Charlottesville, VA
Repositories
The Mid-Atlantic CHTN is one of six participating divisions of the Cooperative Human Tissue Network (CHTN) and is based in the Pathology Department at the University of Virginia. While primarily a resource for cancer researchers, Read More...
Bethesda, MD
Repositories
The CHTN is a unique NCI-supported resource that provides human tissues and fluids from routine procedures to investigators who utilize human biospecimens in their research. Unlike tissue banks, the CHTN works prospectively with each investigator Read More...
Bethesda, MD
Repositories
The National Clinical Trials Network Biospecimen Banks (NCTN) receive, store, and distribute human cancer biospecimens collected on NCTN clinical trials . NCTN Biobanks provide cancer researchers with quality, well-annotated biospecimens and associated clinical information. The NCTN Read More...
Bethesda, MD
Core Facility
The Flow Cytometry Core (LGI) offers established technologies to support studies using flow cytometry and cell sorting. Established Technologies Applications that run on FACS Caliburs include: Immunophenotyping (up to 4-color), Intracellular markers, including cytokines and Read More...
ROCKVILLE, MD
Repositories
The Specimen Resource Locator (SRL) is a biospecimen resource database designed to help researchers locate resources that may have the samples needed for their investigational use. This publicly searchable database includes information about biospecimen banks Read More...
Frederick, MD
Core Facility
The FNLCR Molecular Histopathology Laboratory (MHL) provides comprehensive veterinary pathology support for animal health monitoring, biomarker discovery and validation, drug development, genomics, and proteomics on a cost recovered basis. The MHL is organized into multiple Read More...
Frederick, MD
Core Facility
The CCR-Frederick Flow Cytometry Core Facility provides research support to the Frederick-CCR community, including cytometry analysis and sorting services, instrument maintenance, new user training, and technical consultation. Typical Assays Performed by Core Instruments Immunophenotyping of Read More...
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Employing spatial biology techniques enables acquisition of transcript and protein data from intact tissue sections, and in turn, spatial distribution information and cellular interaction patterns are revealed.
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What is Visium FFPE v2 with CytAssist? Visium FFPE v2 is sequencing-based spatial profiling technology developed by 10x Genomics. This assay can take mouse or human tissue sections on normal glass slides as input and Read More...
Frederick, MD
Repositories
NCI maintains a low temperature repository of implantable in vivo-derived tumors and in vitro-established tumor cell lines from various species, which are available to qualified investigators as a service to the cancer research community. The Read More...
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[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...
Bethesda, MD
Core Facility
The CCR Building 41 Flow Cytometry Core is a full-service facility within the Center for Cancer Research that supports over 150 users representing 26 laboratories. The Core Facility provides instrument and software training, technical expertise, assay development, and Read More...
Bethesda, MD
Trans NIH Facility
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...
Bethesda, MD
Trans NIH Facility
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...
Frederick, MD
Collaborative
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...
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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...
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Bioinformatics
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...
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Bioinformatics
03/24/2021 - WebEx: Register Accurate detection of somatic mutations is challenging but critical to understanding how cancer forms and progresses. Such detection is also critical for targeting more effective treatments. In this seminar, Dr. Mohammad Sahraeian, Read More...
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Bioinformatics
These instructions should be followed if you are setting up the R-Studio Web environment outside the normal class hours.
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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".
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
02/11/2026 - This hour and half online training is part two of an introductory two-part series for those who want to learn about research data management and sharing, or for those who are interested in a Read More...
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Bioinformatics
02/10/2026 - This one-hour and thirty minute online training is part one of an introductory two-part series for those who want to learn about research data management and sharing, or for those who are interested in Read More...
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Bioinformatics
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...
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Bioinformatics
10/28/2025 - This one-hour and fifteen minute online training is part two of an introductory two-part series for those who want to learn about research data management and sharing, or for those who are interested in Read More...
Web Page
Bioinformatics
10/27/2025 - This one-hour and thirty minute online training is part one of an introductory two-part series for those who want to learn about research data management and sharing, or for those who are interested in Read More...
Web Page
Bioinformatics
06/27/2025 - This one-hour and fifteen minute online training is part two of an introductory two-part series for those who want to learn about research data management and sharing, or for those who are interested in Read More...
