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Bioinformatics
02/14/2024 - Explore the intricate world of pathway analysis with Reactome. Reactome is an open-source, manually-curated and peer-reviewed biological pathway knowledgebase, free and open to the public. We will provide you an overview of the contents Read More...
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Bioinformatics
09/10/2024 - The training will overview the current status of pathway tools, with focus on software available to NIH community. It will discuss the biological interoperation of mutation and expression data in the context Read More...
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Bioinformatics
09/22/2023 - The training will overview the current status of pathway tools, with focus on software available to NIH community. It will discuss the biological interoperation of mutation and expression data in the context of pathways, Read More...
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Bioinformatics
06/24/2025 - Tran late gene li t into biological in ight u ing pathway enrichment tool . Thi training will provide an overview the current tatu of pathway tool , with focu on oftware available to NIH community. Read More...
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Bioinformatics
04/08/2025 - Reactome is a free, open-source, curated and peer-reviewed pathway database that includes bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge. This lesson will showcase the capabilities of Reactome in garnering biological Read More...
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Bioinformatics
The geom functions require a mapping argument. The mapping argument includes the aes() function, which "describes how variables in the data are mapped to visual properties (aesthetics) of geoms" (ggplot2 R Documentation). If Read More...
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Bioinformatics
ORA and FCS discard a large amount of information. These methods use gene sets, and even if the gene sets represent specific pathways, structural information such as gene product interactions, positions of genes, and types Read More...
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Bioinformatics
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...
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Confocal
2025 Sebastian R, Sun EG, Fedkenheuer M, Fu H, Jung S, Thakur BL, Redon CE, Pegoraro G, Tran AD, Gross JM, Mosavarpour S, Kusi NA, Ray A, Dhall A, Pongor LS, Casellas R, Aladjem MI. Mechanism Read More...
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Bioinformatics
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...
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Bioinformatics
10/23/2024 - Please send any questions and/or specific topic areas that you’re interested in hearing about for this presentation by Friday, 10/18 to Kayla Strauss . QIAGEN Ingenuity Pathway Analysis (IPA) is the leading Read More...
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Bioinformatics
The geom functions require a mapping argument. The mapping argument includes the aes() function, which "describes how variables in the data are mapped to visual properties (aesthetics) of geoms" (ggplot2 R Documentation). If Read More...
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Bioinformatics
10/23/2023 - QIAGEN Ingenuity Pathway Analysis (IPA) is the leading pathway analysis application among the life science research community and is cited in tens of thousands of articles for the analysis, integration and interpretation of data Read More...
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Bioinformatics
Lessons focus on gene ontology and pathway analysis. Lesson 17: Introduction to gene ontology and pathway analysis ( Recording ) Lesson 18: Functional enrichment with DAVID ( Recording ) Lesson 19: Pathway analysis with Qiagen IPA ( Recording ) Lesson 20: Review and Course Wrap-up ( Read More...
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Bioinformatics
Introduction to Qiagen Ingenuity Pathway Analysis Lesson objective In this lesson, we will continue to le arn about pathway analysis using the Qiagen Ingenuity Pathway Analysis(IPA) package. This class will be taught by Qiagen Read More...
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Bioinformatics
Functional enrichment and pathway analysis have broad and varying definitions. For our purposes, there are three general approaches: 1. Over-Representation Analysis (ORA), 2. Functional Class Scoring (FCS), and 3. Pathway Topology (PT) ( Khatri et al. 2012 ). Examining genes in Read More...
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Bioinformatics
Gene ontology and pathway analysis: PowerPoint slides
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Bioinformatics
Module 3: Pathway Analysis Lesson #: Intro to Gene ontology and pathway analysis Discuss what this is Where can we find descriptors geneontology.org organism specific databases What is KEGG? Lesson #: More on ORA, GSEA, GSVA pros Read More...
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Bioinformatics
12/07/2023 - This hands-on workshop will introduce the Ingenuity Pathway Analysis (IPA) and CLC Genomics Workbench tools, which are available to access from the NIH Library. IPA can be used identify biological relationships, mechanisms, pathways, functions, Read More...
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Bioinformatics
01/08/2025 - This three hour online training will focus on getting started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) . IPA enables you to quickly identify biological relationships, mechanisms, pathways, functions and Read More...
