Total Results Found: 69
Finding Correlation between Gene and Protein Expression Data with Qlucore using Regression
09/11/2024 - Qlucore Omics Explorer is a point-and-click package available to NCI CCR scientists that enables visualization-based analysis of multi-omics data including RNA-seq, scRNA-seq, proteomics, metabolomics, as well as enabling the use of machine learning classification Read More...
RNAseq Data Analysis in Qlucore
08/14/2024 - In this introduction session, Dr. Yana Stackpole will discuss biologist-friendly ways to import and analyze RNAseq data in Qlucore, followed by integrated GSEA for biological interpretation. She will pick a public cancer-related dataset Read More...
Proteomics Data Analysis in Qlucore : from Mass Spectrometry Output to Statistical Analysis, Visualization to Biological Interpretation in GSEA
07/10/2024 - Qlucore Omics Explorer is a point-and-click software for analyzing various omics data including RNA sequencing (bulk and single cell), proteomics, and metabolomics. Participants will learn to perform QC, construct visualizations (ie. PCA, heatmap, volcano, Read More...
Visual and fast bulk RNAseq analysis for biologists using Qlucore Omics Explorer
05/08/2024 - Qlucore Omics Explorer is a point-and-click software that enables analysis of RNA sequencing (bulk and single cell), proteomics and metabolomics data. It’s machine learning capabilities also allow for classification of cell types. This Read More...
Qlucore Plots in Focus: Venn Digrams, Pie Charts, and Variable List Manipulations
12/13/2023 - In this session we will take a closer look at the usage and all configuration options for Venn diagram and Pie chart in Qlucore. Also, we will look at variable list manipulations like compare Read More...
Qlucore Plots in Focus: Heatmaps and PCA
11/29/2023 - In this session we will take a closer look at the usage and all configuration options for heatmaps and PCA (sample and variable) plots in Qlucore. Also, we will look at easy and cool Read More...
Part 2- Visualization-guided analysis + biological interpretation of OMICs data in Qlucore
08/29/2023 - In this introductory session, we will look at a biologist-friendly way to analyze RNAseq data in Qlucore, integrated GSEA, and then taking results into NDEx + Cytoscape for biological network analysis.
Part 1- Visualization-guided analysis + biological interpretation of OMICs data in Qlucore
08/22/2023 - In this introduction webinar, broken down into two 40 minute sessions one week apart, we will look at a biologist-friendly way to analyze RNAseq data in Qlucore, integrated GSEA, and then taking results into NDEx + Read More...
Qlucore v 3.9: New features - Violin Plots, Statistical Tests, and Using Plot Labels and Colors Effectively
06/07/2023 - " New Violin plot, more statistical tests, and even more info for 3D PCA in Qlucore 3.9 " We are excited to share the new Qlucore Omics Explorer version 3.9 with you! It brings to you a Violin Read More...
Visualization-Guided Analysis + Biological Interpretation of OMICs Data in Qlucore
02/23/2023 - In this session we will go over a visual, dynamic, and interactive way to work with OMICs data using public leukemia GEO gene expression data sets. We will approach the data with confirmatory and Read More...
Bulk RNA-Seq Data Analysis: Learn about Expression Counts with Qlucore
01/25/2023 - Bulk RNA-Seq data analysis - learn all about expression counts (raw counts, FPKM, RPKM, TMM, TPM, CPM). Those of you, who are hands-on with RNA-seq, or even simply reading publications on this know there Read More...
Qlucore: Pathway Analysis with Gene Set Enrichment Analysis (GSEA)
04/06/2022 - Gene set enrichment analysis (GSEA) is a statistical method that can be used to determine if gene sets are differentially expressed in different phenotypes. Qlucore Omics Explorer has implemented the GSEA method in a Read More...
Your Single Cell Data, from 10x Output to Clustering, Cluster ID and Statistical Analysis in a Visual Qlucore Platform
02/23/2022 - We will go over data clean up, visualization, clustering (tSNE, UMAP, 3D PCA) and cluster identification using your markers. Qlucore supports automatic import of 10x data, user-friendly visualization, easier cluster ID and visual statistics. Read More...
