Search Results for: expressed sequence tags

04/02/2013 -   Geneious is an integrated and extensible software platform for the organization, visualization and analysis of DNA and protein sequence information. Researchers can analyze any NGS data alongside traditional Sanger data and combine technologies in Read More...

03/06/2013 -   Geneious is an integrated and extensible software platform for the organization, visualization and analysis of DNA and protein sequence information. Researchers can analyze any NGS data alongside traditional Sanger data and combine technologies in Read More...

Geneious Prime is a graphical user interface (GUI) based bioinformatics package that contains a suite of tools for molecular biology and Next Generation Sequencing analysis. {{Sdet}}{{Ssum}}Listing of Analysis Functions{{Esum}} Classic Computational Molecular Read More...

Mass Spectrometry Section of the Collaborative Protein Technology Resource (Bldg. 37) Core Capabilities: Identification of proteins in complexes, organelles, subcellular fractions, or fluids. Global relative protein quantitation. Quantitation by isotopic labeling of cells in culture (SILAC) Read More...

The Bloomington Drosophila Stock Center (BDSC) collects, maintains, and distributes genetically defined strains of Drosophila melanogaster for research and education. The BDSC supports a large, worldwide community of scientists using Drosophila as a model organism Read More...

Total end-to-end system for single-cell research [embed]https://youtu.be/vMzhSzg1rUw[/embed] The BD Rhapsody Single-Cell Analysis system empowers and streamlines your research with a complete system of tools, including reagents and analysis software, 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...

Now that we have downloaded the Golden Snidget reference files let's take a moment to get to know the references. First, change into the refs folder. How do we do this from the ~/biostar_ Read More...

05/16/2016 - This 2-day course, which includes both lecture and hands-on components, will teach the basic concepts and practical aspects of ChIP-Seq Data Analysis. There will also be a talk on ENCODE and a comprehensive discussion Read More...

For this exercise, click on the chromosome selection drop down and choose "All". Then load normal_rep1.bam and tumor_rep1.bam to the tracks. Unlike the bigWig files, which shows pre-calculated coverage Read More...

BAM Slicing Download Slice individual BAM files based on the variant, gene, position, or SNPs for individual cases/entities Download unmapped reads from a BAM file Clinical Data Analysis Visualize clinical data with histograms, survival Read More...

05/22/2025 - It took over $3 billion and 13 years to sequence the first human genome. Today, we can sequence a genome in a single day for less than $1,000.  That incredible technological advancement has led to the generation Read More...

04/01/2025 - Whether you are measuring mRNA expression, protein expression, DNA methylation, expressed miRNAs, protein binding to DNA or RNA, etc., you will likely end up with a list of genes or gene products from which 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...

The total number of detected transcripts expressed in a cell is dependent on the amount of mRNA in a cell. Cells naturally vary in the total amount of mRNA expressed. However, the chemistry of the Read More...

Differential expression analysis is the process of identifying genes that have a significant difference in expression between two or more groups. For many sequencing experiments, regardless of methodology, differential analysis lays the foundation of the Read More...

It is next standard to scale and center the features in the data set prior to dimension reduction or visualization via heatmap. Scaling the data will keep highly expressed genes from dominating our analysis. This 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...

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...

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...

Closed reference OTU picking uses a reference database to cluster OTUs against reads that fail to cluster with a reference sequence due to real variation or sequence error variation are dropped subject to biases or 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...

The field has moved to denoising sequences rather than OTU clustering. In a denoising approach, the exact biological sequence is inferred and noise is removed from the dataset via error correction. This is generally done Read More...

BLAST+ - local sequence alignment followed by consensus taxonomy classification VSEARCH - global sequence alignment followed by consensus taxonomy classification These essentially align sequences to references and take the top matches (maxaccepts) above some threshold Read More...

The data used in this course are freely available from the Sequence Read Archive (SRA-NCBI) and qiime2.org . For your convenience, we are also including a compressed archive containing the data here .

Getting the Data The data used in this course are freely available from the Sequence Read Archive (SRA-NCBI) and qiime2.org . For your convenience, we are also including a compressed archive containing the data here .

Obtain sequence data and sample metadata Import data and metadata Discuss other useful QIIME2 features including view QIIME2, provenance tracking, and the QIIME2 forum.

