Search Results for: body composition

NCI LASP Animal Research Technology Support (ARTS) provides customized technical support for basic and translational animal-based research to the scientific community. We offer a wide array of services ranging from expert colony management to the Read More...

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...

The PPS encompasses all scientific analyses related to pharmacology, once the specimen has been collected and stored. There is a multi-step process to evaluate how the drug is being handled by the body after administration. Read More...

The Laboratory Animal Sciences Program (LASP) of the Frederick National Laboratory operates a Gnotobiotics Facility (GF) to support research focused on the role of microbiota in cancer inflammation, pathogenesis, and treatment response. The GF can Read More...

The Neurorehabilitation and Biomechanics Research Section (also referred to as the NAB LAB) is a multidisciplinary group of highly qualified scientists, clinical and technical staff, and trainees with diverse backgrounds including medical, physical therapy, neuroscience Read More...

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...

The Clinical Image Processing Service (CIPS) offers timely and accurate advanced image processing of diagnostic radiology images for clinical care, research, and training. CIPS’ functions include clinical services and scientific researches. Established Technologies CIPS can Read More...

06/16/2022 - Sarah Teichmann is co-founder and principal leader of the Human Cell Atlas (HCA) international consortium. The International Human Cell Atlas initiative aims to create comprehensive reference maps of all human cells to further understand Read More...

06/16/2022 - Sarah Teichmann, Ph.D., Fellow of the Academy of Medical Sciences (UK FMedSci), Fellow of the Royal Society (FRS), Wellcome Sanger Institute Sarah Teichmann is co-founder and principal leader of the Human Cell Atlas ( Read More...

01/10/2025 - NIH DIRECTORS SEMINAR SERIES In this presentation, Dr. Scholz will discuss the approach to tackling complex neurodegenerative diseases using modern genomic tools, focusing on Lewy body dementia, a major research area in her lab. Read More...

Can we use microbial community composition to predict a condition? For example, maybe we are interested in whether microbial community composition can predict a cancer state from a non-cancer state. In QIIME 2, we could use Read More...

Normalization in RNA sequencing is important as this should place expression data for all samples under the same distribution. This process also removes technical variations due to sequencing depth (ie. more sequences generated from one Read More...

RSeQC package provides a number of useful modules that can comprehensively evaluate high throughput sequence data especially RNA-seq data. “Basic modules” quickly inspect sequence quality, nucleotide composition bias, PCR bias and GC bias, while “RNA-seq Read More...

Let's use our practice data set to run ANCOM. Step 1: Filter out low abundance / low prevalent ASVs. Note: this will shift the composition of the samples, and thus could bias results. mkdir ancom qiime Read More...

03/05/2021 - Overview: The Human Cell Atlas (HCA) is an ambitious global initiative that aims to create a comprehensive reference map of all human cells—the fundamental units of life—as a basis for both understanding Read More...

The syntax for writing a function is as follows: function(x) { body # do something with x } where function is the function used to write the function, x is one or more arguments, and bodyis the Read More...

An interactive heatmap of the percent composition of each nucleotide base (A,T,C,G) along the bases (horizontal axis) for each of the FASTQ files (vertical axis) is presented next. Hover over a tile Read More...

ANCOM (Analysis of Composition of Microbiomes) additive log ratio approach assumes that less than 25 % of features change between groups q2-composition plugin Need to filter rare taxa w-statistic - the number of null hypotheses rejected Read More...

The next figure shows "Per base sequence content", which is essentially the sequence make up along the bases of reads in the FASTQ file. If a library is random, then the percent composition Read More...

11/08/2024 - Learn microbiome analysis basics in R with phyloseq. This workshop will cover different types of analysis frequently used in microbiome studies, including sample diversity, community composition, and differential taxa. The techniques we learn will Read More...

R functions perform specific tasks. R has a ton of built-in functions and functions available through additional packages. You can also create your own functions. The general syntax for a function is the name followed Read More...

A function in R (or any computing language) is a short program that takes some input and returns some output. An R function has three key properties: Functions have a name (e.g. dir, getwd); Read More...

We can visualize sample by sample taxonomic composition using a stacked bar plot generated with qiime taxa barplot . Let's take a look. qiime taxa barplot \ --i-table filtered-table-3.qza \ --i-taxonomy taxonomy.qza \ --m-metadata-file /data/sample-metadata. Read More...

Double-click IGV icon on desktop. Genomes -> Load Genome from Server (Human hg18) File -> Load from Server -> Available Datasets -> Body Map 2.0 (Illumina HiSeq) -> Merged 50 bp and 75 Read More...

An R function is like a unix command. Functions perform specific tasks. R has a ton of built-in functions and functions available through additional packages. You can also create your own functions. The general syntax Read More...

04/22/2021 - Presenter: Dr. Bernadette Redd is Lead Radiologist, Body MRI, Radiology and Imaging Sciences, at the NIH Clinical Center. Dr. Redd earned her Doctorate in Medicine from the Columbia University College of Physicians and Surgeons Read More...

