Department Website:

https://www.juniata.edu/academics/graduate-programs/bioinformatics.php

Faculty:

Background Information:

 

Special programs, facilities, or equipment:

Programs of Emphasis:

Individualized Programs of Emphasis:

Secondary Emphasis:

Internship/Research Experiences:

Courses:

BIN-400   Bioinformatics Fundamentals (4.00 Credits; N,CTGES)

BIN-500   Bioinformatics Fundamentals (Fall & Spring; All Years; 4.00 Credits; N) Bioinformatics is the science of collecting and analyzing complex biological data. It is an interdisciplinary field that develops and applies methods and software tools for understanding biological data. PRE-REQ: BI-105, BI-106, BI-121, BI-122, CH-142, CH-143, CH-242, CH-243

BIN-516   Molecular and Cellular Biology (Either Semester; Yearly; 4.00 Credits) A comprehensive approach to the study of cells, with emphasis on molecular techniques and understanding the primary literature. Analysis of the cell at the molecular level emphasizes a unity in the principles by which cells function. PRE-REQ: BS degree in molecular biology, biochemistry or the permission of the instructor.

BIN-580   Advanced Research Methods (Variable; Yearly; 4.00 Credits) This class will provide training in advanced modern molecular wet lab, statistical and/or informatics tools. Bioinformatics skills will be related to assembly, annotation, variant characterization, and/or comparison of eukaryotic genomes and populations. Statistical analyses will be performed in R. Molecular tools may include DNA and RNA isolation, electrophoresis, restriction digests, DNA isolation from gels, PCR, sequencing, next generation sequencing and equipment maintenance. Core bioinformatics learning objectives will receive special attention. General skills include training students in the process and procedures of conducting meaningful and responsible research in Biology, including: deriving research objectives, experimental design, problem solving skills, responsible conduct.

BIN-600   Environmental Genomics (Variable; Yearly; 4.00 Credits; N) This course will utilize Microbial Community Analysis leveraging high-throughput sequencing technology to identify the microbes present in naturally occurring our man-made ecosystems. Students will learn both molecular and bioinformatics skill sets, as well as microbial ecology principles throughout this course.