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Bioinformatics
04/10/2025 - This one hour online training introduces participants to the tools and techniques for analyzing and quantifying microscopy images using MATLAB’s low-code algorithms. Participants will learn how to preprocess images, segment regions Read More...
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Bioinformatics
11/19/2021 - High-resolution, whole-brain microscopy provides unprecedented new insights into the brain’s structural organization, molecular diversity and connectivity. The Brain Image Library (BIL) provides infrastructure that facilitates the sharing of this valuable data, enabling investigators Read More...
Frederick, MD
Core Facility
OMAL focuses its research and development activities to quantitatively understand the molecular basis of three-dimensional (3D) cell organization, motility, invasion, and differentiation using fixed samples and live, 3D tissue culture models (i.e., translational models). 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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Electron Microscopy Laboratory (EML) The EML offers investigators access to unique expertise and EM technologies that allow our partners to explore new avenues of research to enhance the knowledge of biological systems. To assist our Read More...
Frederick, MD
Core Facility
The EML offers investigators access to unique expertise and EM technologies that allow CCR Investigators to explore new avenues of research in order to enhance the knowledge of biological systems. To assist our customers, we Read More...
Frederick, MD
Collaborative
CCR VOLUME Electron Microscopy (CVEM) aims to develop new techniques in volume electron microscopy (vEM) and, in collaboration with CCR Investigators, apply these techniques to research cell biological questions well-suited for study by high-resolution 3D Read More...
Bethesda, MARYLAND
Core Facility
The CCR Microscopy Core provides NCI investigators access to state-of-the-art imaging tools and techniques, including light sheet fluorescence, high-resolution confocal, multi-photon, and super-resolution microscopy. The mission of the CCR Microscopy Core Facility is to support Read More...
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Bioinformatics
01/28/2025 - This talk will cover how our group uses the resources of the FRCE cluster to process cryo-electron microscopy data collected in-house. This session is geared towards beginner users. This session will be recorded, and Read More...
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Bioinformatics
Unlike an atomic vector, a list can contain multiple elements of different types, (e.g., character vector, numeric vector, list, data frame, matrix).
Web Page
Bioinformatics
Unlike an atomic vector, a list can contain multiple elements of different types, (e.g., character vector, numeric vector, list, data frame, matrix). Lists are not the focus of this lesson, but you should be Read More...
Bethesda, MD
Collaborative
As a multi-user facility, the different instruments provide a wide range of imaging modes for EIB scientists, from standard immunohistochemistry, through brightfield and wide-field epifluorescence imaging, to highly complex live cell confocal microscopy and super-resolution Read More...
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.row { display: flex; justify-content: space-around; align-items: flex-start; margin: 20px; } .column { text-align: center; padding: 10px; width: 30%; } .column img { display: block; margin: 0 auto; width: 150px; height: 150px; } .column strong { display: block; margin-top: 10px; } Background: Intravital microscopy (IVM) Read More...
Bethesda, MD
Core Facility
LCMB Microscopy Core offers live cell imaging technologies as well as super-resolution, fluorescence lifetime and confocal imaging systems for immunofluorescence. Our confocal instruments are a Leica SP8 laser scanning confocal microscope and a Nikon spinning Read More...
Bethesda, MD
Core Facility
The core provides access to several different state-of-the-art 3D microscopes as well as computers to visualize and process image data. The facility houses equipment for 2D or 3D imaging of fixed and living specimens. High Read More...
Bethesda, MD
Core Facility
The LCBG Microscopy Core offers imaging technologies and training. The Core has established instrumentation for for 2D and 3D imaging of both fixed and living specimens.
Bethesda, MD
Trans NIH Facility
The facilities at AIM are available for use by the entire NIH intramural research community. While we welcome users with any size imaging project, AIM specializes in large, yearlong (or longer), collaborative research efforts with Read More...
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Bioinformatics
fun_mat column_to_rownames("sampleid") |> as.matrix(rownames.force=TRUE) fun_mat A B C D A1 0 352 400 278 B1 214 256 381 0 C1 0 0 250 169 Now, we can apply functions that require data matrices.
