Search Results for: Signal Processing

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

The facilities at AIM are available for use by the entire NIH intramural research community. While we welcome users with any size imaging project, AIM specializes in large, yearlong (or longer), collaborative research efforts with Read More...

The NCI Clinical Research Correlatives Core provides non-CLIA-certified spectral flow cytometric assays to support clinical trials conducted in the CCR. The core specializes in immunophenotyping and immune monitoring assays. Established Technologies Spectral flow cytometry (Cytek), Read More...

Back Services: This instrument is not user accessible.  We provide both data collection and data analysis services. Location: Building 50, room 3331 Description: An analytical ultracentrifuge is equipped with absorption and interference optical systems that monitor Read More...

LCMB Microscopy Core offers live cell imaging technologies as well as super-resolution, fluorescence lifetime and confocal imaging systems for immunofluorescence. Our confocal instruments are a Leica SP8 laser scanning confocal microscope and a Nikon spinning Read More...

Back Services: Biophysics Facility offers ITC calorimeters as open-access instruments.  First-time users must complete a short training session before gaining access to the instrument reservation calendar.  Training includes performing a test experiment and Read More...

The Cancer and Inflammation Program – Microbiome and Genetics Core (CIP-MGC) grew out of the former CIP Genetics Core to meet the increasing need for sequencing and analysis of commensal microbiota within CIP and NCI. The Read More...

Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols.  This service is intended for the occasional users of this system.  Researchers who expect to use this instrument Read More...

Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols.  This service is intended for the occasional users of this system.  Researchers who expect to use this instrument Read More...

Home About the Biophysics Core Biophysics Core Technologies We provide consultations and advice on the applications of biophysical methods. If you would like to discuss the requirements of a particular technique or consider selecting the 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...

TCIA is a service which de-identifies and publishes medical images of cancer for download. New data proposals are reviewed by an Advisory Group on a quarterly basis. The data are organized as “collections”; typically, patients’ Read More...

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...

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...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Extramural Common Fund Resources Metabolomics Workbench Developed by the NIH Metabolomics Common Fund's National Metabolomics Data Repository ( 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 CHTN is a unique NCI-supported resource that provides human tissues and fluids from routine procedures to investigators who utilize human biospecimens in their research. Unlike tissue banks, the CHTN works prospectively with each investigator Read More...

Proteomic Data Common (PDC) represents the NCI’s largest public repository of proteogenomic comprehensive tumor datasets, essentially a Proteogenomic Cancer Atlas. It was developed to advance our understanding of how proteins help shape the risk, Read More...

.row { display: flex; justify-content: space-around; align-items: flex-start; margin: 20px; } .column { text-align: center; padding: 10px; width: 30%; } .column img { display: block; margin: 0 auto; width: 150px; height: 150px; } .column strong { display: block; margin-top: 10px; } Background: Intravital microscopy (IVM) Read More...

Cores & Facilities From centralized laboratories to collaborative resources and technologies available to CCR Investigators. NCI Cores Centralized laboratories providing broad access to cutting-edge technologies and specialized expertise. Browse NCI Cores Collaborative Resources are technologies and Read More...

As a multi-user facility, the different instruments provide a wide range of imaging modes for EIB scientists, from standard immunohistochemistry, through brightfield and wide-field epifluorescence imaging, to highly complex live cell confocal microscopy and super-resolution Read More...

The PET Department, CC, functions as a core facility that supports basic, translational, and clinical research using PET. It is a vertically integrated facility, with resources to produce positron-emitting radionuclides, manufacture PET radiopharmaceuticals in a Read More...

The Department of Laboratory Medicine provides state-of-the-art laboratory testing in support of Clinical Center patient care and will serve as a center of excellence in research and training in laboratory medicine, particularly in areas which Read More...

The core provides access to several different state-of-the-art 3D microscopes as well as computers to visualize and process image data. The facility houses equipment for 2D or 3D imaging of fixed and living specimens. High Read More...

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...

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...

The Division of Veterinary Resources Animal Surgery has supported large animal research and clinical care for more than 40 years. DVR surgeons provide outstanding and highly specialized large animal (rabbits, ungulates, etc.) research support in a 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...

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...

Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions Read More...

05/29/2024 - Dear Colleagues,   As machine learning permeates across biomedical research, achieving optimal accuracy demands more than just model deployment.  Join us for a webinar where we explore post-processing techniques designed to Read More...

