Search Results for: mRNA Arrays

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...

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.

10/16/2012 - Fundamentals of DNA copy number analysis using Nexus Learn the basics of copy number analysis and its application to genomic research. Fundamental concepts such as copy number measurement methods, quality assessment, and different approaches/ Read More...

06/13/2024 - The schedule for this week consists of one presentation: Lorenz Adlung, UMC Hamburg-Eppendorf, will discuss: scMod: Marrying machine learning and deterministic modelling of longitudinal single-cell data Single-cell-based methods such as flow cytometry or single-cell Read More...

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

Now that we have an R script, let's begin to work with R objects. Everything assigned a value in R is technically an object. Mostly we think of R objects as something in which Read More...

To add to the mRNA mapping problem is the existance of alternate splicing events. Attempting to identify alternate splicing in RNASEQ data is not something for the novice to attempt! .... get professional help

Remember ~90% of RNA is ribosomal RNA. Therefore enrich your total RNA sample by: polyA selection (oligodT affinity) of mRNA (eukaryote), or rRNA depletion - RiboZero is typically used (costs extra)

Everything assigned a value in R is technically an object in which a method (or function) can act on. Therefore, objects are data structures with specific attributes and methods that can be applied to them. Read More...

05/04/2022 - Presenter: Thomas Gonatopoulos-Pournatzis, Ph.D. Stadtman Investigator NIH Distinguished Scholar Head Functional Transcriptomics Section RNA Biology Laboratory NCI-Frederick Dr. Gonatopoulos-Pournatzis studies the regulatory pathways and functional roles of alternative splicing and other pre-mRNA processing Read More...

06/24/2020 - Join us for a webinar:  How to Analyze Single Cell RNA-Seq Data: Point, Click, Done Register:  https://www.partek.com/webinar/how-to-analyze-single-cell-rna-seq-data-point-click-done/ Single cell mRNA sequencing allows for the identification of different cell subtypes Read More...

06/01/2020 - After nearly two decades of improvements, the current human reference genome is the most accurate and complete vertebrate genome ever produced. However, no one chromosome has been finished end to end, and hundreds of Read More...

06/02/2015 - This workshop will cover some basic concepts involved in the integration of different types of NGS data in order to obtain a better overall picture of the underlying biology. Specifically, the course will examine Read More...

Partek Genomics Suite (Partek) is a graphical user interface (GUI) based bioinformatics package. It hosts a range of work flows that allow for gene expression, epigenetic, and association analysis. {{Sdet}}{{Ssum}}Listing of Analysis Functions{{ Read More...

The example below will use Python code to demonstrate the utility of Jupyter Notebook for keeping code, output, and analysis steps all in one place. First, the import command of Python will be used to Read More...

The example below will use Python code to demonstrate the utility of Jupyter Notebook for keeping code, output, and analysis steps all in one place. First, the import command of Python will be used to Read More...

Objects (and functions) are key to understanding and using R programming. Everything assigned a value in R is technically an object. Mostly we think of R objects as something in which a method (or function) Read More...

Nexus Copy Number can take data from various arrays as input including Affymetrix CEl. To see the full list, click on "Load" -> "Load Data" -> " Read More...

The Genomics Technology Laboratory is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, data analysis, and information management tools, in support of CCR Investigators. The laboratory develops integrated Read More...

The Genomics Laboratory (formerly Laboratory of Molecular Technology) is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, together with associated laboratory automation systems, data analysis, and information management Read More...

Thousands of molecular targets have been measured in the NCI panel of 60 human tumor cell lines. Measurements include protein levels, RNA measurements, mutation status, and enzyme activity levels. You can choose to search for a 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...

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...

The QIIME2 platform can be used for different types of -omics data. For this course, we will be focusing on targeted amplicon sequencing of the 16S rRNA gene. The 16S rRNA gene (~1500 bp) codes for 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...

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...

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...

R: Data types: integer, numeric, character, and logical Data structures: vectors, lists, data frames, matrices. x

R: Data types: integer, numeric, character, and logical Data structures: vectors, lists, data frames, matrices. ::: {.cell} x ::: :::

06/16/2022 - For the Advanced Training, topics covered depend upon survey results: find key hubs using over-connectivity analysis; using Microarray repository for gene comparisons against public data; building networks with MetaCore; constructing your own pathway maps; Read More...

