Search Results for: array tomography

Radiology and Imaging Sciences provides imaging services for National Institutes of Health (NIH) Clinical Center patients participating in research protocols conducted by the various NIH institutes. Services include X-rays, fluoroscopy, ultrasound, magnetic resonance imaging (MRI) 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...

We are a bioinformatics team within the Center for Biomedical Informatics and Information Technology’s (CBIIT’s) Cancer Informatics Branch (CIB)—soon to be referred to as the Informatics and Data Science (IDS) Program. Headed Read More...

The Electron Microscopy Core (EMC), formerly known as Electron Microscopy Lab (EML),  offers investigators access to unique expertise and EM technologies that allow CCR Investigators to explore new avenues of research in order to enhance 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...

NCI LASP Animal Research Technology Support (ARTS) provides customized technical support for basic and translational animal-based research to the scientific community. We offer a wide array of services ranging from expert colony management to the Read More...

Radiation Oncology Branch is part of CCR. Bioinformatics core is a collaborative resource to support ROB branch and provide service to ROB investigators from NCI and other Institutes access to new technologies, bioinformatics, statistical analysis Read More...

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...

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...

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...

[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...

Mouse models of human cancer have had a profound impact on our current understanding of the mechanisms of tumorigenesis and the pathways regulated by cancer-related genes. These models hold the promise of serving as critical 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 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...

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...

Given a list of numbers, it is difficult to perform mathematical operations. For instance list_of_numbers=[1,2,3,4,5] Multiplying list_of_numbers by 2 will duplicate this list. However, multiplying a list of numbers by two should Read More...

Given a list of numbers, it is difficult to perform mathematical operations. For instance list_of_numbers=[1,2,3,4,5] Multiplying list_of_numbers by 2 will duplicate this list. However, multiplying a list of numbers by two should Read More...

05/19/2020 - The class will start with an overview of Partek Genomics Suite with Pathway and followed with the hands-on training on Illumina 450K Methylation array data. The workflow can also be used on HumanMethylation27 (27K) Read More...

The first example will use Python code to demonstrate the utility of Jupyter Notebook for keeping code, output, and analysis steps all in one place. First, the import command of Python will be used to Read More...

The first example will use Python code to demonstrate the utility of Jupyter Notebook for keeping code, output, and analysis steps all in one place. First, the import command of Python will be used to Read More...

The example below will use Python code to demonstrate the utility of Jupyter Notebook for keeping code, output, and analysis steps all in one place. First, the import command of Python will be used to Read More...

The example below will use Python code to demonstrate the utility of Jupyter Notebook for keeping code, output, and analysis steps all in one place. First, the import command of Python will be used to Read More...

import numpy import matplotlib.pyplot as plt x=numpy.array([0,1,2,3,4]) y=numpy.array([0,2,4,6,8]) plt.scatter(x,y) plt.xlabel("x", size=15) plt.ylabel("y", size=15) plt.tick_params(labelsize=12) plt.title(& Read More...

import numpy import matplotlib.pyplot as plt x=numpy.array([0,1,2,3,4]) y=numpy.array([0,2,4,6,8]) plt.scatter(x,y) plt.xlabel("x", size=15) plt.ylabel("y", size=15) plt.tick_params(labelsize=12) plt.title(& Read More...

import matplotlib.pyplot as plt import numpy x=numpy.array([0,1,2,3,4,5,6,7,8]) y=numpy.array([0.5,2,5,6,7,10,13,14,16]) plt.scatter(x,y) slope, intercept=numpy.polyfit(x,y,1) plt.plot(x,slope*x+intercept) plt.text(1,14,'y='+str(round(slope,3))+' Read More...

06/15/2020 - This session will focus on NGS data, multi-omics analysis of array, and sequence data. Participants will work with text files in GeneSpring for NGS gene expression workflow and .vcf files for variant analysis.

Partek Genomics Suite (Partek) is a graphical user interface (GUI) based bioinformatics package. It hosts a range of work flows that allow for gene expression, epigenetic, and association analysis. {{Sdet}}{{Ssum}}Listing of Analysis Functions{{ Read More...

Because DNASTAR Lasergene includes a wide array of applications, there is a large number of input and output data types that vary by application. Fortunately, there is an extensive list provided on the commercial website.

Nexus Copy Number (BioDiscovery) is a graphical user interface (GUI) based bioinformatics software that specializes in copy number detection using array or sequence derived data. Its analysis capabilities are listed below. {{Sdet}}{{Ssum}}List of Read More...

