Search Results for: patient-derived ell culture

05/08/2024 - If you’re a researcher, clinician, informaticist, commercial partner, or policy maker interested in cancer  data science , register to attend this Cancer Data Exchange Summit. You’ll have Read More...

The primary objective of the Protein Technology Core (PTC) is to establish an experimental screening pipeline for single-domain antibodies termed nanobodies. Nanobodies are antibody fragments consisting of a single monomeric variable antibody domain. The PTC, Read More...

07/11/2024 - Please join us for this special event featuring three speakers on the topic of Single-Cell Spatial Transcriptomics. George Zaki, Ph.D., Director, Applied Scientific Computing, BACS, The Frederick National Lab for Cancer Research, NCI/ Read More...

Tasks to do at the Analysis Wizard: Provide an input gene list (either copy paste or upload as a text file) Specify the gene identifier type. Gene identifiers can be gene symbol, Ensembl IDs, Entrez Read More...

10/24/2024 - Recent advances in artificial intelligence (AI) have revolutionized the use of hematoxylin and eosin (H&E)-stained tumor slides for precision oncology, enabling data-driven approaches to predict molecular characteristics and therapeutic outcomes. In Read More...

05/02/2024 - The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. As such, the field of Read More...

Get the data Lesson 1 No data available. Lesson 2 No data available. Lesson 3 Lesson 3 covered data import and reshaping. Data unavailable through base R or other R packages, can be downloaded here . The survey / species data Read More...

Lesson 5 introduced the package dplyr and the functions select() , filter() , and arrange() . Data used in this lesson derived from the RNA-Seq experiment airway and can be downloaded here

Lesson 6 continued with dplyr , focusing on the functions mutate() , group_by() , and summarize() . Data used in this lesson derived from the RNA-Seq experiment airway and can be downloaded here

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.

All Unix commands have a man or "manual" page that describes how to use them. If you need help remembering how to use the command ls , you would type: man ls There are Read More...

The Department of Laboratory Medicine provides state-of-the-art laboratory testing in support of Clinical Center patient care and will serve as a center of excellence in research and training in laboratory medicine, particularly in areas which Read More...

The NIH Clinical Center Pharmacy Department provides pharmaceutical care to inpatients and outpatients on NIH intramural research protocols at the NIH Clinical Center. The Clinical Center facility encompasses 200 inpatient beds, 93 day-hospital stations, and 15 clinics. Clinical Read More...

Protein/Protein Interaction Database Through a license agreement with Elsevier, the CCR community has access to the largest Y2H data set available in the world (CCR Database of Antibodies and Protein Interactions, C-DAPI). This Read More...

The Behavioral Health Core (BHC) is comprised of the two separate but interrelated components: Psychosocial Support and Research Program, and, Health Psychology and Neurobehavioral Research Program., These teams provide specialized expertise, such as patient-reported and Read More...

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...

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...

04/08/2025 - Dive into the specialized use of mixed-effects models tailored to address the challenges of inter-reader variability in medical imaging studies. This presentation delves into how these models adeptly manage the random effects introduced by Read More...

04/02/2025 - Join Dr. Caroline Chung as she discusses the multifaceted process of integrating AI into healthcare, emphasizing the critical role of context at every stage. You will be equipped with insights and strategies for successful Read More...

03/26/2025 - Developing artificial intelligence (AI) schemes to assist the clinician towards enabling precision medicine approaches requires development of objective markers that are predictive of disease response to treatment or prognostic of longer-term patient survival. The Read More...

09/13/2024 - Reverse-phase protein arrays (RPPAs) represent a powerful functional proteomic approach to elucidate cancer-related molecular mechanisms and develop novel cancer therapies.   To facilitate community-based investigation of the large-scale protein expression data generated by Read More...

08/08/2024 - The Elemento lab combines Big Data analytics with experimentation to develop entirely new ways to help prevent, diagnose, understand, treat and ultimately cure disease. Our research involves routine use of ultrafast DNA sequencing, proteomics, Read More...

07/25/2024 - Join us for an informative webinar on the GARDE software where Dr. Del Fiol will describe how GARDE works, how GARDE has been implemented to support population-based genetic testing, the GARDE chatbot, and results Read More...

In addition to the Heatmap and the FeaturePlot shown previously, two other options easily accessible through Seurat are the Dot Plot and Violin Plot. The dot plot can visualize relative expression level and expression fraction. Read More...

05/23/2024 - During this virtual conversation of the Cancer Moonshot Seminar Series, Dr. Kai Tan, an investigator with the Human Tumor Atlas Network , and Liz Salmi, a co-investigator and patient advocate with the Participant Engagement and Read More...