05/11/2022 - Many new studies include RNA sequencing data. In this webinar we will go through the process of downloading and importing SRA data using the SRA toolkit, how to use an aligner to convert fastq Read More...

01/19/2022 - For our next CDSL Webinar we will have a guest lecture by  Dr. Russell Rockne from Beckman Research Institute, City of Hope National Medical Center. Abstract: Temporal dynamics of gene expression inform cellular and Read More...

11/04/2021 - Abstract:  Existing human genome assemblies have almost entirely excluded highly repetitive sequences within and near centromeres, limiting our understanding of their organization, evolution, and essential role in chromosome segregation. Now, the first complete, telomere-to-telomere Read More...

11/04/2021 - Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=mf0f44a00dfd24b954e3b3574894b21c4 Abstract:  Existing human genome assemblies have almost entirely excluded highly repetitive sequences within and near Read More...

10/19/2021 - For the Advanced Training, topics covered depend upon survey results: find key hubs using over-connectivity analysis; using Microarray repository for gene comparisons against public data; building networks with MetaCore; constructing your own pathway maps; Read More...

10/12/2021 - Speaker :  Tali Mazor, Ph.D., Scientist, Knowledge Systems Group, Dana-Farber Cancer Institute Tali Mazor, Ph.D., of the Dana-Farber Cancer Institute will discuss the functions and features of the cBioPortal for Cancer Genomics. This Read More...

04/28/2021 - Register/Join This month’s Cancer Genomics Cloud (CGC) webinar welcomes two bioinformaticians, Dr. Vesna Pajic and Nevena Vukojicic, to show attendees how CGC features can be used to perform multi-omics analysis. Dr. Pajic Read More...

09/24/2020 - For the Advanced Training, topics covered depend upon survey results: find key hubs using over-connectivity analysis; using Microarray repository for gene comparisons against public data; building networks with MetaCore; constructing your own pathway maps; Read More...

02/20/2013 - Ingenuity Pathways Analysis (IPA)  is software that helps researchers model, analyze, and understand the complex biological and chemical systems at the core of life science research. This training session will cover Advanced uses of Read More...

10/30/2012 - Due to the weather related shutdown of the FEDERAL GOVERNMENT (NIH) this seminar has been POSTPONED ... we will attempt to reschedule at a later date. (10-30-2012)   Topics to be covered   I. Genomic and Read More...

10/23/2012 - Learn the fundamentals in genomic data analysis of CGH and SNP arrays using BioDiscovery Nexus Copy Number software.  In this hands-on training session, you will learn how to load, process, visualize, and analyze array Read More...

An important step to learning any new programming language and data analysis is to understand its data types and structures. Common data types and structures that will be encountered include the following. Text (str) Numeric Read More...

An important step to learning any new programming language and data analysis is to understand its data types and data structures. Common data types and structures that will be encountered include the following. Text (str) Read More...

The first example will use Python code to demonstrate the utility of Jupyter Notebook for keeping code, output, and analysis steps all in one place. First, the import command of Python will be used to Read More...

The first example will use Python code to demonstrate the utility of Jupyter Notebook for keeping code, output, and analysis steps all in one place. First, the import command of Python will be used to Read More...

To plot using Seaborn, start the command with seaborn followed by the plot type, separated by a period. seaborn.plot_type This section will use Seaborn's scatterplot to explore how to work with and 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...

The National Clinical Trials Network Biospecimen Banks (NCTN) receive, store, and distribute human cancer biospecimens collected on NCTN clinical trials. NCTN Biobanks provide cancer researchers with quality, well-annotated biospecimens and associated clinical information. The NCTN Read More...

The Specimen Resource Locator (SRL) is a biospecimen resource database designed to help researchers locate resources that may have the samples needed for their investigational use. This publicly searchable database includes information about biospecimen banks 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...

The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has Read More...

The 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...

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...

10/24/2024 - Recent advances in artificial intelligence (AI) have revolutionized the use of hematoxylin and eosin (H&E)-stained tumor slides for precision oncology, enabling data-driven approaches to predict molecular characteristics and therapeutic outcomes. In 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...

Now that we have loaded the package, we can import our data. Generally, in R programming, functions that involve data import begin with "read / Read". Seurat includes a number of read functions for 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...

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...

05/09/2023 - T he  C ancer  P roteome  A tlas (TCPA) : a major bioinformatics resource for cancer proteomics data using  reverse-phase protein arrays (RPPAs)   In contrast to the recent exploration of next-generation sequencing at both DNA Read More...