{{Sdet}}{{Ssum}}Single nucleotide variants{{Esum}} CLC Genomics Workbench (sequencing based) What file types can I start my analysis with? FASTQ Geneious Prime (sequencing based) What file types can I start my analysis with? FASTQ Read More...

Again, thanks to a wide array of packages, output data types are essentially limitless. There are some file types that are specific to R and noteworthy including .RData and .rds files. RData files are used Read More...

Software that offers simple yet powerful tools for copy number (CNV) and sequence variation analysis and visualization from aCGH, SNP arrays as well as NGS WES/WGS and expression data. Nexus Copy Number – Accelerating Copy Read More...

No summary available.

09/25/2024 - Please join us on Wednesday, September 25, 2024, where Gina Kuffel, B.S., and Steph Singleton, M.S., will demo the newly launched Clinical and Translational Data Commons (CTDC).    As the newest addition to NCI's Read More...

Another important data structure in R is the data matrix. Data frames and data matrices are similar in that both are tabular in nature and are defined by dimensions (i.e., rows (m) and columns ( Read More...

Swarm is for running a group of commands (job array) on Biowulf. swarm reads a list of command lines and automatically submits them to the system as sub jobs. To create a swarm file, you Read More...

R: Data types: integer, numeric, character, and logical Data structures: vectors, lists, data frames, matrices. x

R: Data types: integer, numeric, character, and logical Data structures: vectors, lists, data frames, matrices. ::: {.cell} x ::: :::

Another important data structure in R is the data matrix. Data frames and data matrices are similar in that both are tabular in nature and are defined by dimensions (ie. rows (m) and columns (n), Read More...

06/16/2022 - Sarah Teichmann is co-founder and principal leader of the Human Cell Atlas (HCA) international consortium. The International Human Cell Atlas initiative aims to create comprehensive reference maps of all human cells to further understand Read More...

03/24/2022 - Featured in our "Topics in Bioinformatics Series", this class will introduce the QIIME2 platform for microbiome analysis. QIIME2 is a powerful microbiome analysis platform with a wide array of tools that can Read More...

12/15/2020 - Register The goal of these workshops is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical Read More...

12/08/2020 - Register The goal of these workshops is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical Read More...

12/01/2020 - Register The goal of these workshops is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical Read More...

11/17/2020 - Register The goal of these workshops is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical Read More...

11/10/2020 - Register The goal of these workshops is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical Read More...

08/28/2019 - Please bring your computer with Partek Genomics Suite to this hands-on workshop. You'll need to submit a request through “NCI at Your Service” to obtain the access to this software. Partek will demonstrate Read More...

02/26/2013 -   Comparison Study of NGS SNP Detection Tools Brief background and introduction for the current status of SNP detection field and each of the selected tools to be compared Description of our benchmark exome-seq data Read More...

10/23/2012 - Learn the fundamentals in genomic data analysis of CGH and SNP arrays using BioDiscovery Nexus Copy Number software.  In this hands-on training session, you will learn how to load, process, visualize, and analyze array Read More...

To plot using Seaborn, start the command with seaborn followed by the plot type, separated by a period. seaborn.plot_type This section will use Seaborn's scatterplot to explore how to work with and Read More...

To plot using Seaborn, start the command with seaborn followed by the plot type (where plot type can be any plot, for instance if the user wants a scatter plot then the command would be Read More...

Another important data structure in R is the data matrix. Data frames and data matrices are similar in that both are tabular in nature and are defined by dimensions (i.e., rows (m) and columns ( Read More...

{{Sdet}}{{Ssum}}ATAC sequencing{{Esum}} Partek Flow What file types can I start my analysis with? FASTQ BAM {{Edet}} {{Sdet}}{{Ssum}}Single cell ATAC sequencing{{Esum}} Partek Flow What file types can I start my Read More...

No summary available.

BTEP strives to maintain links to resources that should be of interest to CCR Bioinformatics Community.  Some of the resources to will be accessible through more than one of these lists, but since the lists Read More...

The data type of an R object affects how that object can be used or will behave. Examples of base R data types include numeric, integer, complex, character, and logical. R objects can also have Read More...

09/06/2023 - With the advancements in single cell and spatial profiling technologies and methods, some of us thought it would be helpful to re-establish a community of end users on campus. We invite those that are Read More...

