics Setting up the R-Studio environment outside of Class hours These instructions should be followed if you are setting up the R-Studio Web environment outside the normal class hours. Log into DNAnexus Each student Read More...

11/14/2023 - Dr. Ting Wang is a Sanford C. and Karen P. Loewentheil Distinguished Professor of Medicine at the McDonnell Genome Institute, Washington University School of Medicine in St. Louis. Dr. Wang’s lab Read More...

10/03/2023 - Multiplexed antibody-based imaging enables the detailed characterization of molecular and cellular organization in tissues. Significant advances in the field now allow high-parameter data collection (60+ targets); however, considerable expertise and capital are needed to validate Read More...

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...

Database for Annotation, Visualization and Integrated Discovery (DAVID) - an overview Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 17 review In the previous class, we got an overview of Read More...

This data set is from the Griffith lab RNA sequencing tutorial and are kept at http://genomedata.org/rnaseq-tutorial/practical.tar. This dataset is derived from a study that profiled the transcriptome of HCC1395 breast Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learn: FASTQC for assaying quality of sequence reads MultiQC for combining multiple FASTQC reports into one report Trimmomatic for removing sequence data based Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learn: FASTQC for assaying quality of sequence reads MultiQC for combining multiple FASTQC reports into one report Trimmomatic for removing sequence data based Read More...

Let's now take a look at our final differential analysis results table (results_with_gene_names_labeled.txt), using the SLC2A11 gene as an example and below we use the column command to Read More...

In this portion of the class, it is very important that you have IGV already opened on your computer. See Figure 1 and Figure 2 on how to load the relevant alignment outputs for HBR_1 and UHR_1 Read More...

For visualizing the HBR and UHR alignment results, we will use the built in Human hg38 genome. To do this, we will just goto the genome selection box and select hg38 (Figure 2). In Figure 3, we Read More...

02/17/2023 - Dr. Brendan Miller is a post-doctoral research fellow at Johns Hopkins University in the Department of Biomedical Engineering. On Friday Feb 17, 1:00-2:00 PM, he will be discussing some tools he has recently helped develop Read More...

10/31/2022 - UCSC Xena is a web-based visual integration and exploration tool for multi-omic data and associated clinical and phenotypic annotations. Xena showcases seminal cancer genomics datasets from TCGA and the Pan-Cancer Atlas, as well as Read More...

10/19/2022 - Our bodies host millions of microorganisms, and our relationship with these tiny living companions is complex. While microbial communities support normal processes and defend against harmful pathogens, infections with some viruses and bacteria can Read More...

10/05/2022 - For our next CDSL webinar we will have presentations by two CDSL fellows:  Ekaterina Kazantseva  and Sanna Madan.  Ekaterina is a master’s student in Dr. Mikhail Kolmogorov's group and the title of Read More...

10/04/2022 - Speaker: Steven D Cappell NIH Stadtman Investigator Center for Cancer Research – National Cancer Institute – Bethesda MD My laboratory is integrating quantitative image analysis with genetic, biochemical, and systems biology approaches to understand how cells Read More...

08/10/2022 - For our next CDSL webinar we will have two fellows’ talks from Dr. Zisha Zhong and Arati Rajeevan . Zisha’s talk details: Title:  Multi-task Feature Learning to train Interpretable Encoders on Histopathology Images Digital Read More...

06/22/2022 - Cancer origination and progression is a complex process that can be viewed as a somatic evolutionary progression with clonal cellular expansion(s) driven by accumulation of survival-/evasion-beneficial genomic mutations, alongside constantly changing selective Read More...

06/06/2022 - Join the June NCI Imaging and Informatics Community Webinar for a discussion on the recent contributions from Dr. Mirabela Rusu’s Personalized Integrative Medicine Laboratory (PIMed) at Stanford University. Recent laboratory contributions include: registering Read More...

05/19/2022 - THIS EVENT HAS BEEN CANCELLED Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma of childhood and are subdivided into three major histomorphologic subtypes: alveolar (ARMS), embryonal (ERMS), or spindle/sclerosing (SSRMS).  Patients with Read More...

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...

10/24/2024 - NIH Text Mining and Natural Language Processing SIG is pleased to welcome you to this special event featuring two extraordinary speakers focused on the applications of Deep Learning in Computational Biology.  & Read More...

This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...

Learning Objectives This tutorial was 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. Throughout this tutorial we Read More...

Lesson 12 Practice Objectives In this practice session, we will work with something new, which is a dataset from the Griffith lab RNA sequencing tutorial. Here, we will have a chance to practice what we have Read More...

In lesson 9, we learned that reference genomes came in the form of FASTA files, which essentially store nucleotide sequences. In this lesson, we will learn about the FASTQ file, which is the file format that Read More...

Lesson 10: Introducing the FASTQ file and assessing sequencing data quality Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 9 Review In the previous lesson, we explored the reference genomes and Read More...

Lesson 14: Visualizing alignment results Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 13 Review Previously, we used the application HISAT2 to align the raw sequencing data from the Human Brain Read More...

Lesson 14: Visualizing alignment results Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 13 Review Previously, we used the application HISAT2 to align the raw sequencing data from the Human Brain Read More...

Database for Annotation, Visualization and Integrated Discovery (DAVID) - an overview Lesson 17 review In the previous class, we got an overview of functional and pathway analysis, which help to put RNA sequencing results into biological Read More...

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...

Lesson 3: R Project Management and renv Learning objectives Discuss the importance of reproducibility Learn ways to make R analyses more reproducible Learn how to set up and organize an R project Learn how to use Read More...

04/03/2023 - Workshop Description:  The application of AI to cancer research holds promise to accelerate new discoveries, enable early detection, improve diagnosis, and spur development of new therapies for cancer. Machine learning and other forms of Read More...