Bioinformatics Seminar


Evolving Syllabus


Course Description

Students and faculty will develop and share professional interests while discussing current trends and developments in bioinformatics and biotechnology. Students will develop and then assess literature reviews.


Prerequisites


Logistics

Meeting Location:WAL-4600 (Library)
Meeting Time:MWF 12-12:50pm
Credits3

Contact Information

Instructor:Michael Osier
Office:08-1338
Instructor ScheduleSchedule
Email: mvoscl@rit.edu

Topics and Readings

Under certain circumstances, the instructor may have to alter course requirements, assignment deadlines, and grading procedures; and the university may have to alter the academic calendar.

Lecture topics are in green, paper presentation slots are in blue, and discussion slots are in purple.

Week Topic Slot A Slot B Slot C
Week 1 - Aug 28 Introduction and Background Course Introduction/Organization Sample review - Reading Beta Schedule readings presentations
Week 2 - Sept 4 Article anatomy No class Monday Structure of a scientific article - Kesel et al. Background/Introduction
Week 3 - Sept 11 More anatomy Results Discussion Materials/Methods
Week 4 - Sept 18 Dissection Abstract Readings A - Sample research papers Readings B - Sample review articles
Week 5 - Sept 25 Genomics Readings C - Short-read sequencing Readings D - Long-read sequencing Readings E - Assembly/Alignment
Week 6 - Oct 2 Transcriptomics Readings F - Genomics/transcriptomics/proteomics Readings G - RNA Seq Readings H - Single cell sequencing
Week 7 - Oct 9 Literature review No class Monday Literature background checks Half-time, team formation and brainstorm
Week 8 - Oct 16 Treatment development - Covid vaccines Readings I - Phase 1 and 2 trials, Team topics due Readings J - Phase 3 and 4 trials Readings K - Covid vaccine trials
Week 9 - Oct 23 Renewable energy Readings L - Ethanol production Readings M - Rapid crop growth Readings N - Algal engineering
Week 10 - Oct 30 Proposal development Faculty team review Deeper background literature searches Faculty team review
Week 11 - Nov 6 Agricultural biotechnology Readings O - Drought tolerance Readings P - Salt tolerant rice Readings Q - Pest resistance - Online
Week 12 - Nov 13 Peer evaluations Peer evaluations - reviews due Sunday at the end of this week at midnight
Week 13 - Nov 20 Revision Online activity - Faculty breakout to discuss peer evaluations Thanksgiving break
Week 14 - Nov 27 Revision Team revision breakout discussions Literature review cleanup - revisions due Friday at midnight Current challenges in biology
Week 15 - Dec 4 Peer re-evaluations Peer re-evaluations - reviews due Friday at midnight Current challenges in bioinfo and comp bio
Week 16 - Dec 11 Closure Course discussion Exam period - wrap-up, final reviews due


Grading

Paper presentations30%
Literature reviews Literature searches8%
Article draft5%
Peer evaluations7%
Article revisions6%
Faculty team reviews5%
Peer re-evaluations7%
Final articles12%
Participation20%
Total100%

Grade scale

A[95-100] B+[86.7-90) C+[76.7-80)
B[83.4-86.7) C[73.4-76.7) D[60-70) F<60
A-[90-95) B-[80-83.4) C-[70-73.4)

Paper Presentations and Discussion: Grades will be in-part based on presentations to the class and participation in discussions of the presentations. All discussion sessions will be divided evenly among students during the final lecture of the first week of the semester. If you cannot make the class in which they are assigned, please inform the instructor as soon as possible.

Students are required to speak with the instructor well before their presentation. This is intended to help you give the best possible presentation. Appointments must be at least one week in advance of the presentation date to give you sufficient time. Failure to meet with the instructor at least a week in advance to discuss a paper will result in a 50% grade reduction for that presentation. Note that presentations are not necessarily in order by reading letter! Please pay attention to which week your presentations are.

Individual presentations will be evaluated by the class using a standardized scoring sheet. The final grade for that presentation will be determined by the instructor based on these evaluations and his own. Presentations are expected to cover the major points of the paper, as discussed with the instructor during the required meeting. Overlap with previous presentations, for the topic and for the student, should also be minimized.

Participation grades will be determined through a combination of attending class on time and for the full session, filling out scoring sheets for presentations, and instructor assessment of student engagement.


Literature reviews:

During the course, students will form teams to develop their own literature reviews of a relevant topic of interest and evaluate the reviews of other teams. Evaluations will be done by rubrics. Each literature review will go through a development process, with faculty guidance, and individual components to the final grade.

The final literature review should be 15-20 pages long, double-spaced. Citations will not count for or against the page limit. Excessive quotes and figures/tables are strongly discouraged.


Reading List

Note that articles marked "[online]" are available from myCourses under Content.


Links


Plagiarism/cheating policy

For the first offense, anyone caught plagiarizing or otherwise cheating will receive a 0 (zero) on the assignment/exam, and be referred to the Head of the School of Life Sciences. In the event of a second offense, the student will receive an "F" for the course. If you have any questions about whether or not something constitutes plagiarism and/or cheating, please ask the instructor in advance. Duplicate submissions will also receive a grade of 0 (zero) for the first incident. In the case of especially egregious offenses, the instructor reserves the right to assign a grade of "F" for the course, as per RIT policy.

You are encouraged to work with each other in person and through discussion groups, but must in the end write your own work. Sufficient evidence of cheating on a workshop or homework will be treated the same as for plagiarism or cheating in any other part of the course. The assignments will be automatically checked for cheating.

Also be aware that for this course the use of AI will be cheating. Note that AI is faulty, and can give incorrect answers. So using AI doubles your risk. It also reduces your practice of the course material, which will set you behind for later assignments and other courses.


Copyright notice

The legal use of distributed material is strictly limited to course activities, and not activity outside the course. The use of copyright protected material outside of this RIT course may be prohibited by law.


Recording policy

Unless written permission is granted by the faculty member, or a specific accommodation has been approved by the Disability Services Office, students are prohibited from recording lectures or presentations.


Contents last updated 11/17/23