Let's submit a batch job. We are going to download data from the Sequence Read Archive (SRA) , a public repository of high throughput, short read sequencing data. We will discuss the SRA a bit Read More...

07/27/2023 - For 35 years, NCBI has collected a vast amount of sequence information including from a diverse array of organisms, including viruses, bacteria and fungi. With all of the databases and tools available& Read More...

06/23/2023 - Please join us for the launch of the NIGMS Sandbox, a cloud-based learning platform that contains 12 modules developed by NIGMS-supported investigators and Google Cloud engineers. Each module is delivered through an interactive step-by-step tutorial, Read More...

09/29/2022 - The size and complexity of data necessary to derive meaningful scientific and clinical insights are advancing at an unprecedented rate.  At the core of this complexity is an ever-expanding array of technologies, instrumentation, and Read More...

06/16/2022 - Sarah Teichmann, Ph.D., Fellow of the Academy of Medical Sciences (UK FMedSci), Fellow of the Royal Society (FRS), Wellcome Sanger Institute Sarah Teichmann is co-founder and principal leader of the Human Cell Atlas ( Read More...

05/06/2021 - Presenter : Adam J Gayoso, Streets and Yosef Groups at UC Berkeley Abstract : Probabilistic models have demonstrated state-of-the-art performance for many single-cell omics data analysis tasks, including dimensionality reduction, clustering, differential expression, annotation, removal of Read More...

11/10/2020 - Link for ALL class sessions including help sessions. Register Meeting number: 172 866 2623 Password: NYy4m3V3i3* Dial in: 650-479-3207 The goal of this workshop is to teach novice programmers to write modular code Read More...

11/03/2020 - https://nci.rev.vbrick.com/#/videos/9db0a539-5bf2-4bc2-9e07-523161137e6e The goal of these workshops is to teach novice programmers to write modular code and best practices Read More...

06/24/2020 - Traditional methods of epidemic modeling continue to be used fruitfully for characterizing outbreaks and predicting the spread of disease in populations. However, these methods, typically rely on what are known as “compartment models”, requiring Read More...

11/14/2017 - The CCR Office of Science and Technology Resources (OSTR), along with the Bioinformatics Training and Education Program (BTEP), are pleased to organize this event for the CCR scientific community. The primary goal of single Read More...

10/25/2017 - BTEP encourages researchers with high-throughput data from NGS or mutiple sources to attend this hands-on workshop on Qlucore Omics Explorer (QOE), which handles various types of data with the platform-independent data import Wizard module. Read More...

12/20/2016 - ABOUT THE COURSE R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series Read More...

11/22/2016 - ABOUT THE COURSE R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series Read More...

11/09/2015 - A Short Course in R for Biologists "A Short Course in R for Biologists" is a two-day course given in four three-hour sessions entitled: Introduction to R, Introduction to Bioconductor, Introduction to Read More...

10/22/2015 - /* element spacing */ p, pre { margin: 0em 0em 1em; } /* center images and tables */ img, table { margin: 0em auto 1em; } p { text-align: justify; } tt, code, pre { font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Read More...

01/29/2015 - /* element spacing */ p, pre { margin: 0em 0em 1em; } /* center images and tables */ img, table { margin: 0em auto 1em; } p { text-align: justify; } tt, code, pre { font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Read More...

05/28/2013 - Nexus Copy Number is a user-friendly desktop application for analysis and visualization of structural variation (copy number, allelic events, and small sequence variations) from CGH and SNP array- and NGS-generated data. The simple and Read More...

11/29/2012 -   The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution. A key characteristic of Read More...

10/16/2012 - Fundamentals of DNA copy number analysis using Nexus Learn the basics of copy number analysis and its application to genomic research. Fundamental concepts such as copy number measurement methods, quality assessment, and different approaches/ Read More...

Arguments and options for Python commands are enclosed in parentheses. In general, the anatomy is command(argument, option). For example, the command below is print and it will display the argument, "Hello BTEP" Read More...

Swarm is for running a group of commands (job array) on Biowulf. swarm reads a list of command lines and automatically submits them to the system as sub jobs. "By default, swarm runs one 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...

The CCR Collaborative Bioinformatics Resource (CCBR) is a resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has expertise in Read More...

Python is a programming language used in many different applications including data science. It is a high-level computer language, as the syntax is easily read and understood. Python is considered a beginner-friendly language. Python also Read More...