05/02/2023 - T he  C ancer  P roteome  A tlas (TCPA) : a major bioinformatics resource for cancer proteomics data using  reverse-phase protein arrays (RPPAs) In contrast to the recent exploration of next-generation sequencing at both DNA 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...

05/24/2021 - Dr. Adam Phillippy, a Senior Investigator at NHGRI will give an extremely interesting talk on Monday, 5/24 at 11 am via WebEx at https://nih.webex.com/nih/j.php?MTID=m237a8e77868c23cc4 Read More...

11/05/2020 - Register Presenter: Dr. Han Liang Reverse-phase protein arrays (RPPAs) offer a powerful functional proteomic approach to evaluate biomarkers and mechanisms underlying sensitivity and resistance to cancer therapy. The MD Anderson Cancer Center platform currently Read More...

02/20/2020 - Learn how to easily analyze your gene expression data yourself - using Qlucore Omics Explorer NCI/CCR:To get access to Qlucore, put a request into NCI at Your Service under Get Help https:// Read More...

09/26/2019 - Qlucore Omics Explorer is an interactive analysis and visualization tool that helps the user to find groups, structures, variable networks and discriminating variables. You can use your own data and analyze public data. Omics Read More...

11/13/2017 - MetaCore™ is an integrated curated knowledge database and software suite for pathway analysis of experimental data and gene lists. The scope of data types includes microarray and sequence-based gene expression, SNPs and CGH arrays, Read More...

02/09/2016 - BTEP Workshop on Pathway Analysis with MetaCore NOTE: This is a Bring Your Own Computer (BYOC) class, and will be simultaneously shared via GoToMeeting with attendees at the Advanced Technology Research Facility (ATRF) in 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...

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...

12/17/2014 - Day 1 - AM (9:30 AM – 12:30 PM)  Ingenuity IPA -   Basic Training  ( Kate Wendelsdorf, Ph.D. -  Ingenuity Pathway Analysis)   Ingenuity IPA® is the industry leading software solution to model, analyze, and understand complex biological and Read More...

09/17/2013 - Ingenuity Pathways Analysis (IPA)  is software that helps researchers model, analyze, and understand the complex biological and chemical systems at the core of life science research.   Agenda for Day 1 (Tuesday September 17th) Large Scale ( Read More...

To plot using Seaborn, start the command with seaborn followed by the plot type (where plot type can be any plot, for instance if the user wants a scatter plot then the command would be Read More...

Arguments and options for Python commands are enclosed in parentheses. In general, the anatomy is command(argument, option). For example, the command below is print and it will display the argument, "Hello BTEP" Read More...

CREx News & Updates July 2021   Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGHLIGHTS Learn more about services from the NHLBI 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...

CREx News & Updates July 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 Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase 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...

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...

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...

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...

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...

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...

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. 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...

We will build a database out of all features of the 2014 Ebola genome under accession number KM233118. This data will go into a new directory named "db_2014". mkdir -p db_2014 # Get the 2014 Ebola 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...

This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinformatics environment and create a directory for today's work. conda activate bioinfo mkdir blast cd blast What is 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 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...

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 you Read More...

R basics 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 Read More...

06/19/2017 - Harvesting the Wealth of TCGA Data The Cancer Genome Atlas (TCGA) is a large-scale study that has catalogued genomic data accumulated from more than 20 different types of cancer including mutations, copy number variation, mRNA Read More...

05/22/2017 - Driven by the decreasing costs and increasing performance of next-generation sequencing (NGS) technologies, the amount of available genomic data has grown exponentially in recent years.  While most of the analyses of these data is 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...

09/01/2016 - This 2-day workshop, including a BYOD (Bring Your Own Data) exercise, will provide an introduction and hands-on training for Cytoscape, which is an open source software platform for visualizing  networks and integrating these networks Read More...

01/07/2016 - REGISTRATION IS FULL FOR THIS WORKSHOP (25 ATTENDEES; 6 WAITLIST) The Cancer Genome Atlas (TCGA) is a large-scale study that has cataloged genomic data accumulated for many different types of cancers, and includes mutations, copy number Read More...

03/18/2014 - The Cancer Genome Atlas (TCGA) is a large-scale study that has catalogued genomic data accumulated from more than 20 different types of cancer including mutations, copy number variation, mRNA and miRNA gene expression, and DNA Read More...