Let's use penguins for additional practice. The penguins data contains Data on adult penguins covering three species found on three islands in the Palmer Archipelago, Antarctica, including their size (flipper length, body mass, bill Read More...

Remove technical variants while keep biological differences Will use median ratio for DESeq2, this removes variations from Differing sequencing depth per sample Variations in RNA composition between biological conditions Post normalization report shows distribution table Read More...

Normalization of gene expression estimates obtained from the quantification step is important as this will remove technical or non-biological variants in the data such as: Differences in sequencing depth between samples (ie. not all samples Read More...

04/10/2025 - TumorDecon is a computational tool at an early stage of contributing to the intersection of bioinformatics and oncology. The goal of TumorDecon is to estimate the percentages of various immune cells from gene expression Read More...

04/19/2024 - Dear Colleagues,    This webinar will introduce TumorDecon, a computational tool that's at an early stage of contributing to the intersection of bioinformatics and oncology.   TumorDecon aims to Read More...

Let's use our practice data set again, and see if we can predict group membership (old vs young) by microbial composition. We will use the sample-classifier pipeline. This pipeline splits our data into training Read More...

Lesson 7: Course Wrap-Up Learning Objectives Introduce the QIIME2 microbiome workflow for Biowulf Review key concepts Showcase additional plugins QIIME 2 on Biowulf As mentioned previously, QIIME 2 is installed on Biowulf. To see available versions use module Read More...

11/14/2022 - During this webinar, the  Genomic Data Commons ’ (GDC’s) Drs. Zhenyu Zhang and Bill Wysocki will review the different types of harmonized data that the GDC makes available for the cancer research community. The Read More...

10/27/2021 - Wrapping up its final webinar of 2021, the NCI Cancer Research Data Commons (CRDC) Cancer Genomics Cloud (CGC) welcomes Cold Spring Harbor Laboratory fellow Dr. Pascal Belleau. He will share his findings from recent work Read More...

10/13/2021 - Register for the  2021 Clinical Proteomics Tumor Analysis Consortium (CPTAC) Virtual Scientific Symposium  to hear CPTAC investigators share their latest discoveries in the field of cancer proteogenomics, cancer research, and  data analysis  tools. In addition Read More...

06/08/2020 - Extensive investigations have revealed intra-genomic variation in somatic mutation rates influenced by the sequence composition, structure, and local chromatin features of the genome. I will review the literature on mechanisms underlying the intra-genome mutational Read More...

Diabetes is a chronic health condition affecting millions worldwide. Early prediction of diabetes can help in timely management and prevention of complications. In this article, we will walk through a Python-based machine learning project for Read More...

Diabetes is a chronic health condition affecting millions worldwide. Early prediction of diabetes can help in timely management and prevention of complications. In this article, we will walk through a Python-based machine learning project for Read More...

The first step in analyzing RNA sequencing is to perform quality assessment of the FASTQ files. This step ensures that the quality of the data is good and there no issues with contaminations such as Read More...

2024 Date: Tuesday, October 15, 2024 Time and Location: 11 am EST, ZOOM (INVITATION BY LMIG LIST SERVER) Speaker: Dr. Diego Presman (U Buenos Aires) Title: “Insights on Glucocorticoid Receptor Activity Through Live Cell Imaging” Summary: Eucaryotic transcription factors ( 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...

01/15/2026 - Gil Kanfer, PhD, of the NCI CCR High-Throughput Imaging Facility (HiTIF), in the Laboratory of Receptor Biology and Gene Expression (LRBGE) , will present the spatial biology analysis stack HiTIF is building to support Center Read More...

07/15/2025 - Single-cell technologies enable the discovery of many novel cell phenotypes, but this growing body of knowledge remains fragmented across the scientific literature. Natural language processing (NLP) offers a promising approach to extract this information Read More...

When using SingleR, the 3 primary parameters are the experimental dataset, the reference dataset, and the labels being used. Continuing with the main labels of the MouseRNASeq dataset on the full dataset looks like this: annot = Read More...

Let's use some functions. a. Use sum() to add the numbers from 1 to 10. {{Sdet}} Solution{{Esum}} sum ( 1 : 10 ) {{Edet}} b. Compute the base 10 logarithm of the elements in the following vector and save to an Read More...

Lesson 2 Exercise Questions: Base R syntax, objects, and data types Let's use some functions. a. Use sum() to add the numbers from 1 to 10. {{Sdet}} Solution{{Esum}} sum ( 1 : 10 ) {{Edet}} b. Compute the base 10 logarithm of Read More...

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...

Let's remember back to the design of the study we are examining ( Reconstitution of the gut microbiota of antibiotic-treated patients by autologous fecal microbiota transplant ). This study included a randomized controlled longitudinal trial involving 25 Read More...

Bray-Curtis dissimilarity quantitative Takes into consideration abundance and presence absence Jaccard - qualitative - presence / absence - percentage of taxa not found in both samples Weighted UniFrac quantitative similar to Bray-Curtis but takes into consideration Read More...

