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Bioinformatics
To begin plotting, let's load our tidyverse library. #load libraries library(tidyverse) # Tidyverse automatically loads ggplot2 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 ✔ tidyr 1.3.0 ## ✔ purrr 1.0.2 ## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── ## ✖ dplyr:: Read More...
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Bioinformatics
There are multiple ways to combine figures using R. In this lesson, we will learn how to combine figures primarily with patchwork . Though, we will also learn some components of cowplot . To get started, load Read More...
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Bioinformatics
There are multiple ways to combine figures using R. In this lesson, we will learn how to combine figures using two different R packages cowplot and patchwork , beginning with cowplot . To get started, load the Read More...
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Bioinformatics
To begin plotting, let's load our tidyverse library. #load libraries library(tidyverse) # Tidyverse automatically loads ggplot2 ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.7 ✔ dplyr 1.0.9 ## ✔ tidyr 1.2.0 ✔ stringr 1.4.0 ## ✔ readr 2.1.2 ✔ forcats 0.5.1 ## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── ## ✖ dplyr::filter() masks stats:: Read More...
Rockville, MD
Core Facility
Trans NIH Facility
The Functional Genomics Laboratory (formerly, the RNAi Screening Facility) of the National Center for Advancing Translational Sciences (NCATS) assist investigators with all stages of project planning and execution, beginning with assay development through genome-wide siRNA Read More...
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Bioinformatics
Each version of R loaded as a module includes a number of installed packages . However, you may want to install additional packages, which will by default be stored in " ~/R/%v/library where %v Read More...
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Bioinformatics
R Packages can be found at: CRAN METACRAN - to search for packages Bioconductor Github Python Python Package Index (PyPI)
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Bioinformatics
R Packages can be found at: CRAN METACRAN - to search for packages Bioconductor Github Python Python Package Index (PyPI)
Web Page
Bioinformatics
In this lesson, we will continue to use the ggplot2 package for plotting. To use ggplot2, we first need to load it into our R work environment using the library command. library ( ggplot2 )
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Bioinformatics
In this lesson, we will be using several external R packages. To utilize these, we need to first load them into our R working environment using the library command. library(ggplot2) #for plotting library(tidyr) # Read More...
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Bioinformatics
library(pheatmap) ## for heatmap generation library(tidyverse) ## for data wrangling library(ggplotify) ## to convert pheatmap to ggplot2 library(heatmaply) ## for constructing interactive heatmap
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Bioinformatics
library(ggplot2) library(pheatmap) library(tidyverse) library(ggplotify) library(heatmaply)
Web Page
Bioinformatics
library(pheatmap) ## for heatmap generation library(tidyverse) ## for data wrangling library(ggplotify) ## to convert pheatmap to ggplot2 library(heatmaply) ## for constructing interactive heatmap
Web Page
Bioinformatics
05/17/2022 - Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want to Read More...
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Bioinformatics
04/27/2021 - Registration is required. Register at this link . Python is a good programming language for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops Read More...
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Bioinformatics
11/07/2024 - In the era of renewed space exploration, understanding female health risks during spaceflight is essential. This talk focuses on leveraging NIAID's ImmPort and NASA's GeneLab data using computational and systems biology to Read More...
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Bioinformatics
libraries syntax variables functions data types loops and conditionals
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Bioinformatics
libraries syntax variables functions data types (dictionaries and tuples in python) loops and conditionals
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Bioinformatics
06/15/2020 - Participants will learn about data loading, quality control, statistical analysis as well as biological contextualization of miRNA microarray data.
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Bioinformatics
10/16/2024 - In this webinar, attendees will learn to call MATLAB from Python and to call Python libraries from MATLAB. In addition, they will learn how to use MATLAB’s Python integration to improve the compatibility Read More...
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Bioinformatics
The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR Read More...
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Bioinformatics
The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR Read More...
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Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...
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Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...
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Bioinformatics
The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR Read More...
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Bioinformatics
RNA-Seq (RNA sequencing), uses next-generation sequencing (NGS) to reveal the presence and quantity of RNA in a biological sample at a given moment. (Wikipedia) Strictly speaking this could be any type of RNA (mRNA, rRNA, Read More...