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Bioinformatics
06/26/2024 - This in-person hands-on workshop will introduce the Ingenuity Pathway Analysis (IPA), which is available to access from the NIH Library . IPA can be used identify biological relationships, mechanisms, pathways, functions, and diseases Read More...
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Bioinformatics
Differential expression and interpretation of results Brief introduction to gene ontology and pathway analysis
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Bioinformatics
Note that we now have differential expression by transcripts and our first column contains the transcript IDs. But what genes do these transcripts map to? We will need to do some data wrangling to find Read More...
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Bioinformatics
05/01/2025 - In this talk, Dr. Stergachis will present data on using Fiber-seq and deaminase-assisted Fiber-seq (DAF-seq) to resolve the functional impact of both germline and somatic genetic variants, as well as to identify somatic epimutations Read More...
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Bioinformatics
03/25/2025 - Dr. Ben Raphael will describe computational methods developed in his lab to analyze large-scale biological data related to cancer evolution, genetic variants, and structural variation in cancer genomes. He’ll share combinatorial and statistical Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
Reads not perfect Duplicate molecules (PCR artifacts skew quantitation) Multimapped reads - Some regions of the genome are thus classified as unmappable Aligners try very hard to align all reads, therefore fewest artifacts occur when Read More...
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Bioinformatics
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.
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Bioinformatics
We see similar organization of information for other annotations. For instance, DAVID pulls biomolecular pathway information from several sources such as KEGG. Clicking on the chart view for KEGG pathways we can see what pathways Read More...
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Bioinformatics
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Bioinformatics
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Bioinformatics
Discuss what this is Where can we find descriptors geneontology.org organism specific databases What is KEGG?
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Bioinformatics
In this lesson, we will continue to le arn about pathway analysis using the Qiagen Ingenuity Pathway Analysis(IPA) package. This class will be taught by Qiagen field application scientist.
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Bioinformatics
In the previous class, we got an overview of functional and pathway analysis, which help to put RNA sequencing results into biological context by informing us of things like biomolecular pathway, biological function, cellular localization, Read More...
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Bioinformatics
Mostly Computational intensive task requiring signigicant computer hardware. Quality Control Sample quality and consistency Is Trimming appropriate - quality/adaptors Alignment/Mapping Reference Target (Sequence and annotation) Alignment Program Alignment Parameters Mark Duplicates Post-Alignment Quality Read More...
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Bioinformatics
The following represents the basic ggplot2 template. ggplot(data = ) + (mapping = aes()) The only required components to begin plotting are the data we want to plot, geom function(s), and mapping aesthetics. Notice the + symbol following Read More...
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Bioinformatics
Purpose of RNA sequencing and what biological questions can RNA sequencing answer Experimental considerations Sample preparation Replicates Technical noise Read depth More depth for low expression genes More depth for low fold differences Read length Read More...
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Bioinformatics
Purpose of RNA sequencing and what biological questions can RNA sequencing answer Experimental considerations Sample preparation Replicates Technical noise Read depth More depth for low expression genes More depth for low fold differences Read length Read More...
Bethesda, MD
Collaborative
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...
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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...
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Bioinformatics
06/13/2025 - Dr. Fuhai Li,&nb p;A ociate Profe or at the chool of Medicine and Computer cience & Engineering, Wa hington Univer ity, will pre ent novel approache that combine large language Read More...
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Bioinformatics
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...
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Bioinformatics
Bioconductor packages are divided into four types: software annotation data experiment data workflows. Software packages themselves can be subdivided into packages that provide infrastructure (i.e., classes) to store and access data, and packages that Read More...
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Bioinformatics
Bioconductor packages are divided into four types: software annotation data experiment data workflows. Software packages themselves can be subdivided into packages that provide infrastructure (i.e., classes) to store and access data, and packages that Read More...
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Bioinformatics
CLC Genomics Workbench (Qiagen) is a graphical user interface (GUI) based bioinformatics software. It houses tools for molecular biology and Next Generation Sequencing (NGS) analysis (see Listing of Analysis Functions below). {{Sdet}}{{Ssum}}Listing of Read More...
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Bioinformatics
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...