Web Page
Bioinformatics
06/26/2025 - This one-hour and half minute online training is part one of an introductory two-part series for those who want to learn about research data management and sharing, or for those who are interested in Read More...
Web Page
Bioinformatics
09/12/2024 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
09/11/2024 - This one-hour and thirty minute online training is part one of an introductory two-part series for those who want to learn about research data management and sharing, or for those who are interested in Read More...
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Bioinformatics
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...
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Bioinformatics
06/14/2024 - Data Sharing and Reuse Seminar Series Please join us for the June Data Sharing and Reuse Seminar where Micahel Schatz, Ph.D. will be presenting "BioDIGS: BioDiversity and Informatics for Genomics Scholars. This Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
05/17/2024 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
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Bioinformatics
05/16/2024 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
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Bioinformatics
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...
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Bioinformatics
01/26/2024 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
01/25/2024 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
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...
Web Page
Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
07/28/2023 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
07/27/2023 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
02/22/2023 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
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...
Web Page
Bioinformatics
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...
Web Page
Bioinformatics
01/27/2023 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
01/26/2023 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
12/16/2022 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
12/15/2022 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
09/28/2022 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
09/27/2022 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
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Bioinformatics
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...
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Bioinformatics
05/04/2022 - Presenter: Thomas Gonatopoulos-Pournatzis, Ph.D. Stadtman Investigator NIH Distinguished Scholar Head Functional Transcriptomics Section RNA Biology Laboratory NCI-Frederick Dr. Gonatopoulos-Pournatzis studies the regulatory pathways and functional roles of alternative splicing and other pre-mRNA processing Read More...
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Bioinformatics
04/26/2022 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
04/25/2022 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
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Bioinformatics
03/23/2022 - Please join us on March 23 when Ben Raphael, Ph.D., will present “Quantifying Tumor Heterogeneity Using Single-Cell and Spatial Sequencing.” In this presentation, Dr. Raphael will describe computational approaches to quantify tumor heterogeneity and Read More...
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Bioinformatics
02/18/2022 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
02/17/2022 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
11/19/2021 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
11/18/2021 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
10/21/2021 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
10/20/2021 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
Web Page
Bioinformatics
06/17/2021 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
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Bioinformatics
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...
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Bioinformatics
06/16/2021 - This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data preservation. Read More...
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Bioinformatics
05/14/2021 - Register Session Description This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository Read More...
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Bioinformatics
05/13/2021 - Register Session Description This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository Read More...
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Bioinformatics
04/28/2021 - Register/Join In this public workshop, participants will have the opportunity to discuss the challenges and opportunities involved in establishing effective data management and sharing practices. The organizers encourage anyone working with data to Read More...
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Bioinformatics
03/19/2021 - Register This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data Read More...
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Bioinformatics
03/18/2021 - Register This course provides detailed information on managing and sharing data from the first data planning stage, through the data life cycle, to data archiving, and finally to selecting an appropriate repository for data Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
It is next standard to scale and center the features in the data set prior to dimension reduction or visualization via heatmap. Scaling the data will keep highly expressed genes from dominating our analysis. This Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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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
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
09/28/2022 - We invite you to join us for the Neuro-Oncology Visiting Scholar Lecture scheduled for next week by Eytan Ruppin, M.D. Ph.D: Next Generation Transcriptomics-based Precision Oncology Eytan Ruppin received his M.D. Read More...
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Bioinformatics
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...
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Bioinformatics
10/26/2021 - Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=m14c6833bc06f89408464fac5bb2e8ce9 Human cells generate remarkable regulatory and functional complexity from a finite set of genes. Production of Read More...
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Bioinformatics
05/26/2021 - Register Description: This webinar will highlight UCSC Xena's newest features including genome-wide differential gene expression analysis, violin plots, and a simpler way to filter and subgroup. UCSC Xena ( http://xena.ucsc.edu/ ) is Read More...
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Bioinformatics
05/13/2021 - Meeting Link The slides and recording of the webinar will be available within a day of the event. Heterogeneity poses a major challenge in translational research. For example, inter-tumor heterogeneity limits the biomarker discovery Read More...
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Bioinformatics
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...
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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
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
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...