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Bioinformatics
::: {.cell} fun_mat column_to_rownames ( "sampleid" ) |> as.matrix ( rownames.force = TRUE ) fun_mat ::: {.cell-output .cell-output-stdout} A B C D A1 0 352 400 278 B1 214 256 381 0 C1 0 0 250 169 ::: ::: Now, we can apply functions that require data matrices.
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Bioinformatics
library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 ✔ tidyr 1.3.0 ## ✔ purrr 1.0.2 ## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── ## ✖ dplyr::filter() masks stats::filter() ## ✖ dplyr::lag() masks stats::lag() ## ℹ Use the conflicted package () to force Read More...
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Bioinformatics
01/10/2023 - Over the last two decades three major technologies have developed as the bed rock of how we understand living systems; genomics, including nucleic acid based molecular biology readouts, imaging from near-atomic resolution to whole Read More...
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Volume electron microscopy: A powerful, nanoscale-resolution, 3D imaging approach now available to the cell biologist Kedar Narayan, Ph.D., Senior Scientist & Group Leader, CCR Volume Electron Microscopy, Cancer Research Technology Program (CRTP), Frederick National Laboratory, Read More...
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Confocal
Stephen Lockett, Ph.D. Director, OMAL locketts@nih.gov 301-846-5515 Valentin Magidson, Ph.D. Scientist magidsonv@mail.nih.gov 301-846-6092 Will Heinz, Ph.D. Scientist heinzwf@nih.gov 301-846-1239 David Read More...
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Confocal
Training We recommend that users become familiar with the principals of fluorescence labeling and optical microscopy before arranging for training. We recommend the following sites for learning about microscopy: Introductions to Fluorescence Microscopy Fluorescence Labeling Read More...
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Confocal
ZEISS Elyra 7 with Lattice SIM² Type: Wide-field structured illumination microscope Capabilities: Super resolution 2D and 3D imaging of live or fixed cells Apotome SIM: 170 nm lateral, 450 nm axial Apotome SIM2: 140 nm lateral, 300 nm axial Lattice Read More...
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Bioinformatics
The computational chemistry and protein modeling team in the Advanced Biomedical Computational Science (ABCS) group provides novel solutions in structural modeling and computational chemistry. Computational scientists in the group collaborate with NCI researchers by using Read More...
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Bioinformatics
05/29/2025 - Prostate cancer exhibits significant intratumoral heterogeneity, driving a spectrum of phenotypes ranging from indolent disease to aggressive metastasis, challenging risk stratification and treatment. A key feature of this heterogeneity is clonal diversity, encompassing both 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
To begin plotting, let's load our tidyverse library. #load libraries library(tidyverse) # Tidyverse automatically loads ggplot2 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 ✔ tidyr 1.3.0 ## ✔ purrr 1.0.2 ## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── ## ✖ dplyr:: Read More...
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Bioinformatics
01/03/2024 - on Wednesday, January 3rd at noon in Building 41, Conference Room C507/C509 and online. In-person attendance is encouraged. Dr. Larson's research is focused on understanding gene expression in eukaryotic Read More...
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Bioinformatics
We do not need to load the dplyr package separately, as it is a core tidyverse package. If you need to install and load only dplyr , use install.packages("dplyr") and library(dplyr) . Read More...
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Bioinformatics
In this lesson, we are continuing with the package dplyr . We do not need to load the dplyr package separately, as it is a core tidyverse package. Again, if you need to install and load Read More...
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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
04/05/2021 - Dear colleagues, We'll be hosting a special guest lecture by Prof. John Moult from UMD. Abstract: Computing the three-dimensional structure of a protein molecule from its amino acid sequence is a long-standing grand Read More...
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Bioinformatics
03/15/2021 - Abstract: Cancer represents an evolutionary process through which growing malignant populations genetically diversify, leading to tumour progression, relapse and resistance to therapy. In addition to genetic diversity, the cell-to-cell variation that fuels evolutionary selection Read More...
