Search Results for: Proteomic Arrays

OSTR provides CCR investigators with access to a variety of software licenses for genomic, proteomic, pathway analysis and data visualization tools. These software are funded by OSTR and made available at no cost to CCR Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Derive Greater Insights and Accelerate your Research Using Bioinformatic Tools! CREx is an NIH Read More...

The Molecular Pathology Unit is intended to spearhead opportunities for bridging basic and clinical research efforts by more precisely optimizing the development, characterization, and utilization of models of human disease. The initiative approach includes both Read More...

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

The Spatial Imaging Technology Resource (formerly the Nanoscale Protein Analysis Section of the Collaborative Protein Technology Resource or CPTR) provides expertise and service in state-of-the-art protein analysis technologies to advance CCR research in basic discovery 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...

The NCI Cloud Resources are components of the NCI Cancer Research Data Commons (CRDC) that bring data and computational power together to enable cancer research and discovery. These cloud-based platforms eliminate the need for researchers Read More...

The NCI Genomic Data Commons (GDC) was established by the NCI Center for Cancer Genomics (CCG) to support the receipt, harmonization, distribution, and analysis of genomic and clinical data from cancer research programs. The GDC Read More...

The 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...

Protein and Metabolite Characterization Core (PMCC), formerly known as the Protein Characterization Lab (PCL),  offers various technologies to CCR investigators to characterize proteins and metabolites. The core develops and applies state-of-the-art analytical technologies, primarily mass 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...

11/16/2020 - Register Cancer heterogeneity is one of the major challenges that hampers the ability to cure the disease. Tumors differ in their genetic profiles and the cellular interactions in the microenvironment, and each tumor may Read More...

Given a list of numbers, it is difficult to perform mathematical operations. For instance list_of_numbers=[1,2,3,4,5] Multiplying list_of_numbers by 2 will duplicate this list. However, multiplying a list of numbers by two should Read More...

Given a list of numbers, it is difficult to perform mathematical operations. For instance list_of_numbers=[1,2,3,4,5] Multiplying list_of_numbers by 2 will duplicate this list. However, multiplying a list of numbers by two should Read More...

10/09/2024 - This session will give an overview of the NCI Cancer Research Data Commons and the variety of available cancer data such as RNA expression and protein abundance. These data are hosted in openly accessible Read More...

import numpy import matplotlib.pyplot as plt x=numpy.array([0,1,2,3,4]) y=numpy.array([0,2,4,6,8]) plt.scatter(x,y) plt.xlabel("x", size=15) plt.ylabel("y", size=15) plt.tick_params(labelsize=12) plt.title(& Read More...

import numpy import matplotlib.pyplot as plt x=numpy.array([0,1,2,3,4]) y=numpy.array([0,2,4,6,8]) plt.scatter(x,y) plt.xlabel("x", size=15) plt.ylabel("y", size=15) plt.tick_params(labelsize=12) plt.title(& 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...

10/28/2020 - Register The NCI’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) is a national effort to accelerate the understanding of the molecular basis of cancer through the application of large-scale proteogenomics. The next TEAG forum 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...

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...

Software that offers simple yet powerful tools for copy number (CNV) and sequence variation analysis and visualization from aCGH, SNP arrays as well as NGS WES/WGS and expression data. Nexus Copy Number – Accelerating Copy 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...

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...

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...

05/04/2023 - The National Cancer Insitute (NCI) Cancer Research Data Commons (CRDC) includes petabytes of genomic, proteomic, imaging and other data that can be immediately accessed and analyzed by approved users in a secure cloud environment. Read More...

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...

01/19/2021 - Please register here to attend. Webinar Presenter: Dr Tao Liu, Pacific Northwest National Laboratory Join the Office of Cancer Clinical Proteomics Research (OCCPR) for our 2021 OCCPR webinar series! Hear from our Clinical Proteomic Tumor 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...

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...

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...

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 Cancer Genome Atlas (TCGA) was a large scale and collaborative effort, organized by the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI) in 2006, to improve our understanding of cancer at 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...

10/30/2025 - Qiagen Ingenuity Pathway Analysis (IPA) is a point-and-click software that enables scientists to discern how genomic, transcriptomic, proteomic, and metabolomic changes influence molecular biology pathways and networks. This software is available to NCI investigators. Read More...