FRET (Fluorescence Resonance Energy Transfer) FRET is a light microscopy method for detecting protein‐protein interactions within intact cells. FCS (Fluorescence Correlation Spectroscopy) Fluorescence correlation spectroscopy (FCS) is a correlation analysis of fluctuation of the Read More...

05/14/2024 - Participants will learn how to develop artificial intelligence (AI) applications using MATLAB, even if they do not have a formal background in machine and deep learning. The goal of this course is to introduce Read More...

10/17/2023 - Labeling signal data is a very important step in creating AI-based signal processing solutions.  However, this step can be very time consuming and manual. Read More...

05/15/2023 - Participants will learn how to develop artificial intelligence (AI) applications using MATLAB, even if they do not have a formal background in machine and deep learning. The goal of this course is to introduce Read More...

09/24/2021 - Participants will learn how to develop artificial intelligence (AI) applications using MATLAB, even if they do not have a formal background in machine and deep learning. The goal of this course is to introduce Read More...

10/20/2020 - Participants will learn how to develop artificial intelligence (AI) applications using MATLAB, even if they do not have a formal background in machine and deep learning. The goal of this course is to introduce Read More...

09/30/2024 - In this webinar, you'll gain insights into the Electronic Medical Record Search Engine (EMERSE). EMERSE is a simple, powerful tool to help researchers like you identify key data within free text clinical notes Read More...

02/23/2024 - Register for this presentation on recent efforts in developing methodologies and software tailored for important clinical natural language processing (NLP) tasks such as information extraction and question answering.   Advancements in large language Read More...

04/13/2023 - In this hands-on virtual lab, the participants will familiarize themselves with Deep Learning concepts and techniques, using MATLAB Online to train deep neural networks on GPUs in the cloud, create Read More...

11/17/2022 - In this hands-on virtual lab, the participants will familiarize themselves with Deep Learning concepts and techniques, using MATLAB Online to train deep neural networks on GPUs in the cloud, create deep learning models from Read More...

06/15/2021 - In this hands-on virtual lab, the participants will familiarize themselves with Deep Learning concepts and techniques, using MATLAB Online to train deep neural networks on GPUs in the cloud, create deep learning models from 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...

01/16/2026 - This one-hour online training introduces applying data science and artificial intelligence (AI) techniques to signals and time-series datasets using MATLAB. The training will cover the entire AI pipeline, from signal exploration to deployment. Participants Read More...

09/22/2025 - This one-hour online training introduces applying data science and artificial intelligence (AI) techniques to signals and time-series datasets using MATLAB. The training will cover the entire AI pipeline, from signal exploration to deployment. Participants Read More...

04/07/2025 - AI Club is a weekly meeting that explores various topics relating to AI and deep learning in biomedical sciences, typically in a seminar, workshop, or journal club format. AI Club is intended to be Read More...

01/28/2025 - This talk will cover how our group uses the resources of the FRCE cluster to process cryo-electron microscopy data collected in-house. This session is geared towards beginner users. This session will be recorded, and Read More...

The data is available in the Sequence Read Archive (BioProject PRJNA803155 ), so the first step is to grab the data from the SRA. For your convenience, we have also created a compressed archive of the 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...

10/23/2024 - This one-hour online training will cover tips and tricks to run your processing against large datasets more efficiently in SAS.   By the end of this training, attendees will be able Read More...

Software Image Acquisition Commercial imaging systems of LRBGE Optical Microscopy Core are controlled by acquisition software specifically designed for the appropriate microscope, such as ZEN (Zeiss confocal microscopes), Nikon Elements (Nikon), Imspector (Abberior). Custom-built HILO Read More...

01/14/2025 - Join us for a webinar on EMERSE, a text processing system designed specifically for non-technical users, featuring David Hanauer, M.D., M.S. from the University of Michigan Medical School. EMERSE (Electronic Medical Record Read More...

06/12/2024 - Macros are ways to use code to substitute in a value, and using macros makes a code in SAS easier to read and edit, less prone to errors, and allows it to run more Read More...

This tutorial assumes that all pre-processing steps (read demultiplexing, FASTQ QC, reference based alignment, error correction) have been completed. At this stage of the analysis, a gene-by-cell count matrix has been generated for each sample.

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...

02/21/2017 - This BTEP Workshop will cover the fundamentals and best practices of Exome-Seq analysis, including downstream interpretation of variants using a variety of in-house and NCI-licensed software solutions. There will be hands-on training on CCBR Read More...

The role of cell clustering is to identify cells with similar transcriptomic profiles by computing Euclidean distances across genes . However, scRNA-Seq experiments include highly dimensional data, with each cell associated with the expression of thousands Read More...