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Bioinformatics
07/24/2025 - The "Data Vi ualization in R" erie focu e on u ing ggplot and the broader tidyver e eco y tem to create in ightful and cu tomizable vi ualization . It cover Read More...
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Bioinformatics
03/20/2024 - Geneious Prime is a comprehensive software suite of molecular biology and NGS analysis tools. In this presentation, a Field Application Scientist with Geneious Prime, Dr. Evan Starr will discuss a general introduction to the Read More...
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Bioinformatics
Last lesson we discussed the three basic components of creating a ggplot2 plot: the data , one or more geoms , and aesthetic mappings . ggplot(data = ) + (mapping = aes()) But, we also learned of other features that greatly Read More...
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Bioinformatics
The following represents the basic ggplot2 template: ggplot(data = ) + (mapping = aes()) We need three basic components to create a plot: the data we want to plot , geom function(s) , and mapping aesthetics . Notice the + symbol Read More...
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Bioinformatics
Many graphs, like scatterplots, plot the raw values of your dataset. Other graphs, like bar charts, calculate new values to plot: bar charts, histograms, and frequency polygons bin your data and then plot bin counts, Read More...
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Bioinformatics
Remember, to create a plot all you you need are the data , geom_function(s) , and mapping arguments. However, there are additional components that can be added to our core components to enable us to Read More...
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Bioinformatics
For the following plots, let's use the diamonds data ( ?diamonds ). The diamonds dataset comes in ggplot2 and contains information about ~54,000 diamonds, including the price, carat, color, clarity, and cut of each diamond. --- R4 Read More...
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Bioinformatics
There are 3 components required for all ggplot2 plots: DATA, GEOM_FUNCTION, and aes MAPPINGS. ggplot(data = ) + ( mapping = aes())
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Bioinformatics
Using the boxplot you created above, reorder the x-axis so that color is organized from worst (J) to best (D). There are multiple possible solutions. Hint: Check out functions in the forcats package (a tidyverse Read More...
Rockville, MD
Collaborative
We are a bioinformatics team within the Center for Biomedical Informatics and Information Technology’s (CBIIT’s) Cancer Informatics Branch (CIB)—soon to be referred to as the Informatics and Data Science (IDS) Program. Headed Read More...
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Protein Characterization Laboratory (PCL) offers various technologies to CCR investigators to characterize proteins and metabolites. The laboratory develops and applies state-of-the-art analytical technologies, primarily mass spectrometry, liquid chromatography, and Surface Plasmon Resonance (SPR), to advance Read More...
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Discover expert help with analysis, processing applications, and licensed software packages.
Frederick, MD
Core Facility
Molecular Cytogenetics Core Facility facilitates the assessment of structural and numerical genomic changes in pre-cancer and cancer research models. This core provides comprehensive support for the cytogenetic analysis of cells from human and research animal Read More...
Web Page
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...
Frederick, MD
Core Facility
Protein Characterization Laboratory (PCL) offers various technologies to CCR investigators to characterize proteins and metabolites. The laboratory develops and applies state-of-the-art analytical technologies, primarily mass spectrometry, liquid chromatography, and Surface Plasmon Resonance (SPR), to advance Read More...
Bloomington, IN
Repositories
Trans NIH Facility
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...
Rockville, MD
Core Facility
Trans NIH Facility
The Functional Genomics Laboratory (formerly, the RNAi Screening Facility) of the National Center for Advancing Translational Sciences (NCATS) assist investigators with all stages of project planning and execution, beginning with assay development through genome-wide siRNA Read More...
Bethesda, MD
Trans NIH Facility
The Biomedical Engineering and Physical Science (BEPS) shared resource supports NIH’s intramural basic and clinical scientists on applications of engineering, physics, imaging, measurement, and analysis. BEPS is centrally located on the main NIH campus Read More...
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Bioinformatics
Data Analysis Overview RNASEQ - Data Analysis WorkFlow Mostly Computational intensive task requiring signigicant computer hardware. Quality Control Sample quality and consistency Is Trimming appropriate - quality/adaptors Alignment/Mapping Reference Target (Sequence and annotation) Read More...