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Bioinformatics
Pathway Analysis IPA (Qiagen - CCR License) Future talk Functional Analysis Gene Set Enrichment Analysis (GSEA) https://www.gsea-msigdb.org/gsea/index.jsp DAVID https://david.ncifcrf.gov/ Enrichr https://maayanlab.cloud/Enrichr/ Other Types Read More...
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Bioinformatics
In Lesson 2, partipants will learn about ways to use R on Biowulf. The focus will be on interactively working with R on Biowulf. Two different ways of accessing RStudio will be demonstrated. In addition, there Read More...
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Bioinformatics
A programming language is a formal language that specifies a set of instructions for a computer to perform specific tasks. It is used to write software programs and applications, and to control and manipulate computer Read More...
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Bioinformatics
07/13/2023 - In Lesson 2 of Toward Reproducibility with R on Biowulf , partipants will learn about ways to use R on Biowulf. The focus will be on interactively working with R on Biowulf. Two different ways of Read More...
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Bioinformatics
To begin plotting, we need to load our ggplot2 library. Package libraries must be loaded every time you open and use R. If you haven't yet installed the ggplot2 package on your local machine, Read More...
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Bioinformatics
06/16/2022 - For the Advanced Training, topics covered depend upon survey results: find key hubs using over-connectivity analysis; using Microarray repository for gene comparisons against public data; building networks with MetaCore; constructing your own pathway maps; Read More...
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Bioinformatics
10/19/2021 - For the Advanced Training, topics covered depend upon survey results: find key hubs using over-connectivity analysis; using Microarray repository for gene comparisons against public data; building networks with MetaCore; constructing your own pathway maps; Read More...
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Bioinformatics
05/19/2021 - Register Kinase inhibitors have been intensively studied and used effectively for cancer treatment for decades. Yet, despite our progress in understanding kinases in oncology, more needs to be known to better predict how and Read More...
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Bioinformatics
05/19/2021 - Register/Join Kinase inhibitors have been intensively studied and used effectively for cancer treatment for decades. Yet, despite our progress in understanding kinases in oncology, more needs to be known to better predict how Read More...
Frederick, MD
Collaborative
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...
Frederick, MD
Core Facility
NCI LASP Genome Modification Core (GMC) is a CCR-dedicated facility that provides advice, training, and reagents to NCI scientists seeking to utilize CRISPR and other nucleases to generate genome modifications in primary cells, cell lines, Read More...
Bethesda, MD
Collaborative
The Antibody Engineering Program (AEP) is located at the Laboratory of Molecular Biology, which is part of the Center for Cancer Research (CCR), an intramural program at the National Cancer Institute (NCI). AEP focuses on Read More...
Frederick, MD
Collaborative
The Molecular Targets Program (MTP) is an organizational entity within the Center for Cancer Research (CCR) at NCI. The MTP provides the focus and infrastructure to enable CCR tenured and tenure-track Principal Investigators to initiate Read More...
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Bioinformatics
To begin plotting, we need to load our ggplot2 library. Package libraries must be loaded every time you open and use R. If you haven't yet installed the ggplot2 package on your local machine, Read More...
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Bioinformatics
10/23/2023 - QIAGEN Ingenuity Pathway Analysis (IPA) is the leading pathway analysis application among the life science research community and is cited in tens of thousands of articles for the analysis, integration and interpretation of data Read More...
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Bioinformatics
10/11/2023 - This session focuses on R data types and data structures. In R, more advanced libraries (code) may require data to be a particular data type or data structure to perform a function or analysis. Read More...
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Bioinformatics
Trim and/or filter sequence to remove sequencing primers/adaptor and poor quality reads. Example programs: FASTX-Toolkit is a collection of command line tools for Short-Reads FASTA/ FASTQ files preprocessing. SeqKit is an ultrafast comprehensive Read More...
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Bioinformatics
developed as early as 1991 high-level, popular, general-purpose programming language that has a readable and easy to learn syntax Key features: easy to read easy to learn interpreted multi-platform wide community open source libraries (> 300,000) Two Read More...