05/22/2024 - The ISB-CGC (Cancer Gateway in the Cloud) hosts data from programs such as The Cancer Genome Atlas Program (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC) in Google BigQuery where it can be quickly Read More...

04/22/2024 - Dear Colleagues,    In this webinar, you'll get an introduction to XNAT. XNAT is an open-source platform for managing, processing, and sharing medical imaging and related data in research settings. & Read More...

QIIME2 is a platform for the processing and analysis of microbiome sequencing data. A general amplicon workflow in QIIME2 may look like the following: Image adapted from QIIME2 documentation (Conceptual overview of QIIME2) The first Read More...

If we want to retain only the samples included in our diversity analyses, we can use qiime feature-table filter-samples to drop samples with read depths less than 10,000. qiime feature-table filter-samples \ --i-table filtered-table-3.qza \ --p-min-frequency 10000 \ --o-filtered-table Read More...

11/01/2023 - Analysis of medical images such as MRI, CT, X-ray and ultrasound requires a comprehensive environment for data access, visualization, processing, and algorithm development. MATLAB provides tools such as Medical Imaging Toolbox and Deep Learning Read More...

login node (head node) Used for submitting resource intensive tasks as jobs Editing and compiling code File management and data transfers on a small scale compute nodes (worker nodes) For computational processes Requires interaction with Read More...

07/18/2023 - When it comes to data analysis and visualization, technical professionals who use Excel often encounter functional limitations. MATLAB supplements the capabilities of Excel by providing access to pre-built mathematical and analysis functions, visualization tools, Read More...

06/22/2023 - The Bhattacharya Lab at the UCSF Parnassus Campus is focused on the functional role of monocyte-derived macrophages in the onset and persistence of fibrosis in the lung. We are addressing the following major questions, Read More...

Gianluca Pegoraro, PhD gianluca.pegoraro@nih.gov Facility Head 240-760-6696 Bldg. 41, Room B909 Dr. Pegoraro received his Ph.D. in Molecular Genetics from the International School of Superior Studies in Trieste, Italy in 2004. After Read More...

ZEISS Elyra 7 with Lattice SIM² Type: Wide-field structured illumination microscope Capabilities: Super resolution 2D and 3D imaging of live or fixed cells Apotome SIM: 170 nm lateral, 450 nm axial Apotome SIM2: 140 nm lateral, 300 nm axial Lattice 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...

08/08/2025 - Dr. Jay Patel is a clinician-scientist uniquely trained in both dentistry and informatics/computer science. As the Director of Artificial Intelligence (AI), Data Science, and Informatics, he leads efforts to reuse and integrate real-world Read More...

07/15/2025 - Single-cell technologies enable the discovery of many novel cell phenotypes, but this growing body of knowledge remains fragmented across the scientific literature. Natural language processing (NLP) offers a promising approach to extract this information Read More...

04/16/2025 - Updated Location: ATRF, Frederick MD, Main Auditorium What to bring:  Laptop capable of connecting to internet via NIH wifi For questions or to register, please contact Amy Stonelake ( amy.stonelake@nih.gov ) Read More...

04/15/2025 - What to bring:  Laptop capable of connecting to internet via NIH  wifi Are you looking to expand the reach of your sequencing to enable what long read technologies can provide?& Read More...

04/10/2025 - This one hour online training introduces participants to the tools and techniques for analyzing and quantifying microscopy images using MATLAB’s low-code algorithms. Participants will learn how to preprocess images, segment regions 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...

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...

01/22/2025 - This three hour online training covers QIAGEN’s CLC Genomics Workbench enables researchers to analyze NGS data without the use of command line and is a powerful tool for determining differential expression. Read More...

09/19/2024 - This hour and-half online training discusses how MATLAB enhances data analysis and visualization for technical professionals who typically use Excel. It highlights MATLAB's advantages, such as access to pre-built mathematical and analysis functions, Read More...

The goal of quality control is to keep only high quality cells (i.e., remove low quality cells (dead or dying cells), cell-free RNA, or doublets). Low quality cells will impact downstream analyses. Take care 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...

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 NIH Library provides expert guidance on bioinformatics, biostatistics, data visualization, and data curation throughout the research process. Explore a variety of classes, on-demand trainings, resources, and services related to data science and bioinformatics available Read More...

05/28/2024 - Frederick Research Computing Environment (FRCE) and Computational Sciences Series In this session, we will explore how machine learning can be used to analyze whole slide pathological images (WSIs). We will showcase how to utilize Read More...

