Search Results for: wild type

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Spotlight The NIH Lab Managers Working Group have developed a new NIH-wide database of cold Read More...

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...

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

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Research Festival The NIH Research Festival highlights the groundbreaking science and the vibrant NIH community driving our Read More...

The Clinical Image Processing Service (CIPS) offers timely and accurate advanced image processing of diagnostic radiology images for clinical care, research, and training. CIPS’ functions include clinical services and scientific researches. Established Technologies CIPS can Read More...

The Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative The STRIDES Initiative aims to help NIH and its institutes, centers, and offices (ICOs) accelerate biomedical research by reducing barriers in utilizing Read More...

Supplemental Technology Award Review System (STARS) Overview STARS Request Form STARS System The Supplemental Technology Award Review System (STARS) is a web-based interface for submission and review of S&S supplement requests by CCR Read More...

Back Services: Biophysics Facility offers MST as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar.  Training includes the KD determination of a Read More...

Back Services: Biophysics Facility offers DLS as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes DLS analysis of small- and large-molecular size Read More...

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...

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

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...

When using SingleR, the 3 primary parameters are the experimental dataset, the reference dataset, and the labels being used. Continuing with the main labels of the MouseRNASeq dataset on the full dataset looks like this: annot = Read More...

2016-2024 Publications using images obtained in OMC

04/09/2025 - We will share the summary and feedback from Enhancing Data Reuse in Cancer Research Workshop Series hosted by our office in June and July 2024. Join us as we explore: feedback from NCI Data Reuse Read More...

Much like pseudobulk differential expression, the RNA expression can be collapsed into pre-defined components, such as the clusters, if it is believed that cell-to-cell variation is inducing too much confusion in the labeling. This collapsing Read More...

There are many other ways to select multiple columns. You may commonly be interested in selecting all numeric columns or all factors. The syntax below can be used for this purpose. select(dexp, where(is. Read More...

04/20/2022 - Qiagen IPA Land Explorer links out to the OmicSoft “Land” collections of disease-relevant datasets (>500,000 samples) directly from within IPA to: Explore sample-level data expression, variation, fusions, and more from 500,000+ datasets Explore full Read More...

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

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

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

10/21/2021 - Announcing a FREE 30 day TRIAL to Qiagen IPA's Land Explorer (an add-on to the existing NCI Qiagen IPA license). If you are interested in access to the FREE TRIAL, please register for this Read More...

The base data type (e.g., numeric, character, logical, etc.) and the class (dataframe, matrix, etc.) will be important for what you can do with an object. Learn more about an object with the following: Read More...

2025 Sebastian R, Sun EG, Fedkenheuer M, Fu H, Jung S, Thakur BL, Redon CE, Pegoraro G, Tran AD, Gross JM, Mosavarpour S, Kusi NA, Ray A, Dhall A, Pongor LS, Casellas R, Aladjem MI. Mechanism Read More...

A vector is a collection of values that are all of the same type (numbers, characters, etc.) --- datacarpentry.org c() - used to combine elements of a vector When you combine elements of different Read More...

Single cell RNASeq is a remarkably powerful tool for analyzing populations of cells that can be recovered from various experiments. Clustering and cell type annotation can be used to distinguish different populations with a level Read More...

There are many tools and strategies available for cell annotation. I've included a non-comprehensive list for your convenience: Azimuth SingleR scType Garnet Digital Cell Sorter . Cell Marker 2.0 Here is a list of resources that Read More...

library(tidyverse) # dplyr and ggplot2; CRAN library(Seurat) # Seurat toolkit; CRAN library(hdf5r) # for data import; CRAN library(patchwork) # for plotting; CRAN library(presto) # for differential expression; Github library(glmGamPoi) # for sctransform; Bioconductor library( Read More...

A geom is the geometrical object that a plot uses to represent data. People often describe plots by the type of geom that the plot uses. --- R4DS There are multiple geom functions that Read More...

Vectors are probably the most used commonly used object type in R. A vector is a collection of values that are all of the same type (numbers, characters, etc.). The columns that make up a Read More...

