Search Results for: chromatin structure

The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural CryoEM (NICE) Consortium NICE provides NCI, NIAID, NIEHS, NICHD, NIDCR, NEI, and NIA investigators with Read More...

DTP maintains a repository of synthetic compounds and pure natural products that are available to investigators for non-clinical research purposes. The Repository collection is a uniquely diverse set of more than 200,000 compounds that have been 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...

Home About the Biophysics Core Biophysics Core Services [tabby title="Instrumentation"] NHLBI Biophysics Core The Biophysics Core Facility: Overview Core Facilities provide scientific resources, cutting-edge technologies and novel approaches to support DIR scientists. Availability of Read More...

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 protein, macromolecular complexes, membrane receptors, cellular organelles, and Read More...

NCI established the Nanotechnology Characterization Laboratory (NCL) to support the extramural research community to accelerate the progress of nanomedicine by providing preclinical characterization and safety testing of nanoparticles. It is a collaborative effort between NCI, Read More...

Services: Biophysics Facility offers CD as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: CD spectroscopy measures the difference Read More...

Back Services: Biophysics Facility offers CD as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: CD spectroscopy measures the 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...

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...

Back Services: Biophysics Facility offers fluorometers as open-access instruments.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3226 Description: Some substances reemit light after Read More...

The Biophysics Core’s mission is to provide support in the study of macromolecular interactions, dynamics, and stability by offering consultations, training, professional collaborations, and instrument access. General Services Multi-technique molecular interaction studies, Kinetic and Read More...

CREx News & Updates May 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...

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...

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...

[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...

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

04/09/2025 - Dr. Aristotelis Tsirigos will present a seminar titled "Investigating the role of 3D chromatin in gene regulation using data integration and machine learning" for the LRBGE Seminar Series.

11/28/2023 - Recent advances in protein structure prediction methods such as AlphaFold2 and ESMFold has enabled protein structure prediction to achieve experimental accuracy in certain cases. In this talk, we will discuss the advantages and limitations Read More...

10/22/2024 - Popular structure prediction program AlphaFold3 and its competitor Chai-1 recently added capabilities to predict 3D RNA structures straight from sequence input. In this talk, we will discuss some test cases for these programs and Read More...

This is a very helpful command used for moving around the directory structure. It can be used to go to a specific directory. Let's "go to" the directory we just made, and Read More...

Learn about the structure of FASTQ files Create a text file contains the base names of the HBR and UHR FASTQ files so that we can use those in the future (base names are file Read More...

Now that we have renv set up with our project, let's also establish a project structure. Let's exit R and edit our .Rprofile . Note When we ran renv::init() a local .Rprofile file Read More...

Multicolor imaging Fluorescence imaging is used for protein localization and colocalization in 3D. Multi-color imaging is necessary to observe colocalization of several proteins in the same cell. Many fluorescent proteins are now available for multi-color Read More...

09/22/2021 - Registration is required. During this upcoming webinar, Dr. Yanjun Qi will demonstrate AttentiveChrome, an attention-based deep learning approach that uses a unified architecture to model and interpret interactions and dependencies among the chromatin factors Read More...

06/08/2020 - Extensive investigations have revealed intra-genomic variation in somatic mutation rates influenced by the sequence composition, structure, and local chromatin features of the genome. I will review the literature on mechanisms underlying the intra-genome mutational Read More...

Our Team Tatiana S. Karpova Ph.D.Core Headkarpovat@nih.govBuilding 41, Room C615240-760-6637 David A. Ball Ph.D.Core Biologistballa@nih.govBuilding 41, Room B114D240-760-6577 Mohamadreza Fazel, Ph.D.Core Biologistmohamadreza. Read More...

04/22/2021 - Abstract: Single-cell RNA-sequencing has emerged as a popular technique for dissecting temporal processes such as tumor development and cell differentiation from snapshots of asynchronous ensembles of cells. Ongoing efforts in this area are now Read More...

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

Tidy data is an approach (or philosophy) to data organization and management. There are three rules to tidy data: (1) each variable forms its own column, (2) each observation forms a row, and (3) each value has its Read More...

2016-2024 Publications using images obtained in OMC

General questions or comments about the BTEP program or classes should be addressed to: NCIBTEP@nih.gov Amy Stonelake, Ph.D . BTEP Program Manager and Bioinformatics Analyst amy.stonelake@nih.gov I am an experienced Read More...

01/13/2026 - The past decade has witnessed thriving cell atlas research activities in elucidating human cell types and their organization principles. The NIH BRAIN Initiative launched a pilot 3-year BRAIN Initiative Cell Census Consortium (BICCC) in 2014, Read More...

04/03/2025 - Open to HHS Staff Only The goal of the NCI RNA Biology Initiative is to establish a collaborative environment that promotes the swift exchange of information and expertise regarding the structure, function, and biological Read More...

09/12/2024 - Telomere to telomere (T2T) genome assemblies represent a paradigm shift in comparative genomics, offering insights into chromosome structure, evolution, and function at the highest resolution. Dr. O'Neill's lab has made recent Read More...