12/06/2023 - This presentation will provide a one-hour overview demonstration on Geneious Prime, a software platform for molecular biology and sequence analysis. It is built to be highly visual, easy to use, and collaborative. & 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...

Clinical Support Laboratory – Flow Cytometry Section is a laboratory specializing in providing immunophenotyping support of NCI intramural clinical trials, though assessments may also be performed using cells from Non-human primates and other species. The CSL Read More...

The NIH Biowulf Cluster provides researchers with a world-class system to assist in solving complex biomedical problems as diverse as gene variation in worldwide human populations, deep learning to model protein structures, and PET brain 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...

The introduction of DNA sequencing instruments capable of producing millions of DNA sequence reads in a single run has profoundly altered the landscape of genetics and cancer biology. Complex questions can now be answered at 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...

Lesson 9 Practice Objectives In this practice session, we will apply our knowledge to learn about the reference genome and annotation file for the Golden Snidget dataset visualize the Golden Snidget genome using the Integrative Genome Read More...

06/28/2020 - The overarching goal of our work is to implement data analysis and informatics tools for integration of biological mass spectrometry data (proteomics and metabolomics) with genomic / transcriptomic information to advance cancer research. We are Read More...

03/20/2017 - BTEP Workshop on RNA-Seq Data Analysis (2-day) This 2-day workshop, which includes both lecture and hands-on components, will cover the fundamentals of and best practices for RNA-Seq Data Analysis. Learn everything from experimental design Read More...

11/09/2015 - A Short Course in R for Biologists "A Short Course in R for Biologists" is a two-day course given in four three-hour sessions entitled: Introduction to R, Introduction to Bioconductor, Introduction to Read More...

02/19/2015 - This 2-day course, which includes both lecture and hands-on components, will teach the basic concepts and practical aspects of RNA-Seq Data Analysis. Learn everything from experimental design to statistical analysis. This workshop will include Read More...

05/19/2025 - Immunotherapy has the potential to revolutionize the way we treat cancer, but a key challenge has been finding ways to tailor that therapy to the right patient at the right time. Attend this webinar, Read More...

Long read sequencing was recently named 2022’s method of the year by Nature Methods . Long read sequencing technologies, those that generate sequence reads with lengths of 10s of kilobases or longer have several advantages over Read More...

03/04/2025 - Alignment of RNA sequencing data enables researchers to identify where in the genome each sequence came from. However, it does not inform of how many sequences aligned to each genomic feature such as a Read More...

02/27/2025 - NGS produces millions of sequences per sample and the challenge is to identify where in the genome each sequence came from. Fortunately, there are aligners that help scientists with this task. After this class, Read More...

02/11/2025 - This lesson is part of a course, B4B: Unix and Biowulf.    This course will focus on developing command line skills, getting started and working on Biowulf (the NIH HPC cluster), and downloading and 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...

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...

06/06/2024 - The Brooks Lab developed a computational tool called FLAIR (Full-Length Alternative Isoform Analysis of RNA) to produce confident transcript isoforms from long-read RNA-seq data with the aim of alternative isoform detection and quantification. With 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...

The FindAllMarkers function is particularly useful in identifying the differentially expressed genes that distinguish several groups, such as seen here in the clusters. What makes this unique is that none of the identities are initially 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...

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...

02/29/2024 - Artificial Intelligence (AI) is becoming increasingly ubiquitous in biomedical research, enabled by large datasets, new algorithms, and hardware improvements. In this session, Dr. Brian Ondov will introduce the basic principles of AI and describe Read More...

02/28/2024 - In this seminar, you'll learn about the somatic variant caller named Lancet. This accurate, open-source tool leverages local assembly and joint analysis of tumor-normal, paired, high-throughput sequence data. New York Genome Center& Read More...

Lesson 2 Exercise Questions: Part 2 (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 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 4 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...

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 4 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...

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...

An OTU is an operational taxonomic unit. This is derived by binning sequences at a certain threshold of similarity. This threshold is generally set at 97%, which is associated with a species level assignment. Clustering can Read More...

Finally, we want to obtain summary information from our feature table and feature data (representative sequences). Our feature table includes count data of our ASVs in each sample, while the feature data provides the sequence Read More...