Let's submit a batch job. We are going to download data from the Sequence Read Archive (SRA), a public repository of high throughput, short read sequencing data. We will discuss the SRA a bit Read More...

The UCSC Genome Browser is the "goto tool" for viewing sequence data in a genomic context. It's wide variety of supported organisms and data types, coupled with its responsive performance make it Read More...

A high-performance visualization tool for interactive exploration of large, integrated genomic datasets. One favorite use is inspection of alignments to rule out alignment artifacts resulting in false-postive variant calls.The Integrative Genomics Viewer (IGV) is Read More...

Qlucore Omics Explorer (Qlucore) is a graphical user interface (GUI) package used for 'omics data analysis. This software can analyze many different types of 'omics data when presented in tabular format. QLUCORE: THE DIY BIOINFORMATICS Read More...

  Update: Please contact your IC representative to get access to the Anaconda Business license as it has transitioned from enterprise to seat-based licensing. For questions, email anaconda@nih.gov. Anaconda ( https://www.anaconda. Read More...

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...

Learning Objectives Learn about data structures including factors, lists, data frames, and matrices. Load, explore, and access data in a tabular format (data frames) Learn to write out (export) data from the R environment Data Read More...

R Crash Course: A few things to know before diving into wrangling Learning the Basics Objectives 1. Learn about R objects 3. Learn how to recognize and use R functions 4. Learn about data types and accessors Console Read More...

Lesson 5: Working on Biowulf Lesson 4 Review Flags and command options Wildcards ( * ) Tab complete Accessing user history with the "up" and "down" arrows cat , head , and tail Working with file content (input, Read More...

Learning Objectives Learn about popular programming languagues in bioinformatics Compare advantages and disadvantages of Python and R Discuss what you will need to learn to use these languages Discuss learning resources Choosing a programming language Read More...

Learning Objectives Learn about popular programming languagues in bioinformatics Compare advantages and disadvantages of Python and R Discuss what you will need to learn to use these languages Discuss learning resources Choosing a programming language Read More...

Below, we assign the heatmap to the R object hm_ph. hm_ph {"x":{"data":[{"x":[4.875,2.875,null,2.875,2.875,null,2.875,1.75,null,1.75,1.75,null,1.75,1,null,1,1,null,1.75,2.5,null,2.5,2.5,null,2.5,2,null,2,2,null,2.5,3,null,3,3,null,2.875,4,null,4,4, Read More...

Below, we assign the heatmap to the R object hm_ph and we can import this back to R in the future. hm_ph {"x":{"data":[{"x":[4.875,2.875,null,2.875,2.875,null,2.875,1.75, Read More...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn to construct cluster heatmap using the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify Read More...

Visualizing clusters with heatmaps Objectives Introduce the heatmap and dendrogram as tools for visualizing clusters in data. Learn how to work with the package pheatmap . Learn how to save a non-ggplot2 plot. Introduce ggplotify to Read More...

Data frames Objectives To be able to load, explore, and access data in a tabular format. To this end, students should understand the following: 1. how to import and export data 2. how to create, summarize, and Read More...

02/20/2020 - Learn how to easily analyze your gene expression data yourself - using Qlucore Omics Explorer NCI/CCR:To get access to Qlucore, put a request into NCI at Your Service under Get Help https:// Read More...

03/08/2016 - BTEP Workshop on Exome-Seq Data Analysis and Variant Annotation (2-day) This workshop will cover the basics and best practices of exome-seq analysis including downstream interpretation of variants using a variety of in-house, open-source and Read More...

02/08/2016 - BTEP Workshop on Data Visualization, Exploration and Analysis NOTE: This is a Bring Your Own Computer (BYOC) class, and will be simultaneously shared via GoToMeeting with attendees at the Advanced Technology Research Facility (ATRF) Read More...

03/18/2015 - This workshop will cover basics of exome-seq analysis including downstream interpretation of variants using a variety of open-source and commercial webtools (Golden Helix, IGV, Ingenuity Variant Analysis, GeneGrid (Genomatix), MuPit/Cravat). Day 1 - AM (9:30 Read More...

03/18/2014 - The Cancer Genome Atlas (TCGA) is a large-scale study that has catalogued genomic data accumulated from more than 20 different types of cancer including mutations, copy number variation, mRNA and miRNA gene expression, and DNA Read More...