Search Results for: Illumina NextSeq 500

The Center for Inherited Disease Research (CIDR)'s  mission is to support the genetics community by providing high-quality, cutting-edge genomics services and technologies in order to expand our understanding of disease and catalyze discoveries that 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...

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...

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...

The Frederick Sequencing and Genomics Core (FSGC) was established through the integration and consolidation of the former Sequencing Facility (SF) and the Genomics Technology Laboratory (GTL). The new FSGC eliminates redundancy and provides cutting edge 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...

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...

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...

Back Services: Biophysics Facility offers ZetaView as an open-access instrument. First-time users must complete a short training session before using it for the first time. Training includes instrument calibration and size analysis of a standard Read More...

Back Services: Biophysics Facility offers Octet as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar.  Training includes a full analysis of a 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...

Illumina Sequencing Technology Video Introduction to Illumina Sequencing Summary of Illumina DNA-seq applications and library preparation methods Summary of Illumina RNA-seq applications and library preparation methods

09/22/2022 - The avalanche of easy-to-create genomics data has impacted almost all areas of medicine and science, from cancer patients and microbial diagnostics to molecular monitoring for astronauts in space. In this lecture, new discoveries from Read More...

By far the most popular platforms for RNASEQ experiments are the Illumina family of sequencers. All are Sequencing by Synthesis (SbS) and produce Short read lengths (50 to 300 bp). Consult with the Sequencing Core as to Read More...

06/29/2022 - The CCR Genomics, Sequencing and Single Cell Analysis Core Facilities are pleased to host a virtual technology seminar with Illumina. Presentation overview : For decades cancer methylation studies have provided insights into tumorigenic pathways and Read More...

09/22/2022 - The avalanche of easy-to-create genomics data has impacted almost all areas of medicine and science, from cancer patients and microbial diagnostics to molecular monitoring for astronauts in space. In this lecture, new discoveries from Read More...

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Biostar Class - Sequencing Instruments Below are a list of links and resources mentioned in the BIOSTAR Sequencing Instruments class given on 06/10/20 and 06/11/20 Sequencing Technologies - Company Web Sites Illumina PacBio Oxford Nanopore 10X Genomics Read More...

Illumina PacBio Oxford Nanopore 10X Genomics

There are a number of core facilities available to NCI researchers. See more information from the Office of Science and Technology Resources. We most commonly see data from the following cores: CCR Sequencing Facility (CCR-SF) Read More...

There are a number of ways to explore the PCA results. Two of the more useful visualizations include the DimHeatmap() and ElbowPlot() . DimHeatmap() allows us to visualize the top genes contributing to each PC. Both Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learn: FASTQC for assaying quality of sequence reads MultiQC for combining multiple FASTQC reports into one report Trimmomatic for removing sequence data based Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learn: FASTQC for assaying quality of sequence reads MultiQC for combining multiple FASTQC reports into one report Trimmomatic for removing sequence data based Read More...

Remember: Replicates, batch effects, consult BEFORE sequencing CCBR Best Practices for Experimental Design Sequence depth and machine requirements estimates can be obtained from the Illumina Sequencing Coverage Calculator Cost estimates can be previewed at the Read More...

Double-click IGV icon on desktop. Genomes -> Load Genome from Server (Human hg18) File -> Load from Server -> Available Datasets -> Body Map 2.0 (Illumina HiSeq) -> Merged 50 bp and 75 Read More...

Generating the Data General Rules for Sample Preparation Ignoring these simple guidelines will greatly increase the chances that your data will be unanalysable and/or your experiment unpublishable. Prepare all samples at the same time Read More...

How many categories or levels are there in sscaled$cell? a. 4 b. 2 c. 7 d. 1 {{Sdet}} Solution{{Esum}} A {{Edet}} What are the dimensions of scaled_counts[scaled_counts$counts_scaled

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...

Data Simulation We'll download a reference sequence from NCBI (AF086833, ebola genome), place it in a refs directory that we create, and create a "bam" index using "bwa". mkdir -p Read More...

05/20/2020 - Advances in technology have reduced the cost of single cell sequencing, opening the doors to many new areas of study including transcriptome, DNA genomics, epigenomics and microbial systems. This workshop, provided by experts from Read More...

12/02/2026 - 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...

10/14/2026 - 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...

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...

06/18/2026 - 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...

02/18/2026 - 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...

06/03/2025 - Class Description Introduction to RNA-Seq data analysis Step-by-step live demonstration of RNA-Seq analysis using the Galaxy platform   What You’ll Learn: How to independently carry out the basic gene expression 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...

07/09/2024 - Galaxy is a scientific workflow, data integration, data analysis, and publishing platform that makes computational biology accessible to research scientists that do not have computer programming experience. This workshop will cover exome sequencing data Read More...

05/07/2024 - Galaxy is a scientific workflow, data integration, data analysis, and publishing platform that makes computational biology accessible to research scientists that do not have computer programming experience. This workshop will introduce RNA-seq data analysis Read More...