ANCOM (Analysis of Composition of Microbiomes) additive log ratio approach assumes that less than 25 % of features change between groups q2-composition plugin Need to filter rare taxa w-statistic - the number of null hypotheses rejected Read More...

We will import a small subset of fastq files to demonstrate initial sequence processing steps. The main questions we need to answer to import our raw data are: Is the data demultiplexed or multiplexed? Often Read More...

For the help sessions, we will work on processing sequences generated in Zhang Z, Feng Q, Li M, Li Z, Xu Q, Pan X, Chen W. Age-Related Cancer-Associated Microbiota Potentially Promotes Oral Squamous Cell Cancer 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...

Practice Lesson 2 For the help sessions, we will work on processing sequences generated in Zhang Z, Feng Q, Li M, Li Z, Xu Q, Pan X, Chen W. Age-Related Cancer-Associated Microbiota Potentially Promotes Oral Squamous Read More...

This course was designed to teach the basics of targeted amplicon data processing and analysis using the QIIME2 platform. Attendees will learn how to format data and metadata, import data, demultiplex sequences, trim sequences, denoise Read More...

Course Overview This course was designed to teach the basics of targeted amplicon data processing and analysis using the QIIME2 platform. Attendees will learn how to format data and metadata, import data, demultiplex sequences, trim Read More...

11/06/2023 - UK Biobank is a large-scale biomedical database and research resource, containing in-depth genetic and health information from half a million UK participants. The database is regularly augmented with additional data and is globally accessible Read More...

10/13/2023 - Zhiyong Lu, Ph.D. will present AI in Medicine: Improving Access to Literature Data for Knowledge Discovery at the monthly Data Sharing and Reuse Seminar.  The explosion of biomedical big data and Read More...

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...

We will use the R helper scripts that we used before. cat 22simple_counts.txt | Rscript deseq2.r 3x3 > 22results_deseq2.txt The file 22results_deseq2.txt contains the genes sorted by their adjusted Read More...

We will use the R helper scripts that we used before. cat 22simple_counts.txt | Rscript deseq2.r 3x3 > 22results_deseq2.txt The file 22results_deseq2.txt contains the genes sorted by their adjusted Read More...

We will use the R helper scripts that we used before. cat 22simple_counts.txt | Rscript deseq2.r 3x3 > 22results_deseq2.txt The file 22results_deseq2.txt contains the genes sorted by their adjusted Read More...

Interactive nodes are suitable for testing/debugging cpu-intensive code, pre/post-processing of data, graphical application, and to GUI interface to application. To start an interactive node, type "sinteractive" at the command line "$& Read More...

A scripting language that can be used for manipulating data and generating reports. Awk is a utility that enables a programmer to write tiny but effective programs in the form of statements that define text Read More...

Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took place from September 13th, 2022 to December 13th, 2022. Question 1 : Normalization - when to Read More...

BTEP Bioinformatics for Beginners (September 13th, 2022 - December 13th, 2022) Questions and Answers Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took Read More...

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...

This page contains content directly from the Biostar Handbook by Istvan Albert. Always remember to activate your bioinformatics environment. conda activate bioinfo What is a sequence pattern? A sequence pattern is a sequence of bases Read More...

BBDuk is another tool that can be used for adapter and quality trimming. In addition, BBDuk can be used to filter out contaminations, perform GC filtering, filter for length, etc. (see https://jgi.doe.gov/ Read More...

When analyzing high throughput sequencing data, we will need to trim away adapters. Adapters help anchor the unknown sequencing template to the Illumina flow cell and can interfere with alignment. We may also want to Read More...

Biological datasets can be massive. Often our local computers (laptops, desktops) do not have the storage space or computational power to analyze these datasets. Biowulf is the NIH high performance compute cluster. It has greater Read More...

Bash Most of bioinformatics can be done by understanding specific software applications and running those applications in a pipeline, usually using some form of bash scripting. Bash as a scripting language is fairly important for Read More...

Bash Most of bioinformatics can be done by understanding specific software applications and running those applications in a pipeline, usually using some form of bash scripting. Bash as a scripting language is fairly important for Read More...

:::: {.columns} ::: {.column width="50%"} R Programming Data Visualization (Base R and ggplot2) additional packages that enhance these, especially for -omics data More packages for data science / bioinformatics Bioconductor Report generation R Markdown Quarto more Read More...

06/29/2023 - Please join us for a special presentation about the Fred Hutchinson’s data journal to the cloud, including an innovative cloud platform (Cirro:  https://cirro.bio/ ) to streamline data collection, Read More...