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Bioinformatics
Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To generate high quality data reports using R Markdown to make data analysis more reproducible. Reminder: Uploading files from RStudio Server Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
11/18/2014 - Day 1 - AM (9:30-12:30) Introductory Lecture ( Peter FitzGerald, PhD - CCR, NCI ) Introduction Historical Perspective and Technical Variations Experimental methodology Comparison to ChIP-Chip Data Analysis Experimental Design Quality Control Peak Calling (Different methodologies) Major Read More...
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Bioinformatics
06/17/2025 - Explore tran cription factor binding ite analy i and peak calling. Thi training will introduce ChIP- eq data analy i followed by a tep-by- tep live demon tration of a ChIP- eq analy i Read More...
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Bioinformatics
06/10/2025 - Under tand how to identify and interpret variant . Thi training will introduce Exome equencing data analy i followed by a tep-by- tep live demon tration of an exome equencing analy i workflow u ing Read More...
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Bioinformatics
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...
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Bioinformatics
05/07/2025 - Join Dr. Eytan Ruppin, NCI investigator in the Center for Cancer Research, as he discusses Path2Space, a new and unpublished deep learning approach that predicts spatial gene expression directly from histopathology slides. Spatial Read More...
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Bioinformatics
01/27/2025 - NCI CCR Liver Cancer Program Seminar Series Dr. Sethupathy is professor of physiological genomics and chair of the Department of Biomedical Sciences at Cornell University. He leads a research lab focused on genome-scale and Read More...
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Bioinformatics
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...
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Bioinformatics
12/12/2024 - This class will introduce bulk RNA sequencing analysis using Qiagen software. Participants will learn how to process FASTQ files and obtain differential expression using CLC Genomics Workbench as well as extract biological insight using Read More...
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Bioinformatics
12/03/2024 - This one and a half hour online training will provide a demonstration of how to build a Bulk RNA-Seq data analysis pipeline using a fastq file. Partek Flow Read More...
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Bioinformatics
11/26/2024 - Dr. Daniel Orringer received his M.D. from The Ohio State University, completed his residency in neurological surgery at the University of Michigan Health System, and fellowship training in neuro-oncology at the Massachusetts General-Brigham Read More...
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Bioinformatics
10/23/2024 - CellMinerCDB is an interactive public web application ( https://discover.nci.nih.gov/cellminercdb/ ) that simplifies access and exploration of cancer cell line pharmacogenomic data across different sources such as the National Cancer Institute (NCI), Read More...
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Bioinformatics
07/09/2024 - Galaxy is a scientific workflow, data integration, data analysis, and publishing platform that makes computational biology accessible to research scientists that do not have computer programming experience. This workshop will cover exome sequencing data Read More...
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Bioinformatics
06/06/2024 - The CCR Genomics Core Facility is pleased to host a virtual technology workshop with EpiCypher on CUT&RUN library prep/sequencing Presentation overview: The location of histone post-translational modifications and chromatin-associated proteins Read More...
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Bioinformatics
06/04/2024 - Galaxy is a scientific workflow, data integration, data analysis, and publishing platform that makes computational biology accessible to research scientists that do not have computer programming experience. This training will introduce ChIP sequencing data Read More...
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Bioinformatics
Transformed data will be available in the SCT assay, which is set as the default after running sctransform. During normalization, we can also remove confounding sources of variation, for example, mitochondrial mapping percentage The glmGamPoi Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
03/05/2024 - This in-person workshop will show participants how to identify cell types based on statistics, visualization, and canonical markers. One Peripheral blood mononuclear cells (PBMCs) sample will be used to illustrate a basic Single Cell Read More...
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Bioinformatics
After this class, participants will Become familiar analyzing single cell RNA sequencing data using Partek Flow including Importing of data into a Partek Flow project QA/QC, filtering, and normalizing of single cell RNA data Read More...
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Bioinformatics
Course Overview Partek Flow is a start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with Read More...
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Bioinformatics
ggplot2 uses a default coordinate system (the Cartesian coordinate system). This isn't super important until we want to do something like make a map (See coord_quickmap() ) or create a pie chart (See coord_ Read More...
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Bioinformatics
Objectives Review the grammar of graphics template. Learn about the statistical transformations inherent to geoms. Learn more about fine tuning figures with labels, legends, scales, and themes. Learn how to save plots with ggsave() . Review Read More...
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Bioinformatics
Love Data Week 2024 is quickly approaching! What is Love Data Week? Love Data Week is an international week of celebrating all things data related, with an emphasis on data management, sharing, and security. Read More...
