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Course Catalog

Below are topic or subject areas taught by the NIH Library. Click the topic to see a list of upcoming classes or other related content. To view our full training catalog, visit the library training calendar. We are open to your feedback and suggestions related to our training program. Please suggest a class if you do not see it listed.

NIH Library classes are taught in-person in the NIH Library training rooms, Building 10, Clinical Center, near the South Entrance or virtually. In addition to classes, self-paced online tutorials are available through a variety of vendors and our library staff.

 

  • This class will show participants how to effectively search for nursing and allied health evidence-based information using PubMed and CINAHL databases. Class objectives: learn how to develop evidence-based search strategies using keywords and database subject headings; acquire tips to use limits in your search; and locate the full-text of articles identified in searches.

  • Learn about the powerful features and functions in Excel to organize and manipulate data you've captured in BTRIS. Excel gives you the flexibility to sort, search, view and manipulate discrete and text data. Using your own protocol data, attendees will walk through Excel features and functions so you can effectively work with data downloaded from BTRIS.

    Class Prerequisites:
    You must have an established BTRIS user account for access to identified data. These accounts are given to all Principal Investigators or with permission to their designees. If you do not have an account, please complete the BTRIS Access form.

    For additional information on these sessions, go to the BTRIS webpage.

    Training Category: BTRIS Classes
  • This training will provide an introduction to exome sequencing data analysis followed by tutorials showing the use of exome analysis workflow and preparing participants to independently run basic exome analysis for variant detection using a "point and click" approach on a public Galaxy platform. The hands-on exercise will run on a Galaxy platform using Illumina paired-end exome sequencing data.

    Participants will have a chance to: run quality control check on sequencing data; align the sequencing reads to a reference genome; generate alignment statistics and check mapping quality; identify variants; visualize the exome sequencing data and variants.

    Training Category: Bioinformatics Classes
  • This introductory class aims to give researchers an overview of the Cochrane Library. This session will cover when to incorporate this database into your workflow and how to use the variety of features it offers. Participants will become familiar with the Cochrane Collaboration, learn how to locate systematic reviews, protocols and clinical trials, and how to save and export data to other tools like reference management systems. Additionally, participants will become aware of the services the NIH Library provides in support of systematic reviews and how to obtain additional training on searching for complex projects. This class is for those looking to move beyond core databases and those who are working on systematic reviews or meta-analyses.

  • 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 and for variant calling. In this workshop students will explore the usage of CLC Genomics Workbench for taking raw NGS data and performing QC, processing, statistical analyses, and visualizations. The first part of the training will focus on the identifying differentially expressed genes from RNA-seq and how those results can be passed to Ingenuity Pathway Analysis (IPA) for biological interpretation. The second half of the training will provide insight into analysis of DNA-seq data for variant detection and will introduce how Ingenuity Variant Analysis (IVA) can be used to prioritize those variant findings.

    Training Category: Bioinformatics Classes
  • This one-hour webinar introduces researchers to Figshare, a generalist repository that has been supporting open access to research data for more than 10 years. Attendees will learn how to create an author profile, upload files, add high-quality metadata, and publish their research. In addition, this webinar will include tips for data sharing best practices and how to include Figshare in a data management plan. It will also introduce Figshare+, a newly launched repository for sharing large datasets over 100GB and up to many TBs. 

    Training Category: Data Services Classes
  • In this class, learn how BrowZine and LibKey will improve your research. This short session will cover how to: find top journals in your field of research in BrowZine; create a personal bookshelf to follow your favorite journals and stay current as new articles are published; connect to full text on any device and save articles for later in My Articles; use LibKey to instantly find articles while searching in PubMed and elsewhere.

  • Learn to use advanced Google search tips and how to connect Google Scholar to the NIH Library’s journal collection for full text article access.  Tips and tricks to finding credible clinical information quickly and efficiently will be demonstrated. This will be a hands-on training. Learning Objectives: collect search tips to Google more efficiently; become proficient in the use of the Advanced Search option; and learn how to connect the NIH Library’s collection with Google Scholar.

  • Publication analysis is a very useful tool that can provide valuable information. In this class, participants will gain an understanding of how to get publication data from RePORTER and Web of Science, as well as, skills to conduct a bibliometric analysis. Participants will also receive an introduction to InCites, a program that provides fast bibliometric results.

    Training Category: Bibliometrics Classes
  • The effective use of grammar and punctuation is essential in crafting compelling and concise research papers. This class provides a refresher of grammar and punctuation rules that are sure to help make your writing clearer. Participants will brush-up on common grammar issues including subject-verb agreement, verb tense, and use of articles. Participants will also gain knowledge about helpful writing and editing resources, as well as effective proofreading tips.