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...

10/13/2023 - Zhiyong Lu, Ph.D. will present AI in Medicine: Improving Access to Literature Data for Knowledge Discovery at the monthly Data Sharing and Reuse Seminar.  The explosion of biomedical big data and Read More...

A search may take place in nucleotide space, protein space or translated spaces where nucleotides are translated into proteins. Searches may implement search “strategies”: optimizations to a specific task. Different search strategies will produce different Read More...

We previously stored FASTQC results for the HBR and UHR raw sequencing data in the ~/biostar_class/hbr_uhr/QC directory (recall that ~ denotes home directory). So before getting started, change into this folder. cd ~/ Read More...

02/17/2023 - Dr. Brendan Miller is a post-doctoral research fellow at Johns Hopkins University in the Department of Biomedical Engineering. On Friday Feb 17, 1:00-2:00 PM, he will be discussing some tools he has recently helped develop Read More...

Let's use some functions. a. Use sum() to add the numbers from 1 to 10. {{Sdet}} Solution{{Esum}} sum ( 1 : 10 ) {{Edet}} b. Compute the base 10 logarithm of the elements in the following vector and save to an Read More...

Lesson 2 Exercise Questions: Base R syntax, objects, and data types Let's use some functions. a. Use sum() to add the numbers from 1 to 10. {{Sdet}} Solution{{Esum}} sum ( 1 : 10 ) {{Edet}} b. Compute the base 10 logarithm of Read More...

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...

01/19/2023 - The National Cancer Institute (NCI) has launched a new virtual seminar series titled NCI Rising Scholars: Cancer Research Seminar Series. This monthly seminar series is an opportunity to highlight the research and the important Read More...

09/27/2022 - Speaker: Neil L. Kelleher, Ph.D. Walter and Mary E. Glass Professor of Molecular Biosciences Professor of Chemistry in the Weinberg College of Arts and Sciences Professor of Medicine (Hematology & Oncology) in Read More...

06/22/2022 - Cancer origination and progression is a complex process that can be viewed as a somatic evolutionary progression with clonal cellular expansion(s) driven by accumulation of survival-/evasion-beneficial genomic mutations, alongside constantly changing selective Read More...

01/08/2021 - Abstract: Data sharing is essential for the acceleration of science, but privacy concerns need to be addressed before clinical data can be properly shared for research. I will briefly introduce the main issues in Read More...

06/03/2020 - The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, creates an urgent need for identifying molecular mechanisms that mediate viral entry, propagation, and tissue pathology. Single-cell analysis of healthy- and SARS-CoV-2-infected tissues offers Read More...

Q1. What is the value of each object? Run the code and print the values. mass <- 47.5 # mass? age <- 122 # age? mass <- mass * 2.0 # mass? age <- Read More...

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...

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...

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...

After mapping, the next step is to perform post-alignment QC to determine things like overall alignment rate (ie. how many sequences aligned to the reference). To do this, select the "Aligned" reads data 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...

1. Introduction and Learning Objectives This tutorial has been designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples that Read More...

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...

Lesson 6 . Learning Objectives Introduce several beta diversity metrics Discover different ordination methods Learn about statistical methods that are applicable Beta diversity Beta diversity is between sample diversity. This is useful for answering the question, how Read More...

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

Lesson 5: Microbial diversity, alpha rarefaction, alpha diversity Learning Objectives Understand the difference between alpha and beta diversity Introduce several alpha diversity metrics Understand what rarefaction is and why it is important Introduce the debate regarding 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...

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...

In lesson 9, we learned that reference genomes came in the form of FASTA files, which essentially store nucleotide sequences. In this lesson, we will learn about the FASTQ file, which is the file format that Read More...

Lesson 10: Introducing the FASTQ file and assessing sequencing data quality Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 9 Review In the previous lesson, we explored the reference genomes and Read More...

Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took place from September 13th, 2022 to December 13th, 2022. Question 1 : Normalization - when to Read More...

BTEP Bioinformatics for Beginners (September 13th, 2022 - December 13th, 2022) Questions and Answers Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took Read More...

Lesson 11: Merging FASTQ quality reports and data cleanup Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 10 Review In the previous lesson, we learned about the structure of the FASTQ Read More...

“Gene set enrichment analysis” refers to the process of discovering the common characteristics potentially present in a list of genes. When these characteristics are GO terms, the process is called “functional enrichment.” Warning Overall GO 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...

This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...

Lesson 1: Introduction to Biowulf, Unix, and R Learning Objectives Learn about why you may want to use R on Biowulf. Refresh Unix and R skills. This lesson will not be hands on. Why use R Read More...

/* Whole document: */ body{ font-family: Times; font-size: 16pt; } Stat Transformations: Bar plots, box plots, and histograms Objectives Review the grammar of graphics template Learn about the statistical transformations inherent to geoms Review data types Create bar Read More...

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...

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...

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