Visualization-guided Analysis and Interpretation of Omics Data in Qlucore
03/30/2021 - Register Presenter: Yana Stackpole, PhD (Qlucore Training and Support) Description: In this session we will go over a visual, dynamic and interactive way to work with OMICs data using public leukemia GEO gene expression Read More...
Qlucore Omics Explorer Hands-on Workshop
02/20/2020 - Attendance at this hands-on workshop will be limited to 20 people. NCI/CCR: To get access to Qlucore, put a request into NCI at Your Service under Get Help https://service.cancer.gov/Get Help Read More...
Qlucore Omics Explorer: Learn how to easily analyze your gene expression data yourself
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...
BTEP: Qlucore Omics Explorer, Fast and Easy Exploration of NGS Data
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...
Navigating Qlucore Omics Explorer
10/25/2017 - BTEP encourages researchers with high-throughput data from NGS or mutiple sources to attend this hands-on workshop on Qlucore Omics Explorer (QOE), which handles various types of data with the platform-independent data import Wizard module. Read More...
Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software: Qlucore Omics Explorer
01/01/1970 - Qlucore Omics Explorer (Qlucore) is a graphical user interface (GUI) based package used for -omics data anlaysis. Qlucore Omics Explorer can analyze many types of -omics data that are in tabular format (e.g., RNA Read More...
Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software: Qlucore Omics Explorer
01/01/1970 - License type: CCR wide You must submit a request through service.cancer.gov to obtain access to Qlucore Omics Explorer. This software requires access to a floating license server (OSTR has 5 licenses). Please be sure Read More...
Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software: Access Qlucore Omics Explorer
01/01/1970 - License type: CCR wide You must submit a request through service.cancer.gov to obtain access to Qlucore Omics Explorer. This software requires access to a floating license server (OSTR has 5 licenses). Please be sure Read More...
Qlucore Omics Explore
- Qlucore Omics Explorer (Qlucore) is a graphical user interface (GUI) package used for 'omics data analysis. This software can analyze many different types of 'omics data when presented in tabular format. QLUCORE: THE DIY BIOINFORMATICS Read More...
Visual and Fast Bulk RNA-Seq Analysis for Biologists with Qlucore Omics Explorer - RESCHEDULED
06/29/2022 - THIS EVENT HAS BEEN RESCHEDULED FROM 6/22 TO 6/29 AT 11:00 AM USING THE SAME MEETING LINK. We will go over RNA-seq from experimental design, data import options, data normalization options, to to statistical tests and biological Read More...
Qlucore: Import and Analyze public data from SRA, GEO and TCGA
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...
Qlucore Webinar
04/11/2019 - https://cbiit.webex.com/recordingservice/sites/cbiit/recording/8a6265d50fb241b292cdcaeb6f20aa1b/playback
Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software: Qlucore Omics Explorer
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Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software: Qlucore Omics Explorer 3.8 feature overview
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Class Documents
05/12/2025 - Most BTEP courses include detailed course materials including lesson content, additional resources, and lesson associated data. These course materials are listed here so that learners can easily return to and review concepts taught in class Read More...
BTEP Video Archive of Past Classes
01/08/2025 - 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...
Machine Learning for RNA-seq Data vs. Statistical DGE Analysis – Utilizing Both for Deeper Insights
06/12/2024 - Join us for an engaging training session where we will examine the similarities and differences between machine learning and statistical differential gene expression (DGE) analysis using Qlucore Omics Explorer. Qlucore Omics Explorer is a Read More...
Getting Started with scRNA-Seq Seminar Series: Analysis Ecosystems
05/29/2024 - Following Cell Ranger and/or other pre-processing tools, you will have a gene-by-cell counts table for each sample. The three most popular frameworks for analyzing these count matrices include: R ( Seurat ). Seurat, brought to you Read More...
Getting Started with scRNA-Seq Seminar Series: Introduction to scRNA-Seq with R (Seurat)
05/29/2024 - 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...
Bioinformatics Resources for NCI CCR Scientists
02/22/2024 - Join us for an introduction to bioinformatics resources for NCI CCR researchers. Featuring: NIH Bioinformatics Calendar Programming Classes (R, Unix, Python) Class documentation Website resources working on high performance compute cluster (Biowulf/Helix) Next-Gen Read More...