07/19/2024 - The molecular mechanisms underlying many types of cancer involve aberrances in trans-acting factors and their binding to cis-regulatory elements to regulate gene expression. Techniques such as ChIP-seq, DNase-seq, and ATAC-seq are commonly used to Read More...

06/06/2024 - The CCR Genomics Core Facility is pleased to host a virtual technology workshop with EpiCypher on CUT&RUN library prep/sequencing Presentation overview: The location of histone post-translational modifications and chromatin-associated proteins Read More...

Data frames hold tabular data comprised of rows and columns; they can be created using data.frame() . To understand more about the structure of an object and data frame, consider the following functions: str() displays 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...

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...

Before diving into subsetting with dplyr , let's take a step back and learn to subset with base R. Subsetting a data frame is similar to subsetting a vector; we can use bracket notation [] . However, 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...

Factors are an important data structure in statistical computing. They are specialized vectors (ordered or unordered) for the storage of categorical data. While they appear to be character vectors, data in factors are stored as Read More...

#Create a list My_exp

Data organization is extremely important to reproducible science. Consider organizing your project directory in a way that facilitates reproducibility. All inputs and outputs (where possible) should be contained within the project directory, and a consistent Read More...

Work through DNAnexus? Find a nice cancer data set for 16S and shotgun Divide into two workshops or courses? Course structure or workshop structure? Amplicon processing and analysis (5 week course) (4 weeks) 1. Talk by Greg Caparaso? 1. Read More...

Microbiome Course Course Outline Work through DNAnexus? Find a nice cancer data set for 16S and shotgun Divide into two workshops or courses? Course structure or workshop structure? Amplicon processing and analysis (5 week course) (4 weeks) 1. Read More...

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...

09/13/2023 - FORGEdb is a web-based tool that can rapidly integrate data for individual genetic variants, providing information on associated regulatory elements, transcription factor (TF) binding sites and target genes for over 37 million variants.   Read More...

In this lesson, we introduced the structure of the FASTQ file and learned to assess quality of raw sequencing data using FASTQC. Here, we will practice what we learned using the Golden Snidget dataset.

Review the course syllabus and general structure of lessons to come. Introduce Unix and describe how it differs from other operating systems. Introduce and get set up on DNAnexus and the GOLD system. Discuss ways Read More...

In the previous lesson, we learned about the structure of the FASTQ file, which stores our raw sequencing reads. Next, we learned to use a tool called FASTQC to assess the quality of each of Read More...

Learn the basic structure of a unix command Learn how to navigate our file system, including absolute vs relative directories Learn unix commands related to navigating directories, creating files and removing files or directories, and Read More...

pwd You should see something like this. /home/username where username is your name. This is your home directory - where you start from when you open a terminal. This is an example of a & Read More...

Data frames hold tabular data comprised of rows and columns; they can be created using data.frame() . To understand more about the structure of an object and data frame, consider the following functions: str() displays Read More...

Things to consider: R Projects are generally created with intent to use with RStudio; you do not need to create an "R project" to organize a project directory. When creating a project directory: Read More...

03/10/2026 - This one-hour online training, is the first of a two-part series, which introduces participants to cleaning and exploring a patient health dataset using Python and pandas. Attendees will load tabular data, inspect structure and 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...

03/20/2025 - This class will serve as a review for essential Unix commands needed for bioinformatics. It is suitable for those who took BTEP's recent Bioinformatics for Beginners course series ( https://bioinformatics.ccr.cancer.gov/ Read More...

01/22/2025 - Join us for a one-hour talk investigating tumor signatures in the BRCA dataset by utilizing the CCBR Single-Cell RNA-seq Workflow on NIDAP. This talk will take you through an analysis of a publicly available 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...

05/15/2024 - In this one-hour webinar, you'll get a demonstration of DNASTAR Lasergene Software. DNASTAR offers software solutions for molecular biology, protein analysis, and genomics. This presentation will focus on an overview of the applications Read More...

According to Wikipedia, a path is "a string of characters used to uniquely identify a location in a directory structure." Therefore, a file path simply tells us where a file or files are 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...

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...

Bioconductor packages are divided into four types: software annotation data experiment data workflows. Software packages themselves can be subdivided into packages that provide infrastructure (i.e., classes) to store and access data, and packages that 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...

01/19/2024 - Trey Ideker, Ph.D., is a professor of medicine, bioengineering, and computer science, and former chief of genetics at the University of California San Diego (UCSD). Additionally, he is director or co-director of the Read More...

R is generally thought of as a functional programming language, where the focus is on the functions rather than the object, and the output of the function is always the same given the same inputs. Read More...

S4 is a rigorous system that forces you to think carefully about program design. It’s particularly well-suited for building large systems that evolve over time and will receive contributions from many programmers. --- Advanced Read More...

This practice lesson is associated with Lesson 6 of the Microbiome Analysis with QIIME 2. In this practice lesson, we will view beta diversity results and determine whether our two conditions (old vs young) demonstrate significant differences Read More...