Use pivot_longer to reshape countB. Your reshaped data should look the same as the data below. {{Sdet}} Solution } library ( tidyverse ) countB % rownames_to_column ( "Feature" ) countB_l ## 1 Tspan6 1 703 71 ## 2 Tspan6 2 567 970 ## 3 Tspan6 3 867 242 ## 4 TNMD 1 490 342 ## 5 TNMD 2 482 935 ## 6 Read More...

To import we will need to keep in mind that our samples are paired-end with quality information and that we are using a manifest format. Note: Phred 64 quality scores are associated with older data, so Read More...

10/24/2023 - In this session, we will provide an overview of the Next-Generation Sequencing (NGS) capabilities and applications. We will present the workflows and analyses for Illumina short-read, PacBio, and Oxford Nanopore long-read sequencing on Frederick Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learn * What are sequence adapters? * Do we need to trim them before alignment? * How can I trim with a new adapter sequence? Be Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learn * What are sequence adapters? * Do we need to trim them before alignment? * How can I trim with a new adapter sequence? Be Read More...

Everything in the SRA is also in the ENA (See PRJNA257197 on ENA ). Files in the ENA share the same naming convention as the SRA but are stored directly as gzipped fastq files and bam Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Start by activating the bioinfo environment. conda activate bioinfo Create a new directory for the multiqc data. mkdir multi cd multi Retrieve the Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Start by activating the bioinfo environment. conda activate bioinfo Create a new directory for the multiqc data. mkdir multi cd multi Retrieve the 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...

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...

07/14/2023 - Galaxy is a scientific workflow, data integration, data analysis, and publishing platform that makes computational biology accessible to research scientists that do not have computer programming experience. This workshop will cover exome sequencing data Read More...

05/12/2023 - Galaxy is a scientific workflow, data integration, data analysis, and publishing platform that makes computational biology accessible to research scientists that do not have computer programming experience. This workshop will introduce RNA-seq data analysis Read More...

07/13/2022 - This training will provide an introduction to exome sequencing data analysis followed by tutorials showing the use of exome analysis workflow and preparing participants to independently run basic exome analysis for variant detection using Read More...

05/25/2022 - This training will provide an introduction to RNA-seq data analysis followed by tutorials showing the use of popular RNA-seq analysis packages and preparing participants to independently run basic RNA-Seq analysis for expression profiling. The Read More...

10/28/2021 - The Cancer Genomics Cloud (CGC) (link is external) , powered by Seven Bridges, is an NCI-funded resource that provides a unified platform for cancer data analysis by co-localizing three components within the cloud: 1) large cancer Read More...

06/28/2021 - This training will provide an introduction to exome sequencing data analysis followed by tutorials showing the use of exome analysis workflow and preparing participants to independently run basic exome analysis for variant detection using Read More...

05/18/2021 - Register Session Description This training will provide an introduction to RNA-seq data analysis followed by tutorials showing the use of popular RNA-seq analysis packages and preparing participants to independently run basic RNA-Seq analysis for Read More...

04/21/2021 - Registration: https://cbiit.webex.com/cbiit/onstage/g.php?MTID=e51f19be5660107b4b92118dc48be1781 Presenter: Kevin Kendal PhD CEO of MacVector Description: This workshop will focus on the analysis of Next Read More...

04/21/2021 - Register Description: MacVector is a sequence analysis application for macOS computers that provides users with a variety of tools and functions to simplify the analysis, manipulation, assembly, and documentation of DNA and protein sequences. Read More...

03/22/2021 - Dear All, The Cores of Building 41 invite you to the second of three seminars for the 2021 Virtual Building 41 Core Open House Spring Lectures. Date: Monday, March 22, 2021 Schedule: 1:00 PM - 3:00 PM 1:00-1:10 Kathy McKinnon – Introduction Read More...

01/14/2021 - Registration: https://cbiit.webex.com/cbiit/onstage/g.php?MTID=e968a58127acdb59b961e2ef13865c7ad Description: This workshop will focus on the analysis of Next Generation Sequencing (NGS) data using the Read More...

Generating VCF Files (Simulated data) VCF files are produced by running a variant caller on one or more BAM alignment files. We will download the ebola genome (AF086833) into a "refs" directory, create 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...

09/13/2024 - Reverse-phase protein arrays (RPPAs) represent a powerful functional proteomic approach to elucidate cancer-related molecular mechanisms and develop novel cancer therapies.   To facilitate community-based investigation of the large-scale protein expression data generated by Read More...

There are several metrics that can be used to assess overall quality. The base workflow from Seurat suggests the following: nCount_RNA - the absolute number of RNA molecules (UMIs) per cell (i.e., count Read More...

05/16/2024 - Qiagen CLC Genomics Workbench is a point-and-click bioinformatics software that runs on a personal computer and enables bulk RNA sequencing, ChIP sequencing, long reads, and variant analysis. NCI scientists can use CLC Genomics Workbench Read More...