Commercial Bioinformatics Software Available to CCR Researchers
11/30/2023 - 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...
Bioinformatics for Beginners 2022: Other and related tools
09/04/2023 - Gene Set Enrichment Analysis (GSEA) EnrichmentMap REVIGO (reducing and visualizing gene ontology) Pathview iPathwayGuide (proprietary) Qiagen IPA (proprietary, CCR license) Qlucore (proprietary, CCR license) GeneMANIA CellNetAnalyzer PARADIGM
Bioinformatics for Beginners 2022: Introduction to the Bioinformatics Training and Education Program (BTEP) website
09/04/2023 - on the front page is the NIH Bioinformatics Calendar (search by topic, or organizer, info on current, future and past events) Licenses are available to online learning platforms (Dataquest and Coursera), where you can learn Read More...
Bioinformatics for Beginners 2022: Functional Class Scoring (FCS)
09/04/2023 - Includes ‘gene set scoring’ methods such as GSEA, which first compute DE scores for all genes measured, and subsequently compute gene set scores by aggregating the scores of contained genes. --- Geistlinger et al. 2021 GSEA Read More...
Bioinformatics for Beginners 2022: Gene ontology and pathway analysis
09/04/2023 - Gene ontology and pathway analysis Objectives Determine potential next steps following differential expression analysis. Tour geneontology.org and understand the three main ontologies. Learn about different methods and tools related to functional enrichment and pathway Read More...
Bioinformatics for Beginners 2022: Syllabus
09/04/2023 - Syllabus for “Bioinformatics for Beginners" Instructors: Co-Instructors: To participate in these courses, you need a computer, reliable internet connection and a web browser. All classes and help sessions will be held online. This class will Read More...
Pathways and gene sets: What is functional enrichment analysis?
06/23/2023 - 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 or Python: Which should I learn?
06/22/2023 - A common question posed to the Bioinformatics Training and Education Program (BTEP) is “How can I learn R and Python to analyze my data?”. First, it’s important to state that learning any programming language Read More...
Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software
06/15/2023 - Are you interested in analyzing your own data, but you lack coding experience? No problem. There are several proprietary -omics solutions available to researchers within the Center for Cancer Research (CCR). If you have Read More...
Introduction to Bioinformatics Resources for NCI CCR Scientists
01/12/2023 - Join us for an introduction to bioinformatics resources for NCI CCR researchers. We will look at the information available on the BTEP website, such as the: NIH Bioinformatics Calendar Training opportunities Upcoming events New Read More...
Making Sense of the Data: Visualization, Pathways, and Enrichment Analysis (2-day)
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...
Data Visualization, Exploration and Analysis
02/08/2016 - BTEP Workshop on Data Visualization, Exploration and Analysis 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) Read More...
Data Integration Workshop
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...
Workshop on TCGA Data Mining
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...
Bioinformatics Resources for CCR Scientists: Getting help
01/01/1970 - Qlucore Omics Explorer has extensive documentation. To access these, users will need to create an account on the Qlucore Omics website. There are also webinars that showcase the use of various workflows. BTEP also hosts Read More...
Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software: Techincal Support
01/01/1970 - Contact Yana Stackpole (Qlucore) for help with support and training. If you need help with some aspect of your data analysis with Qlucore Omics Explorer, 30 minute training sessions can be booked directly with Yana via Read More...
Bioinformatics Resources for CCR Scientists: Access Information
01/01/1970 - You must submit a request through service.cancer.gov to obtain access to Qlucore Omics Explorer. This software requires access to a floating license server (OSTR has 5 licenses). Please be sure to close the application Read More...
Bioinformatics Resources for CCR Scientists: Input Data Types
01/01/1970 - Standard formats generally accepted: BAM GTF QUANT.sf (Qlucore) GEDATA (Qlucore) CEL CHP BioArray Software Environment TXT CSV GEO SRA CYTOBAND 10X GENOMICS (requires barcodes.tsv, features.tsv, matrix.mtx)
Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software: Event Slides and Other Resources
01/01/1970 - Slides: Qlucore Omics Explorer Qlucore Omics Explorer v3.8 Features Overview
Bioinformatics Resources for CCR Scientists: Recommendations
01/01/1970 - Geneious Prime can not be used for epigenetic analysis. Please see Partek Flow or CLC Genomics Workbench for this functionality. This package does not support pathway or gene ontology analyses. Please see Partek Flow, Partek Read More...
Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software: Additional Information
01/01/1970 - Check out additional information on Qlucore Omics Explorer, including useful links, in the BTEP Resource pages.
Bioinformatics Resources for CCR Scientists: Recommendations
01/01/1970 - Qlucore Omics Explorer does not perform upstream tasks in Next Generation Sequencing such as quality control, read mapping, or deriving gene expression counts. Use Partek Flow, Qiagen CLC Genomics Workbench, or Geneious Prime.
Bioinformatics Resources for CCR Scientists: Things to Know
01/01/1970 - Qlucore Omics Explorer specializes in taking tabular omics data (e.g, RNA sequencing read counts) and producing robust visualizations. If an investigator is interested only in visualizations rather than tabular outputs, this would be the Read More...
Bioinformatics Resources for CCR Scientists: Announcements
01/01/1970 - Announcements are in the form of "news", including updated information about online learning resource licenses (Coursera, Dataquest) and available NGS analysis software packages (Partek Flow, Qlucore, Qiagen, etc.), and "bulletins". The bulletins are a monthly Read More...
Bioinformatics Resources for CCR Scientists: Description
01/01/1970 - Qlucore Omics Explorer (Qlucore) is a graphical user interface (GUI) based package used to generate visualizations, elucidate biological function, and classify samples as well as cells for omics data. {{Sdet}}{{Ssum}}Listing of Analysis Functions{{ Read More...
Bioinformatics Resources for CCR Scientists: Output Data Types
01/01/1970 - Images PNG JPG BMP TIF Tabular data GEDATA (Qlucore)
Bioinformatics Resources for CCR Scientists: Gene Expression
01/01/1970 - {{Sdet}}{{Ssum}}Gene expression by microarray{{Esum}} CLC Genomics Workbench What file types can I start my analysis with? Affymetrix Gene Chip (CHP, NetAFFx, CEL) Illumina BeadChip TSV CSV Partek Flow What file types can Read More...
Bioinformatics for Beginners, January 2025: Other and related tools
01/01/1970 - Gene Set Enrichment Analysis (GSEA) EnrichmentMap REVIGO (reducing and visualizing gene ontology) Pathview iPathwayGuide (proprietary) Qiagen IPA (proprietary, CCR license) Qlucore (proprietary, CCR license) GeneMANIA CellNetAnalyzer PARADIGM
Bioinformatics Resources for CCR Scientists: Commercial Software
01/01/1970 - Below is a list of licensed software available for use by CCR Researchers. Linked software pages include a brief description of each software, recommendations, things to know, input data types, output data types, access information, Read More...
Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software: Event Description
01/01/1970 - Analyzing your data WITHOUT coding experience: Bioinformatics Licensed Software is a two-hour event featuring four guest speakers from popular commercial software accessible by individuals affiliated with the Center for Cancer Research (CCR). Guest speakers will Read More...
BTEP Coding Club: Functional Class Scoring (FCS)
01/01/1970 - Includes ‘gene set scoring’ methods such as GSEA, which first compute DE scores for all genes measured, and subsequently compute gene set scores by aggregating the scores of contained genes. --- Geistlinger et al. 2021 GSEA Read More...
Bioinformatics Resources for CCR Scientists: Biological Insights
01/01/1970 - {{Sdet}}{{Ssum}}Pathway, network, and gene ontology{{Esum}} Partek Flow What file types can I start my analysis with? FASTQ BAM TXT Partek Genomics Suite What file types can I start my analysis with? BAM Read More...
Bioinformatics for Beginners, January 2025: Functional Class Scoring (FCS)
01/01/1970 - Includes ‘gene set scoring’ methods such as GSEA, which first compute DE scores for all genes measured, and subsequently compute gene set scores by aggregating the scores of contained genes. --- Geistlinger et al. 2021 These Read More...
BTEP Coding Club: Tools to perform GSEA
01/01/1970 - There are several tools and packages available for performing GSEA, including but not limited to the following: GSEA software: The original GSEA software developed by the Broad Institute, which provides a user-friendly interface for performing Read More...