Practice Lesson 6 This practice lesson is associated with Lesson 6 of the Microbiome Analysis with QIIME 2. In this practice lesson, we will view beta diversity results and determine whether our two conditions (old vs young) demonstrate 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...

09/14/2023 - This is Lesson 2 of the Fall 2023 Introduction to Unix on Biowulf Series . Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...

Here's a good Unix trick to know - tab complete. Start typing the name of the file or directory you want, and hit the tab key. The system will auto-complete the name of the Read More...

Using ls as an example, we can get an idea of the overall structure of a unix command. Image inspired by "Learn Enough Command Line to Be Dangerous" The first thing we see Read More...

Many of the tools used to understand functional enrichment will use sets of GO terms, examining GO enrichment. What do we mean by GO? The Gene Ontology (GO) provides a framework and set of concepts Read More...

There are a number of specific solutions that have been devised to address the issues created by attempting to map mRNA to DNA genomes. Each of these has its advantages and disadvantages. Align against the Read More...

Bioinformatics for beginners Module 2: Introduction to RNA sequencing In this module, we will use the Human Brain Reference and Universal Human Reference RNA sequencing datasets to learn about RNA sequencing. Each lesson will be followed Read More...

First Unix command (ls) ls You may see something like this: public reads.tar sample.fasta sample.fastq The "ls" command "lists" the contents of the directory you are in. You Read More...

First Unix command (ls) ls You may see something like this: public reads.tar sample.fasta sample.fastq The "ls" command "lists" the contents of the directory you are in. You Read More...

Lesson 10 Practice Objectives In this lesson, we introduced the structure of the FASTQ file and learned to assess quality of raw sequencing data using FASTQC. Here, we will practice what we learned using the Golden Read More...

First Unix command (ls) ls You may see something like this: public reads.tar sample.fasta sample.fastq The "ls" command "lists" the contents of the directory you are in. You Read More...

First Unix command (ls) ls You may see something like this: public reads.tar sample.fasta sample.fastq The "ls" command "lists" the contents of the directory you are in. You Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Lesson 2: Navigating file systems with Unix Quick review Unix is an operating system We use a unix shell (typically bash) to run many bioinformatics programs We need to learn unix to use non-GUI based tools 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...

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...

Partek Flow enables scientists to build comprehensive workflows for analyzing multi-omics high throughput sequencing data including DNA and variant calling, bulk and single cell modalities for RNA, ChIP, and ATAC, spatial transcriptomics, CITE, and immune 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...

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...

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...

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...

This lesson will introduce data wrangling with R. Attendees will learn to filter data using base R and tidyverse (dplyr) functionality. Learning Objectives Understand the concept of tidy data. Become familiar with the tidyverse packages. 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...

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...

Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To learn about options for report generation with R: RMarkdown and Quarto. Introducing Bioconductor Bioconductor is both an open source project Read More...

For this lesson, we will use sample metadata and differential expression results from the airway RNA-Seq project. Let's begin by importing the data. #sample information smeta ## 1 GSM1275862 N61311 untrt untrt SRR10395… 126 SRX384345 SRS50… SAMN0242… ## 2 Read More...

Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To better understand S4 objects as they relate to the Bioconductor core infrastructure. To learn more about a popular Bioconductor S4 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...

Introduction to dplyr and the %>% Objectives Today we will begin to wrangle data using the tidyverse package, dplyr . To this end, you will learn: how to filter data frames using dplyr how to employ Read More...

Recall that the Golden Snidget data resides in ~/biostar_class/snidget folder. Can you change into the folder and find where the sequencing reads are (ie. in which folder they are located)? {{Sdet}} Solution{{Esum}} Read More...

Alignment RNASeq Mapping Challenges The majority of mRNA derived from eukaryotes is the result of splicing together discontinuous exons, and this creates specific challenges for the alignment of RNASEQ data. Mapping Challenges Reads not perfect Read More...

Lesson 1: Introduction to Unix and the Shell Lesson Objectives Review the course syllabus and general structure of lessons to come. Introduce Unix and describe how it differs from other operating systems. Introduce and get set Read More...

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

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

This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinfo environment. conda activate bioinfo Then create a new directory for files we will be working with today in Read More...

More useful Unix Flags and command options - making programs do what they do Use of wildcards Using tab complete for less typing Access your history with the "up" and "down" Read More...

Gene ontology and pathway analysis Objectives Determine potential next steps following differential expression analysis. Tour geneontology.org and understand the three main ontologies. Learn about different methods and tools related to functional enrichment and pathway Read More...

More useful Unix Flags and command options - making programs do what they do Use of wildcards Using tab complete for less typing Access your history with the "up" and "down" Read More...

More useful Unix Flags and command options - making programs do what they do Use of wildcards Using tab complete for less typing Access your history with the "up" and "down" Read More...

Lesson 4: Useful Unix For this lesson, you will need to login to the GOLD environment on DNAnexus. Lesson 3 Review Biowulf is the high performance computing cluster at NIH. When you apply for a Biowulf account Read More...

Lesson 11: Merging FASTQ quality reports and data cleanup Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 10 Review In the previous lesson, we learned about the structure of the FASTQ Read More...

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