Bioinformatics

ABOUT US

Bioinformatics is a highly interdisciplinary STEM field that integrates computational and statistical methods for analyzing large biological data sets. Bioinformaticians apply their biological and computational sciences backgrounds to develop, utilize, and optimize new computational tools to organize, synthesize, and analyze the rapidly increasing amount of biological and biomedical data.

The Bioinformatics Program includes Loyola faculty from the Departments of Biology, Chemistry, Computer Science, and Mathematics and Statistics. While these faculty have a vast area of research interests, all require interdisciplinary approaches.

The Bioinformatics Program at Loyola is part of the College of Arts and Sciences. The program provides students with unique preparation for professional careers by offering both integrated and project-based learning with courses that feature the latest developments in the field.

BIOI 400 Programming Biology (1 Credit Hour)

This is a 6-week course introduction to scripting programming languages within the framework of biological data analysis. Graduate-level standing required. Students will learn foundational methods and algorithms for analysis of biological data.

BIOI 494 Bioinformatics Research Design (1 Credit Hour)

Course Restricted to Bioinformatics MS students Research practices, including data collection and management, the experimental design process, and tools for critical analysis and preparation of scientific literature will be discussed.

Students can describe and implement experimental design practices in bioinformatics

Outcomes

Students can describe and implement experimental design practices in bioinformatics

BIOI 495 Special Topics in Bioinformatics (1-12 Credit Hours)

The field of bioinformatics is ever evolving. As new technologies develop, demand arises for new methods and tools. Courses will focus on emerging trends in bioinformatics. Restricted to Bioinformatics Graduate Students. Student will learn about emerging topics in the field.

BIOI 498 Bioinformatics Internship (1 Credit Hour)

Pre-requisites: BIOI 500

An opportunity to obtain experience, knowledge, and skills in bioinformatics within a professional setting and thus expand the depth and breadth of the student's learning. Limited to MS Bioinformatics Non-Thesis track students only.

Students can apply foundational principles in bioinformatics into practice

Outcomes

Students can apply foundational principles in bioinformatics into practice

BIOI 499 Bioinformatics Research (1-12 Credit Hours)

Pre-requisites: Prerequisite: BIOI 494

Students will conduct independent hypothesis-driven bioinformatics research under faculty guidance. Research efforts will include literature surveys, experimental design, algorithm and software development, and data analysis. Limited to MS Bioinformatics Thesis track students only.

Students can develop and utilize techniques for bioinformatics research

Outcomes

Students can develop and utilize techniques for bioinformatics research

BIOI 500 Advanced Bioinformatics (3 Credit Hours)

Pre-requisites: BIOL 388 or BIOL 488

Students will study fundamental bioinformatics algorithms and emerging software tools in the field. The course will include the study of primary literature and design and implementation of bioinformatics algorithms.

Course equivalencies: X- BIOI 500 /BIOL 450

Students can describe, design, implement, and evaluate bioinformatics algorithms

Outcomes

Students can describe, design, implement, and evaluate bioinformatics algorithms

BIOI 501 Bioinformatics Seminar (1-2 Credit Hours)

Pre-requisites: BIOL 388 or BIOL 488

The seminar will introduce students to current topics in bioinformatics through presentations given by leaders in bioinformatics research. This course will also include more formal training in scientific presentation skills.

Course equivalencies: X-BIOI501/BIOL451

Students can summarize, critique, and present bioinformatics research

Outcomes

Students can summarize, critique, and present bioinformatics research

BIOI 565 Exploring Proteins (3 Credit Hours)

Pre-requisites: Biochemistry, restricted to Bioinformatics Graduate Students

Proteins are polymer chains of amino acids that fold into compact states that differ in structure, size, shape, and dynamics. Computational tools are essential for the prediction of protein structures, protein interactions, and structure-based drug design.

Students will learn the concepts of building blocks of protein structure, and protein folding

Outcomes

Students will learn the concepts of building blocks of protein structure, and protein folding

BIOI 595 Thesis Supervision (1 Credit Hour)

Pre-requisites: BIOI 499

Laboratory research under faculty guidance including training in scientific writing and the production of a thesis and research presentation.

Students will develop skills in scientific writing and presentation; At the conclusion, students will present (written and oral) the results of their research

Outcomes

Students will develop skills in scientific writing and presentation; At the conclusion, students will present (written and oral) the results of their research

BIOI 605 Master's Study (0 Credit Hours)

This course provides FT status for a student who needs to meet the continuous enrollment requirement of the Graduate School while completing program requirements.

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Bioinformatics

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