05/06/2024 - Have you been looking for ways to use artificial intelligence (AI) in clinical practice but not sure where to start? Attend this webinar for tips from Dr. Anant Madabhushi on applying AI in precision Read More...

This course will use code and data from the QIIME2 Cancer Microbiome Intervention tutorial from the QIIME 2 website. The data used herein were published in Liao et al. 2021 and Taur et al. 2018 . In particular, Taur Read More...

12/11/2023 - This presentation will provide a one-hour introduction to The AMARETTO software toolbox: multimodal and multiscale circuit-, network-, and graph-based fusion of multi-omics, clinical, imaging, and perturbation data across studies of patients, etiologies and model Read More...

09/12/2023 - Dr. Burcu F. Darst is an assistant professor in the Public Health Sciences Division at the Fred Hutchinson Cancer Center. Her research is focused on identifying and understanding genetic and multi-omic risk factors of Read More...

Can we combine just the fold change columns in the alignment based and classification based differential analysis results to compare the two? Hint: first copy the results.csv file from the alignment based method in Read More...

To help us apply what we learned during the lesson, we are going to use DAVID to obtain some functional annotation information on upregulated genes in the HCC1395 dataset. Recall that the HCC1395 dataset is Read More...

The Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase Read More...

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...

The PET Department, CC, functions as a core facility that supports basic, translational, and clinical research using PET. It is a vertically integrated facility, with resources to produce positron-emitting radionuclides, manufacture PET radiopharmaceuticals in a Read More...

The Center of Cellular Engineering (CCE) is a comprehensive facility that develops and manufactures a wide range of cell and gene therapies for early phase clinical trials. The CCE is currently manufacturing chimeric antigen receptor ( Read More...

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...

[embed]https://youtu.be/yTl1Q0D7aZ0[/embed] 10x Genomics' supports multiple cancer research areas from single nucleotide and structural variant detection to single cell whole transcriptome gene expression analysis of thousands of individual Read More...

The Developmental Therapeutics Program (DTP) within NCI's Division of Cancer Treatment and Diagnostics (DCTD), has maintained a low temperature repository of transplantable in vivo-derived tumors and in vitro-established tumor cell lines from various species. This Read More...

CREx News & Updates March 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NIA Nonhuman Primate Core The NIA Nonhuman Primate Core supports multi-disciplinary translational aging projects for Read More...

The Center for Inherited Disease Research (CIDR)'s  mission is to support the genetics community by providing high-quality, cutting-edge genomics services and technologies in order to expand our understanding of disease and catalyze discoveries that Read More...

The Protein Expression Laboratory produces proteins to help CCR investigators achieve their research goals with the lowest possible cost in the shortest time. PEL is operated by Leidos Biomedical Research Inc. on behalf of NCI Read More...

The Stem Cell Unit (SCU) has established a database to which hESC lines, adult stem cells and induced pluripotent stem (iPS) cells may be directly compared. These data give scientists the information they need when Read More...

The Clinical Flow Cytometry Laboratory provides extensive support for NCI clinical protocols by providing diagnostic testing for leukemia and lymphoma in patients either on NCI clinical protocols or undergoing testing to determine eligibility for NCI Read More...

The Animal Diagnostic Laboratory (ADL) provides a full range of diagnostic capabilities, including microbiological cultures on various culture medium, microscopic screening for parasites such as mites and pinworms, molecular detection of pathogens, serological evaluation of Read More...

MAB provides visual communication solutions across all media to the entire NIH community. Our Medical Illustration section provides a complete range of biomedical visualization services, including manuscript/textbook figures, infographics, 3D modeling, animation, technical diagrams, Read More...

The NCI Clinical Research Correlatives Core provides non-CLIA-certified spectral flow cytometric assays to support clinical trials conducted in the CCR. The core specializes in immunophenotyping and immune monitoring assays. Established Technologies Spectral flow cytometry (Cytek), Read More...

Proteomic Data Common (PDC) represents the NCI’s largest public repository of proteogenomic comprehensive tumor datasets, essentially a Proteogenomic Cancer Atlas. It was developed to advance our understanding of how proteins help shape the risk, Read More...

Mass Spectrometry Section of the Collaborative Protein Technology Resource (Bldg. 37) Core Capabilities: Identification of proteins in complexes, organelles, subcellular fractions, or fluids. Global relative protein quantitation. Quantitation by isotopic labeling of cells in culture (SILAC) 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...

05/19/2025 - Immunotherapy has the potential to revolutionize the way we treat cancer, but a key challenge has been finding ways to tailor that therapy to the right patient at the right time. Attend this webinar, Read More...