R doesn't care about spaces in your code. However, it can vastly improve readability if you include them. For example, "thisissohardtoread" but "this is fine". You can use tab completion Read More...

A geom is the geometrical object that a plot uses to represent data. People often describe plots by the type of geom that the plot uses. --- R4DS There are multiple geom functions that Read More...

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

08/19/2026 - Partek Flow is a point-and-click platform for building analysis workflows for Next Generation Sequences (NGS), including DNA, bulk and single-cell RNA, spatial transcriptomics, ATAC, and ChIP, helping scientists avoid the steep learning curve of Read More...

12/10/2025 - Partek Flow enables scientists to construct analysis workflows for multi-omics sequencing data including DNA, bulk and single cell RNA, spatial transcriptomics, ATAC and ChIP. It is a point-and-click software suitable for those who wish Read More...

11/06/2025 - Qlucore Omics Explorer is a point-and-click software that enables analysis of RNA sequencing (bulk and single cell), proteomics and metabolomics data. It’s machine learning capabilities allow for cell type classification. This Read More...

07/21/2025 - Profe or Angela Brook i a leader in the development and application of high-throughput genomic and computational approache to inve tigate gene regulation. Her re earch focu e on characterizing mutation impacting RNA expre Read More...

07/09/2025 - From image analy i to federated learning and multimodal modeling, generative AI can be u ed to tudy ob ervational ucce ion acro cale and data type . At DCEG' Data cience and Engineering Re Read More...

07/09/2025 - This session of the BTEP Coding Club will demonstrate the use of R programming to perform decision tree analysis, survival tree analysis, and random forest. This event complements a Statistics for Lunch event, " Read More...

07/08/2025 - This lesson will introduce the "split-apply-combine" approach to data analysis and the key players in the dplyr package used to implement this type of workflow.

07/08/2025 - Thi pre entation de cribe the ba ic mechanic of con tructing a deci ion tree and interpreting the re ult . Deci ion tree will be u ed to determine factor a ociated with 2 Read More...

06/05/2025 - In the econd cla of the Python Introductory Education erie , participant will tart to dive into Python. Participant will walk away with knowledge of common Python data type and tructure a well a how Read More...

05/07/2025 - Join Dr. Eytan Ruppin, NCI investigator in the Center for Cancer Research, as he discusses Path2Space, a new and unpublished deep learning approach that predicts spatial gene expression directly from histopathology slides. Spatial 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...

04/25/2025 - In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering this two-part online training for non-statisticians interested in understanding the basic, intuitive thinking behind the Read More...

01/23/2025 - AI in Medicine: Focus on Deep Learning in Medical Genomics This series invites Principal Investigators, Senior Scientists, and Senior Clinicians  to share cutting-edge research and developments in their fields. Each session includes a 20-30 Read More...

01/14/2025 - In this talk, we will cover the basics of survival analysis as a statistical methodology developed for censored data. Special emphasis will be on visualizing survival data, comparing survival-time distributions for subject groups, and Read More...

06/20/2024 - Dr. Irizarry will share findings demonstrating limitations of current workflows that are popular in single cell RNA-Seq data analysis. Specifically, he will describe challenges and solutions to dimension reduction, cell-type classification, and statistical significance Read More...

Integration is the process of aligning the same cell types across samples, treatments, data sets, batches, etc. Clustering should represent biological differences and not technical artifacts. Integration is not always necessary. You should run through Read More...

Rather than relying on the above steps ( NormalizeData() , FindVariableFeatures() , and ScaleData() ), we are going to proceed with a newer method ( SCtransform ) instead. This method uses Pearson residuals for transformation, which better accounts for the overall Read More...

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 have already been filtered Read More...

05/22/2024 - This seminar provides an overview of differential expression testing with Seurat. Topics to be covered include preparing data for differential gene expression, d ifferential gene analysis between specific groups, d ifferential gene analysis for Read More...

05/10/2024 - Please join us for the May Data Sharing and Reuse Seminar featuring Dr. Ali Loveys and Fiona Meng from FI Consulting. They will be sharing their presentation on Laying the Foundation for AI-Ready Data. Read More...