06/13/2023 - Many cancer-related independent studies that employ bulk and single cell RNA-seq can be found in the Gene Expression Omnibus (GEO). While some studies provide aligned read files, these are processed non-uniformly. This shortcoming makes Read More...

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...

2024 Senatorov IS, Bowman J, Jansson KJ, Alilin AN, Capaldo BJ, Lake R, Riba M, Abbey YC, Mcknight C, Zhang X, Raj S, Beshiri ML, Shinn P, Ngyuyen H, Thomas CJ, Corey E, Kelly K. Castrate Read More...

2024 L. Balagopalan, T. Moreno, H. Qin, B. C. Angeles, T. Kondo, J. Yi, K. M. McIntire, N. Alvinez, S. Pallikkuth, M. E. Lee, H. Yamane, A. D. Tran, P. Youkharibache, R. E. Cachau, N. Taylor, Read More...

Image Analysis Signals Imaging Artist Next generation image analysis and management platform for high-content screening and cell imaging data. Quickly process, analyze, share, and store the vast volumes of data. Cell Profiler CellProfiler is free, 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...

Stephen Lockett, Ph.D. Director, OMAC locketts@nih.gov 301-846-5515 Valentin Magidson, Ph.D. Scientist magidsonv@mail.nih.gov 301-846-6092 Will Heinz, Ph.D. Scientist heinzwf@nih.gov 301-846-1239 OMAC Read More...

2024 Coutinho, L. L., Femino, E. L., Gonzalez, A. L., Moffat, R. L., Heinz, W. F., Cheng, R. Y. S., Lockett, S. J., Rangel, M. C., Ridnour, L. A. & Wink, D. A. NOS2 and 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...

Most BTEP courses include detailed course materials including lesson content, additional resources, and lesson associated data. These course materials are listed here so that learners can easily return to and review concepts taught in class 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...

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...

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 2: Getting Started with QIIME2 Lesson Objectives Obtain sequence data and sample metadata Import data and metadata Discuss other useful QIIME2 features including view QIIME2, provenance tracking, and the QIIME2 forum. DNAnexus DNAnexus provides a Read More...

Lesson 7: Course Wrap-Up Learning Objectives Introduce the QIIME2 microbiome workflow for Biowulf Review key concepts Showcase additional plugins QIIME 2 on Biowulf As mentioned previously, QIIME 2 is installed on Biowulf. To see available versions use module Read More...

Lesson 5: Microbial diversity, alpha rarefaction, alpha diversity Learning Objectives Understand the difference between alpha and beta diversity Introduce several alpha diversity metrics Understand what rarefaction is and why it is important Introduce the debate regarding Read More...

This page contains content taken directly from the Biostar Handbook by Istvan Albert. Always remember to start the bioinformatics environment. conda activate bioinfo We will be analyzing differential expression of genes on Chr22 from the Read More...

This page contains content taken directly from the Biostar Handbook by Istvan Albert. Always remember to start the bioinformatics environment. conda activate bioinfo We will be analyzing differential expression of genes on Chr22 from the 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...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learn: using trimmomatic to remove low-quality bases from a sequence Always remember to activate the bioinformatics environment. conda activate bioinfo We will be Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learn: using trimmomatic to remove low-quality bases from a sequence Always remember to activate the bioinformatics environment. conda activate bioinfo We will be Read More...

The bulk RNA-Seq test data we've been working with is in FASTQ format. We'd like to do a BLAST search on a couple of these sequences. Data must be in FASTA format to Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Always remember to activate the bioinfo environment when working on Biostar class materials. conda activate bioinfo The bulk RNA-Seq test data we've 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...

Lesson 7: Downloading the RNA-Seq Data and Dataset Overview Lesson Review pwd (print working directory) ls (list) touch (creates an empty file) nano (basic editor for creating small text files) using the rm command to remove 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...

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...

Lesson 16: RNA sequencing review and classification based analysis Before getting started, remember to be signed on to the DNAnexus GOLD environment. Review In the previous classes, we learned about the steps involved in RNA sequencing Read More...

Lesson 1: Introduction to Biowulf, Unix, and R Learning Objectives Learn about why you may want to use R on Biowulf. Refresh Unix and R skills. This lesson will not be hands on. Why use R 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 Understand the components of an HPC system. How does this compare to your local desktop? Learn about Biowulf, the NIH HPC cluster. Learn about the command line interface and resources for learning. What 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...