05/06/2024 - Have you been looking for ways to use artificial intelligence (AI) in clinical practice but not sure where to start? Attend this webinar for tips from Dr. Anant Madabhushi on applying AI in precision Read More...

How many rows per sample are in the scaled_counts data frame? scaled_counts |> group_by(dex, sample) |> summarize(n=n()) #there are multiple functions that can be used here `summarise()` has grouped Read More...

How many rows per sample are in the scaled_counts data frame? ::: {.cell} scaled_counts |> group_by ( dex , sample ) |> summarize ( n = n ()) #there are multiple functions that can be used here ::: {.cell-output .cell-output-stderr} ` Read More...

Load in the comma separated file "./data/countB.csv" and save to an object named gcounts . {{Sdet}} Solution } gcounts `...1` colnames ( gcounts )[ 1 ] ## 1 Tspan6 703 567 867 71 970 242 ## 2 TNMD 490 482 18 342 935 469 ## 3 DPM1 921 797 622 661 8 500 ## 4 SCYL3 335 216 222 774 979 793 ## 5 FGR 574 574 515 584 941 344 ## 6 CFH 577 792 672 104 192 936 ## 7 FUCA2 798 766 995 27 756 546 ## 8 GCLC 822 874 923 705 667 522 ## 9 NFYA 622 793 918 868 334 64 {{Edet}} Plot the Read More...

Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and do not contain spaces. Save Read More...

Help Session Lesson 3 Loading data Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and 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...

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...

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...

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...

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...

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...

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...

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...

Step 1 for generating bigWig files is to convert the BAM alignment results to a bedGraph file that contains coverage along genomic regions. Enchancing your vocabulary: BED file - this is also known as Browser Extensible Read More...

The SRA (Sequence Read Archive) at NCBI is a large, public database of DNA sequencing data. The repository holds "short reads" generated by high-throughput next-generation sequencing, usually less than 1,000 bp. We will download Read More...

fastq-dump and fasterq-dump can be used to download FASTQ-formatted data. Both download the data in SRA format and convert it to FASTQ format. fastq-dump SRR1553607 creates the file: SRR1553607.fastq Check the file to make Read More...

fastq-dump and fasterq-dump can be used to download FASTQ-formatted data. Both download the data in SRA format and convert it to FASTQ format. fastq-dump SRR1553607 creates the file: SRR1553607.fastq Check the file to make 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...

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...

05/14/2021 - Presenter: Sai Lakshmi Subramanian Program Manager, Cancer Genomics Cloud Seven Bridges   Abstract The Cancer Genomics Cloud powered by Seven Bridges (CGC) is a NCI-funded cloud resource that provides a unified platform for Read More...

Lesson 6: Downloading data from the SRA For this lesson, you will need to login to the GOLD environment on DNAnexus. Lesson 5 Review: The majority of computational tasks on Biowulf should be submitted as jobs: sbatch 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...

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...

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...

Help Session Lesson 4 Plotting with ggplot2 For the following plots, let's use the diamonds data ( ?diamonds ). The diamonds dataset comes in ggplot2 and contains information about ~54,000 diamonds, including the price, carat, color, clarity, and Read More...

dplyr : joining, tranforming, and summarizing data frames Objectives Today we will continue to wrangle data using the tidyverse package, dplyr . We will learn: how to join data frames using dplyr how to transform and create Read More...

Step 1 for generating bigWig files is to convert the BAM alignment results to a bedGraph (with extension bg) file that contains coverage along genomic regions. Enhancing your vocabulary: BED file - this is also known 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...

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...

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...

Now that we have downloaded the HBR and UHR dataset and know where analysis tools are, let's start learning about RNA sequencing, by first learning about our reference genome and annotation files. Let's Read More...

Now that we have downloaded the HBR and UHR dataset and know where analysis tools are, let's start learning about RNA sequencing, by first learning about our reference genome and annotation files. Let's Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Review: * downloading data from SRA * decompressing tar files * e-utilities * fastq-dump Learn: * sra-stat * XML format * automating SRA downloads * working with comma-separated values (csv) format * Read More...

Lesson 14: Visualizing alignment results Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 13 Review Previously, we used the application HISAT2 to align the raw sequencing data from the Human Brain Read More...

“Gene set enrichment analysis” refers to the process of discovering the common characteristics potentially present in a list of genes. When these characteristics are GO terms, the process is called “functional enrichment.” Warning Overall GO Read More...

Lesson 14: Visualizing alignment results Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 13 Review Previously, we used the application HISAT2 to align the raw sequencing data from the Human Brain Read More...

Lesson 6: sra-tools, e-utilities, and parallel This page uses some content directly from the Biostar Handbook by Istvan Albert. Lesson 5 Review: The majority of computational tasks on Biowulf should be submitted as jobs: sbatch or swarm 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...

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 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, Read More...

Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, 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...

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

Introduction to Data Wrangling with the Tidyverse Objectives Wrangle data using tidyverse functionality (i.e., dplyr ). To this end, you should understand: 1. how to use common dplyr functions (e.g., select() , group_by() , arrange() , mutate() , Read More...