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Bioinformatics
developed as early as 1991 high-level, popular, general-purpose programming language that has a readable and easy to learn syntax Key features: easy to read easy to learn interpreted multi-platform wide community open source libraries (> 300,000) Two Read More...
Web Page
Bioinformatics
A programming language is a formal language that specifies a set of instructions for a computer to perform specific tasks. It's used to write software programs and applications, and to control and manipulate computer Read More...
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Bioinformatics
07/13/2023 - MATLAB provides two-way integration with many programming languages such as Python, which allows for greater collaboration between investigators. This webinar will cover how to call MATLAB from Python and how to call Python libraries Read More...
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Bioinformatics
06/22/2023 - Scientists and educators from many different fields need to find and understand chemical data to perform their work. As such, understanding PubChem, the world’s largest collection of freely accessible chemical information, Read More...
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Bioinformatics
ggplot2 is a R graphics package from the tidyverse collection. It allows the user to create informative plots quickly by using a 'grammar of graphics' implementation, which is described as "a coherent system for Read More...
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Bioinformatics
04/06/2022 - Life Rafts in a Sea of Data: The Role of Librarians in Supporting Data Sharing Abstract: The NIH has updated its policies on managing and sharing research data and will require a Data Management Read More...
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Bioinformatics
01/19/2022 - For our next CDSL Webinar we will have a guest lecture by Dr. Russell Rockne from Beckman Research Institute, City of Hope National Medical Center. Abstract: Temporal dynamics of gene expression inform cellular and Read More...
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Bioinformatics
10/12/2021 - MATLAB provides two-way integration with many programming languages such as Python, which allows for greater collaboration between investigators. This webinar will cover how to call MATLAB from Python and how to call Python libraries Read More...
Web Page
Bioinformatics
04/28/2021 - Register/Join This month’s Cancer Genomics Cloud (CGC) webinar welcomes two bioinformaticians, Dr. Vesna Pajic and Nevena Vukojicic, to show attendees how CGC features can be used to perform multi-omics analysis. Dr. Pajic Read More...
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Bioinformatics
09/24/2020 - For the Advanced Training, topics covered depend upon survey results: find key hubs using over-connectivity analysis; using Microarray repository for gene comparisons against public data; building networks with MetaCore; constructing your own pathway maps; Read More...
Bethesda, MD
Core Facility
The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...
Frederick, MD
Core Facility
The Genomics Technology Laboratory is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, data analysis, and information management tools, in support of CCR Investigators. The laboratory develops integrated Read More...
Bethesda, MD
Collaborative
Repositories
The NCI Genomic Data Commons (GDC) was established by the NCI Center for Cancer Genomics (CCG) to support the receipt, harmonization, distribution, and analysis of genomic and clinical data from cancer research programs. The GDC Read More...
Bethesda, MD
Collaborative
The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally funded 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 Read More...
Web Page
The Antibody Engineering Program (AEP) is part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The program focuses on generating therapeutic antibodies by phage display technology, including human antibodies and Read More...
Rockville, MD
Trans NIH Facility
NISC’s role within NHGRI, and more broadly across NIH, aims to advance genome sequencing and its many applications, with a goal not simply to produce sequence data, but to produce the infrastructure required to Read More...
Rockville, MD
Collaborative
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...
Frederick, MD
Repositories
Trans NIH Facility
DTP’s Natural Products Repository is the world’s largest storehouse of natural products. It houses close to >200,000 extracts from samples of more than 70,000 plants and >20,000 marine organisms collected from more than 29 countries, plus extracts Read More...
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Protein Expression Laboratory The Protein Expression Laboratory develops, improves, and delivers protein-centric services. Our goal is to help client investigators achieve their research goals with the lowest possible cost in the shortest time. All PEL Read More...
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Bioinformatics
RNA-SEQ Overview What is RNASEQ ? RNA-Seq (RNA sequencing), uses next-generation sequencing (NGS) to reveal the presence and quantity of RNA in a biological sample at a given moment. (Wikipedia) Strictly speaking this could be any Read More...