    Training Category: Writing and Editing Classes
  • Preprints are increasingly a popular means of information dissemination in research. This is seen currently with preprints being used as a key resource for COVID-19 information. However, not all preprints are of equal value nor appropriate for all projects. Participants will gain skills to identify the strengths and weaknesses of preprints and learn ways to search for preprints. This class will include the following objectives: explain what a preprint is and the role of preprints in research dissemination; assess the weakness and strengths of preprints as an information source; know the reasons to include or exclude preprint sources in a search; and identify and use preprint sources.

  • Gray literature is not controlled by commercial publishers and usually is not peer reviewed. However, gray literature can help identify useful information outside the published, peer reviewed articles through reports, dissertations, conference abstracts, official documents, research-in-progress, and clinical trials. It might get you information you would never find in traditional sources. This workshop will focus on how to find credible gray literature for your research topic or for part of a systematic review. Learning Objectives: learn how to identify and find gray literature; and learn how to cite gray literature in your proposal or manuscript.

  • Students will learn how to use the point-and-click interface in Partek Flow to go from raw data to experimental results for DNA-Seq and ChIP-Seq data analysis. For example: Import data from bam; Filter duplicates; SNV detection; Variant filter and annotation; Peak detection and annotation; Visualization (Chromosome view; Sankey plot; TSS plot). Benefits: Acquire working knowledge of tools available to NIH researchers for the start to finish DNA-Seq and ChIP-seq data analysis.

    Training Category: Bioinformatics Classes
  • Students will learn how to use the point-and-click interface in Partek Flow to go from raw data to experimental results for RNA-Seq analysis. For example: import data from .fastq files; perform QA/QC (Pre-alignment QA/QC, Post-alignment QA/QC); trim bases; align reads to reference genome; quantify gene/transcript abundance; normalize gene counts; detect differentially expressed genes; filter a gene list; identify enriched KEGG pathway and/or GO terms; visualization (heat maps; volcano plots; PCA scatterplot; dot plots; hierarchical clustering; chromosome view; and more). Benefits: Acquire working knowledge of tools available to NIH researchers for the start to finish RNA-Seq data analysis.

    Training Category: Bioinformatics Classes
  • Students will learn how to identify cell populations and detect differentially expressed genes in a simple Single Cell RNA-Seq experiment with the point-and-click interface in Partek Flow. For example: import data; filter cells using interactive QA/QC charts; filter and normalize Single Cell RNA-Seq data; visualize cell populations using the interactive 3D t-SNE plot; overlay gene expression and pathway signatures on the 3D t-SNE plot; select and classify cells on the 3D t-SNE plot; detect differentially expressed genes; filter a gene list; identify enriched KEGG pathway and/or GO terms; visualize cell-level results using heat maps, volcano plots, and violin plots. Benefits: Acquire working knowledge of tools available to NIH researchers for Single Cell RNA-Seq data analysis.

    Training Category: Bioinformatics Classes
  • This virtual hands-on workshop explores the fundamentals of machine learning using MATLAB. The participants will be introduced to machine learning techniques to quickly explore data, use classification and regression apps to interactively train, compare and tune a model, and optimize the model using hyperparameter tuning. The participants will also learn how to get started with deep learning in MATLAB for data preparation, design, simulation, and deployment of deep neural networks. This is an introductory level class.

    Training Category: Data Services Classes
  • This class is the first session in a two-part series of classes on the nuts and bolts of writing a research paper. Participants will gain knowledge about writing each section of a research paper and submitting a manuscript. Participants will also receive tips for selecting an appropriate journal for publishing and understanding open access obligations. This class is intended for individuals new to writing and publishing, or for those who would like a refresher.

    Training Category: Writing and Editing Classes
  • This class is the second session in a two-part series that aims to assist researchers in writing a research paper. This second session will cover the process after a manuscript has been submitted to a journal and best practices on responding to reviewer comments. Participants will become familiar with the peer review process and how to respond appropriately to a journal’s decision. Additional topics that will be discussed are open access requirements for manuscripts and data sharing. Throughout the class, best practices and suggestions to make the process easier will be shared. This class is great for those new to publishing or for those that need a refresher. Note: You must register for Part 1 separately.

    Training Category: Writing and Editing Classes
  • This class provides an overview on the nuts and bolts of writing a research paper. In Part 1, participants will gain knowledge about writing each section of a research paper and submitting a manuscript. Participants will also receive tips for selecting an appropriate journal for publishing and understanding open access obligations.

    Part 2 will cover the process after a manuscript has been submitted to a journal and best practices on responding to reviewer comments. Participants will become familiar with the peer review process and how to respond appropriately to a journal’s decision. Additional topics that will be discussed are open access requirements for manuscripts and data sharing.

    Throughout the class, best practices and suggestions to make the process easier will be shared. This class is great for those new to publishing or for those who need a refresher.

    Training Category: Writing and Editing Classes
  • Research abstracts are an important element of manuscript and poster presentations. In this session, participants will learn the key components of an abstract including its structure and tips to write them succinctly. This session is a short introduction appropriate for new authors or a refresher for experienced authors.

    Training Category: Writing and Editing Classes