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...

Congratulations, your experiments have been completed and you have a large amount of data. Now, it’s time to analyze these data. But where do you begin? How can you gain the most meaning from Read More...

In this tutorial, we are using data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . The raw count matrices are Read More...

In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...

In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...

Much like pseudobulk differential expression, the RNA expression can be collapsed into pre-defined components, such as the clusters, if it is believed that cell-to-cell variation is inducing too much confusion in the labeling. This collapsing Read More...

04/23/2024 - Dr. Stephanie Harmon obtained her Ph.D. in medical physics at the University of Wisconsin–Madison and did her postgraduate training at Leidos Biomedical Research where she worked within the Molecular Imaging Read More...

04/01/2024 - Embark on a journey of visionary insights! Join us for the launch of the NEI Informatics & Data-Driven Insights: Seminars & Dialogue Opportunities for Vision Health series, hosted by the National Eye Read More...

03/06/2024 - The National Institutes of Health (NIH) promotes the use of Common Data Elements (CDEs) to standardize data collection, sharing, and interoperability in health and disease research. In line with Congressional Appropriations language, the Office Read More...

03/01/2024 - Jens Rittscher is Professor of Engineering Science at the University of Oxford with his appointment held jointly between the Institute of Biomedical Engineering and the Nuffield Department of Medicine. He is a group leader Read More...

Quarto helps you tell others exactly what you did and how you derived your conclusions - code, results, and conclusions wrapped up in a single document. Advantages of Quarto compared with other publishing systems: Can Read More...

An OTU is an operational taxonomic unit. This is derived by binning sequences at a certain threshold of similarity. This threshold is generally set at 97%, which is associated with a species level assignment. Clustering can Read More...

Luckily, there is a q2-longitudinal plugin to handle dependent longitudinal data. The q2-longitudinal plugin includes: interactive plotting (e.g., volatility plots) linear mixed effects models paired differences and distances non-metric microbial interdependence testing ( Read More...

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...

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...

09/28/2023 - This is Lesson 4 of the Fall 2023 Introduction to Unix on Biowulf Series . Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...

09/27/2023 - 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...

09/21/2023 - This is Lesson 3 of the Fall 2023 Introduction to Unix on Biowulf Series . Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...

09/14/2023 - This is Lesson 2 of the Fall 2023 Introduction to Unix on Biowulf Series . Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...

09/13/2023 - FORGEdb is a web-based tool that can rapidly integrate data for individual genetic variants, providing information on associated regulatory elements, transcription factor (TF) binding sites and target genes for over 37 million variants.   Read More...

09/11/2023 - We invite you to attend the Biobanking for Precision Medicine seminar series. The seminar series is brought to you by NCI’s Biorepositories and Biospecimen Research Branch (BBRB) and addresses current topics Read More...

09/07/2023 - This is Lesson 1 of the Fall 2023 Introduction to Unix on Biowulf Series. Registering for this class will get you signed up for all four sessions in this course. Please make sure that you can Read More...

09/06/2023 - With the advancements in single cell and spatial profiling technologies and methods, some of us thought it would be helpful to re-establish a community of end users on campus. We invite those that are Read More...

The Human Brain Reference (HBR) RNA sequencing data are derived from RNA extracted from 23 human brains brains are from both males and females, age ranging from 60 to 80 years The Universal Human Reference data used RNA Read More...

The Human Brain Reference (HBR) RNA sequencing data are derived from RNA extracted from 23 human brains brains are from both males and females, age ranging from 60 to 80 years The Universal Human Reference data used RNA Read More...

Provides a gene-centric view which lists the genes and their associated annotation terms... -- DAVID help documents See https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717906/ for difference between pathway and network analysis DAVID Read More...

We were introduced to the hcc1395 RNA sequencing data in Lesson 12 practice session . This study compared the transcriptome of hcc1395 normal and cancer cell lines so it's a normal versus tumor comparison. This dataset Read More...

We are using the datasets below in the Qiagen IPA course. Human Brain Reference (HBR) and Univeral Human Reference (UHR) dataset Using this for the one hour lecture (from 1 - 2 pm) Find more information about Read More...

Lesson 16 Practice Objectives In this lesson, we learned about the classification based approach for RNA sequencing analysis. In this approach, we are aligning our raw sequencing reads to a reference transcriptome rather than a genome. Read More...

Database for Annotation, Visualization and Integrated Discovery (DAVID) - practicing what we learned Learning objectives In this practice session, we will practice using DAVID. Practicing what we learned To help us apply what we learned Read More...

