Getting to Know HSLS

Welcome to a new academic year! HSLS offers a wide array of research and information services, educational opportunities, and resources to support the health sciences.

Liaison Librarians are integrated into schools and departments and collaborate with faculty to support instruction, research, and scholarship. They provide instruction as part of the curriculum, guest lectures, and customized orientation sessions; offer recommendations for embedding streaming media and other HSLS resources into course syllabi; collaborate on research projects; provide assistance with researching health and biomedical topics; and offer guidance with scholarly publishing. All new and returning faculty are encouraged to arrange a consultation with your liaison librarian to learn how HSLS can support your teaching and research.

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Search the Contents of Biomedical Books with E-Book Full Text Search

While there are many ways to search for the title of an e-book, it’s much more difficult to search through the contents. HSLS has developed an innovative tool for the full-text searching of over 1,000 health and biomedical science e-books simultaneously. It’s called E-Book Full Text search. With a single, simple search, you can pull results from a variety of e-books.

Searching is easy! To access E-Book Full Text search, direct your browser to the HSLS home page. Near the top of the screen, in the dark blue box, click on the E-Book Full Text button.


Enter a “Google-style” query into the search box, click on the search icon, and then wait a few seconds.


The results will point directly to relevant sections of each book’s full text. Along the left side of the screen, results are also grouped into categories that enable more precise retrieval without reformulation of the search.

Popular biomedical e-books available in E-Book Full Text search include:

  • Clinical Anesthesia, 8th edition
  • Current Surgical Therapy, 12th edition
  • Epidemiology, 5th edition (Gordis)
  • Guide to Evidence-Based Physical Therapist Practice, 4th edition
  • Guyton and Hall Textbook of Medical Physiology, 13th edition
  • How to Write, Publish, & Present in the Health Sciences
  • IM Essentials
  • Introductory Textbook of Psychiatry, 6th edition
  • Miller’s Anesthesia, 8th edition
  • Nursing Concept Care Maps for Providing Safe Patient Care
  • Pharmacotherapy Casebook: A Patient-Focused Approach, 10th edition

E-Book Full Text search allows users to search a large collection of e-books simultaneously across providers and at a full-text level. The simple interface and ability to search across multiple resources at one time makes E-Book Full Text search appealing.

For further information or questions about E-Book Full Text search, send an e-mail to medlibq@pitt.edu or call 412-648-8866.

~Jill Foust

Single-Cell Transcriptomics Training @ HSLS

On July 10, the HSLS Molecular Biology Information Service (HSLS-MBIS), in partnership with the Genomics Research Core (GRC) and the Center for Research Computing (CRC), offered a day-long workshop on single-cell transcriptomics research. Single-cell transcriptomics is a next-generation sequencing methodology that simultaneously measures, in individual cells and in high resolution, the messenger RNA concentrations of thousands of genes. The ultimate goal is to better understand individual cell functions, even in mixed cell populations.

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Classes for September 2019

Reporting Guidelines: Transparent Writing Equals Better Results

Introduction to Data Management

ChlP-Seq & CLC Genomics, Wednesday, September 11, 10 a.m.-3 p.m.

Painless PubMed

Basic EndNote

Journal Matchmakers: Deciding Where to Publish

Advanced EndNote

Getting Systematic About Systematic Reviews

Electronic Research Notebooks: Introduction to LabArchives

Are You Using Retracted Information?

From Protocol to Publication: Selecting the Right Reporting Guideline for Your Paper, Study, or Article

Pathway Enrichment Analysis—IPA & MetaCore, Wednesday, September 25, 10 a.m.-3 p.m.

Painless PubMed

Beyond Beginner Workshop: Getting Going with Pandas in Python


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