In addition to clasifying our organisms, we also want to reconstruct their phylogenetic relationships by generating a phylogenetic tree. We often assume that phylogenetic closeness can elucidate commonalities in phenotypic properties / functions, so it is Read More...

Following import, we want to check our sequence quality and the number of sequences per sample (read depth). This can be done using qiime demux summarize . qiime demux summarize \ --i-data demuxsequences.qza \ --o-visualization demuxsequences-summary.qzv Read More...

A powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical 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...

learn how to apply different types of filtering to your ASV table and representative sequence data. classify your ASVs. Generate a phylogenetic tree. Now that we have imported and denoised, let's move on to Read More...

The two methods used for denoising on QIIME 2 include: DADA2 - Uses a run specific error profile - Unclear how an incomplete run profile would impact results - There is a method available for Pacbio 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...

Check for primers Generate an ASV count table and representative sequence file Understand the difference between OTU picking and denoising The two primary files that will be used throughout any microbiome analysis are the feature Read More...

All solutions should use the pipe. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc . Create a subset data frame from sc that only includes the columns Read More...

Help Session Lesson 5 All solutions should use the pipe. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc . Create a subset data frame from sc that only Read More...

Lesson 3: Creating a feature table Lesson Objectives Check for primers Generate an ASV count table and representative sequence file Understand the difference between OTU picking and denoising The two primary files that will be used Read More...

11/29/2023 - In this seminar, you'll learn about the somatic variant caller named Lancet. This accurate, open-source tool leverages local assembly and joint analysis of tumor-normal, paired, high-throughput sequence data. New York Genome Center& Read More...

10/25/2023 - Every week, thousands of biomedical research papers are published with a portion of them containing supporting tables with data about genes, transcripts, variants, and proteins. For example, supporting tables may contain differentially expressed genes Read More...

The Antibody Engineering Program (AEP) is located at the Laboratory of Molecular Biology, which is part of the Center for Cancer Research (CCR), an intramural program at the National Cancer Institute (NCI). AEP focuses on Read More...

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...

CREx News & Updates October 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGLIGHTS Learn more about services from the CPTR Read More...

The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...

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...

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...

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...

10/22/2015 - /* element spacing */ p, pre { margin: 0em 0em 1em; } /* center images and tables */ img, table { margin: 0em auto 1em; } p { text-align: justify; } tt, code, pre { font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Read More...

01/29/2015 - /* element spacing */ p, pre { margin: 0em 0em 1em; } /* center images and tables */ img, table { margin: 0em auto 1em; } p { text-align: justify; } tt, code, pre { font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Read More...

Anaconda ( https://www.anaconda.com/ ) is a package manager and distributor for a wide array of data science software. Package managers are ideal for scientists who conduct analysis on a personal computer as they eliminate 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...

General questions or comments about the BTEP program or classes should be addressed to: NCIBTEP@nih.gov Desiree Tillo, Ph.D . Staff Scientist desiree.tillo@nih.gov I have a broad research background in bioinformatics Read More...

What is bioinformatics? Bioinformatics integrates biology, statistics, and computer science to develop and apply theory, methods, and tools for the collection, storage, and analysis of biological and related data. Bioinformatics plays a critical role in 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...

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...

One particular critique of differential expression in single cell RNASeq analysis is p-value "inflation," where the p-values get so small that there are far too many genes exist with p-values below 0.05, even after Read More...

Now, that we have clusters, we can use differential expression analysis to uncover markers that define our clusters. These markers can be used to assign cell types to our clusters. First, because we are working 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 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...

Lesson 4: Feature table filtering, taxonomic classification, and phylogeny Learning objectives learn how to apply different types of filtering to your ASV table and representative sequence data. classify your ASVs. Generate a phylogenetic tree. Now that Read More...

There are several functions that you will see repeatedly as you use R more and more. One of those is c() , which is used to combine its arguments to form a vector. Vectors are probably Read More...

The recommended method involves applying a scikit-learn multinomial naive Bayes classifier. This uses machine learning to train a classifier on a referene database and then use the trained classifier to classify your ASVs. These classifiers 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...

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...

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...

NCI scientists have many choices available to them for bioinformatic analyses of Next Generation Sequencing (NGS) data. While some require expertise in programming, others provide a more user-friendly, point-and-click interface. These options include programs for Read More...