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Bioinformatics
10/23/2024 - Please send any questions and/or specific topic areas that you’re interested in hearing about for this presentation by Friday, 10/18 to Kayla Strauss . QIAGEN Ingenuity Pathway Analysis (IPA) is the leading Read More...
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Bioinformatics
04/21/2024 - Looking for an introduction to artificial intelligence (AI) or an opportunity to expand on what you already know? Attend this workshop hosted by the NIH-funded Bridge2AI CHoRUS network and the University of Florida Read More...
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Bioinformatics
ggplot2 is an R graphics package from the tidyverse collection. It allows the user to create informative plots quickly by using a 'grammar of graphics' implementation, which is described as "a coherent system for Read More...
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Bioinformatics
Factor in at least 3 replicates (absolute minimum), but 4 if possible (optimum minimum). Biological replicates are recommended rather than technical replicates. Always process your RNA extractions at the same time. Extractions done at different times lead Read More...
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Bioinformatics
Resources Tertiary Analysis - Biological Meaning Pathway Analysis IPA (Qiagen - CCR License) Future talk Functional Analysis Gene Set Enrichment Analysis (GSEA) https://www.gsea-msigdb.org/gsea/index.jsp DAVID https://david.ncifcrf.gov/ Enrichr Read More...
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Bioinformatics
Data Analysis Here are a pair of examples of RNASEQ complete workflows RNASEQ Pipeline from NCI CCBR https://github.com/CCBR/Pipeliner/blob/master/RNASeqDocumentation.pdf RNASEQ Nextflow Pipeline from nf-core https://nf-co.re/rnaseq Read More...
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Bioinformatics
Can you speed up your code with parallelization? Considerations: levels of parallelization: multiprocessing vs multithreads The most common form of parallelism in R is multiprocessing. This is usually explicitly done by you or package you Read More...
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Bioinformatics
Course Overview Welcome to Toward Reproducibility with R on Biowulf This course includes a series of four lessons designed for beginner to intermediate R users interested in working with R on Biowulf. The purpose of Read More...
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Bioinformatics
Once we have done this, we can activate renv within our project. But, first, let's verify the location of our renv cache. R renv::paths$cache() # Check the cache location renv::init(bioconductor = "3.16& Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
A common question posed to the Bioinformatics Training and Education Program (BTEP) is “How can I learn R and Python to analyze my data?”. First, it’s important to state that learning any programming language 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
In this lesson we will use two different sets of data. First, we will use data available with your base R installation, the iris data set, which is stored in object iris . These data include Read More...
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Bioinformatics
12/09/2022 - PhysioNet is a data sharing platform that began as an outreach component for an NIH research project in 1999. Rebuilt in 2019 following FAIR principles (Findable, Accessible, Interoperable, Reusable), the platform has grown rapidly. It now Read More...
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Bioinformatics
11/15/2022 - This workshop, geared toward researchers and information professionals, will provide an overview of appraising and preparing research data for the purpose of data sharing through the Data Curation Network’s CURATE(D) model. During Read More...
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Bioinformatics
11/01/2022 - Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in tens of Read More...
Web Page
Bioinformatics
09/15/2022 - Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in tens of Read More...
Web Page
Bioinformatics
09/01/2022 - Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in tens of Read More...
Web Page
Bioinformatics
06/15/2022 - Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in tens of Read More...
Web Page
Bioinformatics
05/10/2022 - Overview Python is one of the preferred programming languages for scientists to solve a wide variety of biological problems. We find that many scientists who come to Software Carpentry workshops use Python and want Read More...
Web Page
Bioinformatics
02/07/2022 - Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in tens of Read More...
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Bioinformatics
Installing R, RStudio, and Rtools on Windows Goto https://www.r-project.org and click on "download R". Select a US mirror site to download from (for instance http://cran.wustl.edu/ ). Select " Read More...
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Bioinformatics
10/14/2021 - Meeting Link Forward genetic screens using CRISPR (clustered regularly interspaced short palindromic repeats)–associated nucleases like Cas9 are a powerful tool to pinpoint genes involved in disease. Initial screens capitalized on genome-scale libraries to Read More...