This data set is from the Griffith lab RNA sequencing tutorial and are kept at http://genomedata.org/rnaseq-tutorial/practical.tar. This dataset is derived from a study that profiled the transcriptome of HCC1395 breast Read More...

Now that we have downloaded the HBR and UHR dataset and know where analysis tools are, let's start learning about RNA sequencing, by first learning about our reference genome and annotation files. Let's Read More...

Now that we have downloaded the HBR and UHR dataset and know where analysis tools are, let's start learning about RNA sequencing, by first learning about our reference genome and annotation files. Let's Read More...

First Unix command (ls) ls You may see something like this: public reads.tar sample.fasta sample.fastq The "ls" command "lists" the contents of the directory you are in. You Read More...

First Unix command (ls) ls You may see something like this: public reads.tar sample.fasta sample.fastq The "ls" command "lists" the contents of the directory you are in. You Read More...

Lesson 14 Practice Objectives Here, we will practice using the Integrative Genome Viewer (IGV) to visualize the hcc1395 RNA sequencing alignment results. About the data and launching IGV We were introduced to the hcc1395 RNA sequencing Read More...

First Unix command (ls) ls You may see something like this: public reads.tar sample.fasta sample.fastq The "ls" command "lists" the contents of the directory you are in. You Read More...

First Unix command (ls) ls You may see something like this: public reads.tar sample.fasta sample.fastq The "ls" command "lists" the contents of the directory you are in. You Read More...

Protein Expression Laboratory The Protein Expression Laboratory develops, improves, and delivers protein-centric services. Our goal is to help client investigators achieve their research goals with the lowest possible cost in the shortest time. All PEL Read More...

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...

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...

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

Back Services: Biophysics Facility offers Octet as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar.  Training includes a full analysis of a Read More...

The Clinical Support Laboratory offers processing, tracking, and testing of a broad range of clinical samples. Support can begin at the early stages of clinical trial development to aid in developing a comprehensive strategy for Read More...

The Pan-Microbial Serology Facility (PMSF) is part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The PMSF focuses on determining individualized pan-microbial immune profiles associated with human diseases including immunological Read More...

The Biopharmaceutical Development Program (BDP) provides resources for the development of investigational biological agents. The BDP supports feasibility through development and Phase I/II cGMP manufacturing plus regulatory documentation.The BDP was established in 1993. We Read More...

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 plots, box & whisker plots, and histograms. 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...

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...

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...

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...

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...

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...

Lesson 3: Creating a feature table Lesson Objectives Check for primers Generate an ASV count table and representative sequence file Understand the difference between OTU picking and denoising The two primary files that will be used Read More...

Lesson 2: Getting Started with QIIME2 Lesson Objectives Obtain sequence data and sample metadata Import data and metadata Discuss other useful QIIME2 features including view QIIME2, provenance tracking, and the QIIME2 forum. DNAnexus DNAnexus provides a Read More...

Let's now take a look at our final differential analysis results table (results_with_gene_names_labeled.txt), using the SLC2A11 gene as an example and below we use the column command to Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Let's use the tool Trimmomatic to clean up the adapters and the poor quality reads for SRR1553606. For help with Trimmomatic type trimmomatic --help at the command line. Before getting started with using trimmomatic, Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Why Learn Bioinformatics? Analyze your own data Expand scientific training and skills Provide a path to a new career Have a better understanding of how other people analyze data What is Unix? an operating system, Read More...

Lesson 12 Practice Objectives In this practice session, we will work with something new, which is a dataset from the Griffith lab RNA sequencing tutorial. Here, we will have a chance to practice what we have 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...

Lesson 2: Navigating file systems with Unix Quick review Unix is an operating system We use a unix shell (typically bash) to run many bioinformatics programs We need to learn unix to use non-GUI based tools Read More...

Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, Read More...

Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, Read More...

Database for Annotation, Visualization and Integrated Discovery (DAVID) - an overview Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 17 review In the previous class, we got an overview of Read More...

Prior to differential expression analysis, we need to generate a design.csv file that contains the samples and their corresponding treatment conditions. Note that csv stands for comma separated value so the columns in these Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learning objectives: 1. Understand what a sequence alignment is and how different algorithms can effect alignments. 2. Learn how scoring matrices and gap penalties (gap 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...

Lesson 15: Finding differentially expressed genes Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 14 review In the previous lesson, we learned to visualize RNA sequencing alignment results in the Integrative 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...

Lesson 16: RNA sequencing review and classification based analysis Before getting started, remember to be signed on to the DNAnexus GOLD environment. Review In the previous classes, we learned about the steps involved in RNA sequencing Read More...