04/23/2024 - What’s the difference between “regular” statistics (i.e., what you may have been using in the past several years) and the “new” Bayesian Read More...

Step 1: Goto https://www.globus.org to log in by clicking on the "LOG IN" icon at the top right of the pages. After logging in, select organziational affiliation, which is National Institutes Read More...

After this class, participants will Become familiar analyzing single cell RNA sequencing data using Partek Flow including Importing of data into a Partek Flow project QA/QC, filtering, and normalizing of single cell RNA data Read More...

Given the following R code: numbers

This course will include a series of lessons for individuals new to R or with limited R experience . The purpose of this course is to introduce the foundational skills necessary to begin to analyze and 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...

Data structures are objects that store data. Previously, we learned that vectors are collections of values of the same type . A vector is also one of the most basic data structures. Other common data structures 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...

There is an approach to data analysis known as "split-apply-combine", in which the data is split into smaller components, some type of analysis is applied to each component, and the results are combined. Read More...

Let's use some functions. a. Use sum() to add the numbers from 1 to 10. {{Sdet}} Solution{{Esum}} sum ( 1 : 10 ) {{Edet}} b. Compute the base 10 logarithm of the elements in the following vector and save to an Read More...

There is an approach to data analysis known as "split-apply-combine", in which the data is split into smaller components, some type of analysis is applied to each component, and the results are combined. Read More...

Lesson 2 Exercise Questions: Base R syntax, objects, and data types Let's use some functions. a. Use sum() to add the numbers from 1 to 10. {{Sdet}} Solution{{Esum}} sum ( 1 : 10 ) {{Edet}} b. Compute the base 10 logarithm of Read More...

Everything assigned a value in R is technically an object. Mostly we think of R objects as something in which a method (or function) can act on; however, R functions, too, are R object. R Read More...

Notice that "sample" was treated as numeric, rather than as a character vector. If we intend to work with this column, we will need to convert it or coerce it to a character Read More...

To create an R object, you need a name, a value, and an assignment operator (e.g., or option + - on a mac. Let's create a simple object and run our code. There are Read More...

There may be a time you want to know whether there are specific values in your vector. To do this, we can use the %in% operator ( ?match() ). This operator returns TRUE for any value that Read More...

(Inspired by Visualizing Data in the Tidyverse, a Coursera lesson) Consider whether the plot type you have chosen is the best way to convey your message Make your plot visually appealing Careful color selection - Read More...

In genomics, we work with a lot of tabular data - data organized in rows and columns. The data structure that stores this type of data is a data frame . Data frames are collections of Read More...

A function in R (or any computing language) is a short program that takes some input and returns some output. An R function has three key properties: Functions have a name (e.g. dir, getwd); 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...

In our example data, the sequences are paired-end demultiplexed data . Raw fastq files are currently in a directory named /data/data_to_import . QIIME2 has specific functions for importing specific types of raw sequencing data. Read More...

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

Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...

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...

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...

02/26/2026 - Scientific discovery is increasingly limited not by data availability, but by our ability to integrate evidence, generate hypotheses, and iteratively test them at scale. Recent advances in foundation models and large language models suggest Read More...

01/15/2026 - Gil Kanfer, PhD, of the NCI CCR High-Throughput Imaging Facility (HiTIF), in the Laboratory of Receptor Biology and Gene Expression (LRBGE) , will present the spatial biology analysis stack HiTIF is building to support Center Read More...

11/05/2025 - This talk delves into the innovative utilization of generative AI in propelling biomedical research forward. By harnessing single-cell sequencing data, we developed scGPT, a foundational model that extracts biological insights from an extensive dataset Read More...

nf-core is a community effort to generate a curated set of standardized, best-practice, reproducible, documented, NGS analysis pipelines. All these workflows are built using the versatile workflow manager, Nextflow , and have been released under the Read More...

The computational chemistry and protein modeling team in the Advanced Biomedical Computational Science (ABCS) group provides novel solutions in structural modeling and computational chemistry. Computational scientists in the group collaborate with NCI researchers by using Read More...