Web Page
Bioinformatics
09/01/2021 - Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in tens of Read More...
Web Page
Bioinformatics
04/14/2021 - Register Session Description Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited Read More...
Web Page
Bioinformatics
11/05/2020 - Register Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in tens Read More...
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Bioinformatics
06/16/2020 - The capability to unambiguously and comprehensively identify thousands of metabolites and other chemicals in clinical samples, including the microbiome, will revolutionize the search for environmental, dietary, and metabolic determinants of health and disease. By Read More...
Web Page
Bioinformatics
05/28/2020 - Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in tens of Read More...
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Bioinformatics
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...
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Bioinformatics
01/09/2020 - Description In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the Read More...
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The Genomics Laboratory (formerly Laboratory of Molecular Technology) is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, together with associated laboratory automation systems, data analysis, and information management Read More...
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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
Core Facility
The research conducted within the Synthetic Biologics Core (SBC) Facility has a dual role: Generate chemical biology tools and drug candidates for molecular targets identified by NCI research groups, Develop novel effective methods and tools Read More...
Bethesda, MD
Collaborative
The NCI High-Throughput Imaging Facility (HiTIF) works in a collaborative fashion with NCI/NIH Investigators by providing them with the necessary expertise, instrumentation, and software to develop and execute advanced High-Throughput Imaging (HTI) assays. These Read More...
Bethesda, MD
Core Facility
The Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase Read More...
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Bioinformatics
Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...
Web Page
Bioinformatics
Data visualization with ggplot2 Objectives To learn how to create publishable figures using the ggplot2 package in R. By the end of this lesson, learners should be able to create simple, pretty, and effective figures. Read More...
Web Page
Bioinformatics
Introduction to ggplot2 Objectives Learn the ggplot2 syntax. Build a ggplot2 general template. By the end of the course, students should be able to create simple, pretty, and effective figures. Data Visualization in the tidyverse Read More...
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Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...
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Bioinformatics
Lesson 2: Getting Started with R on Biowulf Learning objectives Understand how R can be deployed on Biowulf Understand how to access and use R modules Learn to create a custom R library on Biowulf Deploying Read More...
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Bioinformatics
Lesson 4: Submitting R Scripts via command line Learning Objectives Learn how to use R with less interaction Learn how to deploy sbatch R jobs, and learn about alternatives such as swarm . Learn about R job 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
Multi-figure panel Objectives Combine multiple plots into a single figure Learn how to use patchwork and cowplot The primary purpose of this lesson is to learn how to combine multiple figures into a single multi-panel Read More...
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Bioinformatics
Objectives Combine multiple plots into a single figure Learn how to use aspects of cowplot and patchwork The primary purpose of this lesson is to learn how to combine multiple figures into a single multi-panel Read More...
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Bioinformatics
Stat Transformations: Bar plots, box plots, and histograms Objectives Review the grammar of graphics template Learn about the statistical transformations inherent to geoms Review data types Create bar plots, box & whisker plots, and histograms. Read More...
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Bioinformatics
/* Whole document: */ body{ font-family: Times; font-size: 16pt; } Stat Transformations: Bar plots, box plots, and histograms Objectives Review the grammar of graphics template Learn about the statistical transformations inherent to geoms Review data types Create bar Read More...
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Bioinformatics
Introduction to ggplot2 Objectives Learn how to import spreadsheet data. Learn the ggplot2 syntax. Build a ggplot2 general template. By the end of the course, students should be able to create simple, pretty, and effective Read More...
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Bioinformatics
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...
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Bioinformatics
Scatter plots and plot customization Objectives Learn to customize your ggplot with labels, axes, text annotations, and themes. Learn how to make and modify scatter plots to make fairly different overall plot representations. Load a Read More...
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Bioinformatics
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...
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Bioinformatics
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...
Web Page
Bioinformatics
Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...
Web Page
Bioinformatics
Data visualization with ggplot2 Objectives To learn how to create publishable figures using the ggplot2 package in R. By the end of this lesson, learners should be able to create simple, pretty, and effective figures. Read More...