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Bioinformatics
This lesson will use some functions from the tidyverse. library(tidyverse) ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ✔ dplyr 1.1.4 ✔ readr 2.1.5 ✔ forcats 1.0.0 ✔ stringr 1.5.1 ✔ ggplot2 3.5.2 ✔ tibble 3.2.1 ✔ lubridate 1.9.4 ✔ tidyr 1.3.1 ✔ purrr 1.0.4 ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── ✖ dplyr::filter() masks stats::filter() ✖ dplyr::lag() Read More...
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Bioinformatics
We will use core packages from the tidyverse for our data wrangling needs. Data reshaping primarily involves the tidyverse package, tidyr, but we will use additional packages as well, such as tibble. Packages must be Read More...
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Bioinformatics
We do not need to load the dplyr package separately, as it is a core tidyverse package. If you need to install and load only dplyr, use install.packages("dplyr") and library(dplyr). Read More...
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Bioinformatics
In this lesson, we are continuing with the package dplyr. We do not need to load the dplyr package separately, as it is a core tidyverse package. Again, if you need to install and load Read More...
Web Page
Bioinformatics
In this lesson, we are continuing with the package dplyr. We do not need to load the dplyr package separately, as it is a core tidyverse package. Again, if you need to install and load Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Extramural Common Fund Resources Metabolomics Workbench Developed by the NIH Metabolomics Common Fund's National Metabolomics Data Repository ( Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural CryoEM (NICE) Consortium NICE provides NCI, NIAID, NIEHS, NICHD, NIDCR, NEI, and NIA investigators with Read More...
Bethesda, MD
Trans NIH Facility
NIH Intramural CryoEM Consortium (NICE) serves intramural investigators in all NIH IC’s. NICE provides access to state-of-the-art Titan Krios cryo-electron microscopes for atomic-resolution structure determination of protein, macromolecular complexes, membrane receptors, cellular organelles, and Read More...
Bethesda, MD
Trans NIH Facility
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...
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Back Services: This instrument is not user accessible. We provide both data collection and data analysis services. Location: Building 50, room 3331 Description: An analytical ultracentrifuge is equipped with absorption and interference optical systems that monitor Read More...
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October 6, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NIH Center For Human Immunology, Inflammation, And Autoimmunity (CHI) CHI is a Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx Program Manager The CREx Team is happy to announce Deepika Velampati as the new CREx Program Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural Core Resources NHGRI Flow Cytometry Core The Core performs high quality single cell analysis through the 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. We would greatly appreciate Read More...
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Many established and emerging technologies are available to CCR scientists. This technology-rich environment makes the CCR a unique place to conduct scientific research. Through the OSTR, the CCR continues to find Read More...
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Confocal
2024 Coutinho, L. L., Femino, E. L., Gonzalez, A. L., Moffat, R. L., Heinz, W. F., Cheng, R. Y. S., Lockett, S. J., Rangel, M. C., Ridnour, L. A. & Wink, D. A. NOS2 and Read More...
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Bioinformatics
Learning Objectives Learn about data structures including factors, lists, data frames, and matrices. Load, explore, and access data in a tabular format (data frames) Learn to write out (export) data from the R environment Data Read More...
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Bioinformatics
Another important data structure in R is the data matrix. Data frames and data matrices are similar in that both are tabular in nature and are defined by dimensions (i.e., rows (m) and columns ( Read More...
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Bioinformatics
Notice that "sample" was treated as numeric, rather than as a character vector. If we intend to work with this column, we will need to convert it or coerce it to a character Read More...
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Bioinformatics
ggplot2 is an R graphics package from the tidyverse collection. It allows the user to create informative plots quickly by using a 'grammar of graphics' implementation, which is described as "a coherent system for Read More...
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Bioinformatics
To explore tidyverse functionality, let's read in some data and take a look. #let's use our differential expression results dexp "ENSG00000000003", "ENSG00000000419", "ENSG00000000457", "E… $ albut untrt, Read More...