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Bioinformatics
01/19/2024 - Trey Ideker, Ph.D., is a professor of medicine, bioengineering, and computer science, and former chief of genetics at the University of California San Diego (UCSD). Additionally, he is director or co-director of the Read More...
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Bioinformatics
Help Session Lesson 4 Plotting with ggplot2 For the following plots, let's use the diamonds data ( ?diamonds ). The diamonds dataset comes in ggplot2 and contains information about ~54,000 diamonds, including the price, carat, color, clarity, and Read More...
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Bioinformatics
Introduction to ggplot2 Objectives Learn the ggplot2 syntax. Build a ggplot2 general template. By the end of the course, students should be able to create simple, pretty, and effective figures. Data Visualization in the tidyverse Read More...
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Bioinformatics
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...
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Bioinformatics
11/16/2023 - This class will provide a demonstration of how to identify cell types based on statistics, visualization, and canonical markers. One Peripheral blood mononuclear cells (PBMCs) sample will be used to illustrate a basic Single Read More...
Web Page
Bioinformatics
10/03/2023 - Multiplexed antibody-based imaging enables the detailed characterization of molecular and cellular organization in tissues. Significant advances in the field now allow high-parameter data collection (60+ targets); however, considerable expertise and capital are needed to validate Read More...
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Bioinformatics
09/29/2023 - Dr. Peng Jiang started his research program at NCI in July 2019. His lab focuses on developing big data and artificial intelligence frameworks to identify biomarkers and new therapeutic approaches for cancer immunotherapies in solid Read More...
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Bioinformatics
09/13/2023 - Partek Flow is your start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing Read More...
Frederick, MD
Core Facility
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...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Research Festival The NIH Research Festival highlights the groundbreaking science and the vibrant NIH community driving our Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. If you haven’t Read More...
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Large STARS can be used to request supplemental funding exceeding $8,000 to offset experimental costs (e.g., core or vendor services or specialized reagents). Applications require detailed scientific and budgetary justification and must be proposed in Read More...
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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...
Web Page
CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Advance your research with the NIH Mouse Imaging Facility (MIF) The NIH Mouse Imaging Read More...
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CREx News & Updates June 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...
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CREx News & Updates April 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...
Bethesda, MD
Trans NIH Facility
The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...
Bethesda, MD
Collaborative
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...
Bethesda, MD
Core Facility
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...
Web Page
The OSTR offers cutting-edge technology platforms to the CCR scientific community through centralized facilities. The videos accessed through this page are designed to introduce the various scientific methodologies OSTR makes available through the cores on Read More...
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Confocal
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...
Web Page
Bioinformatics
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...
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Bioinformatics
Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To learn about options for report generation with R: RMarkdown and Quarto. Introducing Bioconductor Bioconductor is both an open source project Read More...
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Bioinformatics
Register now for an upcoming seminar on January 22, 2025 , “Revealing Tumor-Promoting Signals in Breast Cancer Subtypes: A NIDAP Analysis of Single-Cell Data” . This one-hour talk will feature guest speaker and NIDAP developer, Josh Meyer, who will Read More...
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Bioinformatics
09/23/2024 - Come to the Fair! In the morning session, several different groups will speak about their training and education programs. The afternoon session will be devoted to learning about research using AI across Read More...
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Bioinformatics
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...
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Bioinformatics
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...
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Bioinformatics
Data visualization with ggplot2 Objectives To learn how to create publishable figures using the ggplot2 package in R. By the end of this lesson, learners should be able to create simple, pretty, and effective figures. Read More...
Web Page
Bioinformatics
A way to add variables to a plot beyond mapping them to an aesthetic is to use facets or subplots. There are two primary functions to add facets, facet_wrap() and facet_grid() . If faceting Read More...
Web Page
Bioinformatics
A way to add variables to a plot beyond mapping them to an aesthetic is to use facets or subplots. There are two primary functions to add facets, facet_wrap() and facet_grid() . If faceting Read More...
Web Page
Bioinformatics
Objectives Review important data wrangling functions Put our wrangling skills to use on a realistic RNA-Seq data set Data Wrangling Review Important functions by topic Importing / Exporting Data Importing and exporting data into the R Read More...