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

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...

12/05/2024 - This one and a half hour online training will provide a demonstration of how to identify cell types based on statistics, visualization, and canonical markers. One Peripheral blood mononuclear cells (PBMCs) sample will be Read More...

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

10/16/2024 - Dear Colleagues,   Thanks to advances in single-cell genomics, researchers can construct large-scale organ atlases, giving you more accurate ways to study genetic mutations and alterations related to drug responses and disease. These Read More...

Congratulations, your experiments have been completed and you have a large amount of data. Now, it’s time to analyze these data. But where do you begin? How can you gain the most meaning from Read More...

07/25/2024 - This hour and half in-person training will explore the topics of perception and cognition, and how these apply to data visualization. There will also be a discussion on “pre-attentive” properties Read More...

07/24/2024 - This hour and half in-person training will explore the topics of perception and cognition, and how these apply to data visualization. There will also be a discussion on “pre-attentive” properties Read More...

Following Cell Ranger and/or other pre-processing tools, you will have a gene-by-cell counts table for each sample. The three most popular frameworks for analyzing these count matrices include: R ( Seurat ). Seurat, brought to you Read More...

The Seurat Object is a data container for single cell RNA-Seq and related data. It is an S4 object, which is a type of data structure that stores complex information (e.g., scRNA-Seq count matrix, Read More...

Some tools have been described in the previous session (see here ). Today, we will be focusing on the SingleR tool, which also requires the celldex package . In short, SingleR operates by comparing your current dataset Read More...

Clustering is used to group cells by similar transcriptomic profiles. Seurat uses a graph based clustering method. You can read more about it here . The first step is to compute the nearest neighbors of each Read More...

04/22/2024 - Intended Audience This webinar targets researchers interested in exploring genomic mutation analysis capabilities within the recently introduced NCI Genomic Data Commons (GDC) 2.0 platform. It aims to accommodate individuals interested in analyzing genes and mutations Read More...

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

03/05/2024 - This in-person, hands-on training will introduce participants to single cell RNA sequencing analysis using Partek Flow, a point-and-click software for analyzing high dimensional multi-omics sequencing data. At NIH, Partek Flow is hosted on the Read More...

Accessing Partek Flow at NIH and tips for data transfer Learning objectives Instructions for accessing Partek Flow NCI researchers can find instructions for accessing Partek Flow at https://bioinformatics.ccr.cancer.gov/btep/partek-flow-bulk-and-single-cell-rna-seq-data-analysis/ . But Read More...

Course Overview Partek Flow is a start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with Read More...

To access the NIH Partek Flow server, go to https://partekflow.cit.nih.gov/flow and enter the user's NIH username and then password. Note User may have selected a password different than that Read More...

These steps can be used to create a publish worthy figure. For example, let's create a volcano plot of our differential expression results. A volcano plot is a type of scatterplot that shows statistical Read More...

Let's look a bit into our RStudio layout. Source : This pane is where you will write/view R scripts. Some outputs (such as if you view a dataset using View() ) will appear as a Read More...

Objectives To understand some of the most basic features of the R language including: Creating R objects and understanding object types Using mathematical operations Using comparison operators Creating, subsetting, and modifying vectors By the end Read More...

The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . You can obtain the data outside of class here . The diffexp_ Read More...

Lesson 5 Exercise Questions: Tidyverse The filtlowabund_scaledcounts_airways.txt includes normalized and non-normalized transcript count data from an RNAseq experiment. You can read more about the experiment here . You can obtain the data outside of Read More...

Course Overview Welcome to the R Introductory Series! A series of introductory lessons in R for scientists. This course will include a series of lessons for individuals new to R or with limited R experience . 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...

The object that we imported, scaled_counts , is a data frame. Let's learn a bit more about our data frame. First, we can learn more about the structure of our data using str() . We Read More...

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...

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...

Learning Objectives To understand: 1. the difference between R and RStudioIDE. 2. how to work within the RStudio environment including: creating an Rproject and Rscript navigating between directories using functions obtaining help how R can enhance data Read More...

In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to Read More...

In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to Read More...