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Bioinformatics
Load in a tab delimited file (file_path= "./data/WebexSession_report.txt") using read_delim() . You will need to troubleshoot the error message and modify the function arguments as needed. {{Sdet}} Solution } library ( Read More...
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Bioinformatics
Another important data structure in R is the data matrix. Data frames and data matrices are similar in that both are tabular in nature and are defined by dimensions (ie. rows (m) and columns (n), Read More...
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Bioinformatics
Notice that "sample" was treated as numeric, rather than as a character vector. If we intend to work with this column, we will need to convert it or coerce it to a character Read More...
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Bioinformatics
10/14/2022 - The call for better data and evidence for decision-making has become very real as evidenced by the Federal Data Strategy, as well as the passage of both the Foundations of Evidence-based Policymaking Act (Evidence Read More...
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Bioinformatics
06/04/2021 - Speaker: Rangan Sreenivas Sukumar Distinguished Technologist Hewlett Packard Enterprise (HPE) Abstract: In March of 2020, the “Force for Good” pledge of intellectual property to fight COVID-19 brought into action HPE products, resources and expertise to Read More...
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Bioinformatics
04/12/2021 - Tumor heterogeneity and plasticity provide a driving force for tumor progression and metastasis as well as treatment response. Tumor heterogeneity can be explained by the same mechanisms that govern the developmental programs of an Read More...
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Bioinformatics
Q4. Load in a tab delimited file (file_path= "./data/WebexSession_report.txt") using read_delim(). You will need to troubleshoot the error message and modify the function arguments as needed. Q4: Solution Read More...
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Bioinformatics
Let's pretend that the sample IDs were numeric rather than of type character. smeta$SampleID <- c(1:nrow(smeta)) smeta SampleName cell dex albut Run avgLength Experiment Sample 1 GSM1275862 N61311 untrt untrt Read More...
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Bioinformatics
Q1. Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and do not contain spaces. Read More...
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Bioinformatics
Sometimes you don't want git to track certain files (e.g. backup files created by your text editor, large data files, intermediate analysis files). This can be achieved using a special configuration file .gitignore Read More...
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September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight Trans-NIH Intramural Sequencing Center (NISC) NISC is a multi-disciplinary genomics facility that Read More...
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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...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx Interested in imaging large scale biological samples? Volume electron microscopy allows for Read More...
Bethesda, MD
Collaborative
The NCI High-Throughput Imaging Facility (HiTIF) works in a collaborative fashion with NCI/NIH Investigators by providing them with the necessary expertise, instrumentation, and software to develop and execute advanced High-Throughput Imaging (HTI) assays. These Read More...
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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...
Bethesda, MD
Trans NIH Facility
The Pathology Service, Division of Veterinary Resources (DVR), Office of Research Services (ORS), provides diagnostic gross and histopathologic evaluation of any species of laboratory animals used in the NIH Intramural Research Program due to morbidity, Read More...
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CREx News & Updates July 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Spotlight The NIH Lab Managers Working Group have developed a new NIH-wide database of cold 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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[tabby title="Home"] About NICE-NIH Intramural CryoEM Consortium NIH Intramural CryoEM Consortium (NICE) serves intramural investigators in all NIH IC’s. NICE provides access to state-of-the-art Titan Krios cryo-electron microscopes for atomic-resolution structure determination of Read More...
Bethesda, MD
Core Facility
The NHLBI Murine Phenotyping Core carries out physiologic and behavioral testing in a diversity of mouse models for NHLBI and other NIH institutes. Established Technologies: Cardiovascular Phenotyping, Metabolic Phenotyping, Pulmonary Phenotyping, Behavioral Phenotyping, Exercise Physiology, Read More...
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CREx News & Updates January 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NCI ANTIBODY CHARACTERIZATION LABORATORY (ACL) The ACL specializes in rigorously validating antibodies for signaling and Read More...
Bethesda, MD
Trans NIH Facility
The NIH MRI Research Facility (NMRF) is a shared, intramural resource for human imaging studies. The NMRF is supported by all Institutes at NIH and reports to the Shared Resources Subcommittee (SRS) of the Scientific Read More...