06/17/2025 - Due to the growing popularity of high-plex patial proteomic and tran criptomic technique , many analy i platform have been propo ed to make en e of the re ulting data. Nonethele , mo t platform Read More...

03/12/2025 - Clustering is one of the fundamental unsupervised machine learning algorithms. It is often used to group quantitative proteomic or RNAseq expression data to suggest sub-types of a particular cancer. This presentation covers building a Read More...

12/04/2024 - Galaxy is a web-based computational workbench for analyzing and visualizing biomedical datasets that is used by thousands of scientists daily.   Galaxy enables accessible, reproducible, and scalable biomedical data science by any scientist Read More...

09/19/2024 - Qiagen Ingenuity Pathway Analysis (IPA) is a point-and-click software that enables scientists to discern how genomic, transcriptomic, proteomic, and metabolomic changes influence molecular biology pathways and networks. This software is available to NCI investigators, 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...

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 ::: :::

11/17/2021 - In this talk, Dr. David Kepplinger will describe the detrimental effects of “data-artifacts,” specifically as they relate to biomarker discovery and related feature selection techniques. He will also discuss a novel method for reliably 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...

03/22/2021 - Join Dear NCI Staff, The NCI Cloud Resources are chief components of the NCI Cancer Research Data Commons (CRDC), helping to bring together data and computational power to advance cancer research and discovery. These Read More...

03/17/2021 - Register/Join The focus of this webinar will be on two aspects of integrative analysis and translational research in the field of estrogen receptor-positive (ER+) breast cancer research. Namely, Dr. Meenakshi Anurag will discuss Read More...

02/18/2021 - Event is free, but registration is required. Register here to attend. Join the Office of Cancer Clinical Proteomics Research (OCCPR) for our 2021 webinar series! Hear from our Clinical Proteomic Tumor Analysis Consortium (CPTAC) scientists Read More...

02/19/2013 - 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:    Large Scale (gene 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...

In this session of the BTEP Coding Club, Brian Luke, PhD, Senior Principal Computational Scientist with the Advanced Biomedical Computational Science (ABCS) group, showed us the basic techniques involved in clustering using R and RStudio Read More...

The NCI Cancer Research Data Commons (CRDC) is a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data to drive scientific Read More...

First, split the data into labels and 2D arrays for training and testing as is the standard approach in ML. train_test_split function from the sklearn.model_selection module is commonly used to divide Read More...

First, split the data into labels and 2D arrays for training and testing as is the standard approach in ML. train_test_split function from the sklearn.model_selection module is commonly used to divide 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...

02/21/2024 - Dear colleagues, The Bioinformatics and Computational Biosciences Branch (BCBB) at NIAID invites you to join us for in-person hands-on workshops that will explore biovisualization techniques. Developers of UCSF ChimeraX and Cytoscape will be on Read More...

10/25/2022 - Speaker: Jill S. Barnholtz-Sloan, Ph.D. Associate Director Informatics and Data Science at the Center for Biomedical Informatics and Information Technology Senior Investigator Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, NCI Dr. 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...

02/08/2021 - Presenter: Dr. Marjan Gucek, director for the NHLBI Proteomic Core Summary: “Proteomics Core provides access to mass spectrometry and gel based proteomics for identification and quantitation of proteins and their post-translational modifications (PTM). Our 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...

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...

The .head() attribute of a Pandas data frame can be used to view by default the first five rows of a data frame. This a good way to see what information the columns in a Read More...

Data collected for a specific case in TCGA may have differed according to sample quality and quantity, cancer type, or technology available at the time of analysis. --- https://www.cancer.gov/ccg/research/genome-sequencing/ Read More...

The CCR Collaborative Bioinformatics Resource (CCBR) is a 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 expertise in 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...

Cancer research is a complex and data-intensive field. Cloud computing offers a powerful solution for researchers to store, analyze, and share large datasets efficiently. In this month’s topic spotlight, we will explore cloud resources 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...

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...

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...

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...

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...

ggpubr allows us to easily incorporate additional information into our plots (e.g., mean, individual case information, etc.). Where this package really shines is its ability to easily include the results of common statistical tests. Read More...