Bethesda, MD
Trans NIH Facility
In support of Intramural Research Program (IRP) scientists, DOHS provides training, consulting, and resources to ensure that workers' risk to hazards and stresses in the laboratory environment is minimized. Our services include one-on-one consultation with Read More...
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October 6, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...
Frederick, MD
Core Facility
The FNLCR Molecular Histopathology Laboratory (MHL) provides comprehensive veterinary pathology support for animal health monitoring, biomarker discovery and validation, drug development, genomics, and proteomics on a cost recovered basis. The MHL is organized into multiple Read More...
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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...
Frederick, MD
Core Facility
The function of the SAIP is to collaborate with NCI investigators in the development of mouse models, new molecular imaging probes for early detection and therapy, monitor tumors in vivo, and perform drug efficacy studies Read More...
Bethesda, MD
Trans NIH Facility
The Division of Veterinary Resources Animal Surgery has supported large animal research and clinical care for more than 40 years. DVR surgeons provide outstanding and highly specialized large animal (rabbits, ungulates, etc.) research support in a Read More...
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Supplemental Technology Award Review System (STARS) Overview STARS Request Form STARS System The Supplemental Technology Award Review System (STARS) is a web-based interface for submission and review of S&S supplement requests by CCR Read More...
Rockville, MD
Trans NIH Facility
The Chemistry and Synthesis Center (CSC) of the National Heart, Lung, and Blood Institute (NHLBI) provides IRP scientists with targeted imaging probes and chemical tools that help accelerate cell-based assays, in vivo imaging studies, and Read More...
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Bioinformatics
Data frames Objectives To be able to load, explore, and access data in a tabular format. To this end, students should understand the following: 1. how to import and export data 2. how to create, summarize, and 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
In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to 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...
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Bioinformatics
In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to Read More...
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Bioinformatics
This lesson will introduce data wrangling with R. Attendees will learn to filter data using base R and tidyverse (dplyr) functionality. Learning Objectives Understand the concept of tidy data. Become familiar with the tidyverse packages. Read More...
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Bioinformatics
All solutions should use the pipe. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc . Create a subset data frame from sc that only includes the columns Read More...
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Bioinformatics
Help Session Lesson 5 All solutions should use the pipe. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc . Create a subset data frame from sc that only Read More...
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Bioinformatics
Help Session Lesson 3 Loading data Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and Read More...
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Bioinformatics
dplyr : joining, tranforming, and summarizing data frames Objectives Today we will continue to wrangle data using the tidyverse package, dplyr . We will learn: how to join data frames using dplyr how to transform and create Read More...
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Bioinformatics
Introduction to dplyr and the %>% Objectives Today we will begin to wrangle data using the tidyverse package, dplyr . To this end, you will learn: how to filter data frames using dplyr how to employ Read More...
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Bioinformatics
Data import and reshape Objectives 1. Learn to import multiple data types 2. Data reshape with tidyr : pivot_longer() , pivot_wider() , separate() , and unite() Installing and loading packages So far we have only worked with objects that Read More...
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Bioinformatics
Tidy data implies that we have one observation per row and one variable per column. This generally means data is in a long format. However, whether data is tidy or not will depend on what Read More...
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Bioinformatics
Introduction to Data Wrangling with the Tidyverse Objectives Wrangle data using tidyverse functionality (i.e., dplyr ). To this end, you should understand: 1. how to use common dplyr functions (e.g., select() , group_by() , arrange() , mutate() , Read More...
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Bioinformatics
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...
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Bioinformatics
We will continue with penguins for this exercise. Questions and solutions (Q1-Q3) were taken from https://allisonhorst.shinyapps.io/dplyr-learnr/#section-dplyrgroup_by-summarize. First, let's convert penguins to a tibble. penguins <- Read More...
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Bioinformatics
All solutions use the pipe. Solutions have multiple possibilities. Q1. Import the file "./data/filtlowabund_scaledcounts_airways.txt" and save to an object named sc. Create a data frame from sc that only Read More...