High Throughput Sequencing Analysis

Spring 2025


Tentative Syllabus!

Subject to change before start of Spring Semester


Evolving syllabus

Subject to some change during the course of the semester. Under certain circumstances, the instructor may have to alter course requirements, assignment deadlines, and grading procedures; and the university may have to alter the semester calendar.

Course Description

In this course, students will analyze eukaryotic High Throughput Sequencing (aka "Next Generation Sequencing") data. Students will carry out a research project in small groups, have weekly lab meetings, and write lab reports.


Prequisites

Students taking this section must have permission of instructor.


Administrative details

Texts:None needed
Meetings:Lecture MW 11-11:50pm, WAL-4560
Workshop Th 9:30-11:20am, Zoom

Contact Information

Instructor:Michael Osier
Office:08-1338
Instructor ScheduleOnline
Contact: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.

NOTA BENE: Required readings are in myCourses under Content.

Monday Wednesday Thursday Writing due
Week 1 Jan 13 Introduction, Finding data HTS basics: technologies and analysis, including readings Unix/Linux command line None
Week 2 Jan 20 No class HTS basics Trapnell paper Design analysis flowchart
Week 3 Jan 27 Assembler readings Start Trapnell data set - quality control Project picking, Trapnell QC First and second picks with justification (due week 4 Monday)
Week 4 Feb 3 RNASeq readings Trapnell data set - QC debrief and alignment Weekly reports
Week 5 Feb 10 Composite structures readings Trapnell data set - Alignment debrief and differential expression
Week 6 Feb 17 Barcoding readings First stage analyses - Quality control
Week 7 Feb 24 eDNA and scRNASeq readings
Week 8 Mar 3 First stage analyses - Quality control
Week 9 Mar 10 Spring Break Optional weekly report
Week 10 Mar 17 Second stage analyses - assembly/alignment Second stage analyses - assembly/alignment Weekly report; Required peer evaluations
Week 11 Mar 24 Variant callers and missing genes readings Weekly reports
Week 12 Mar 31 Third stage analyses - differential expression Third stage analyses - differential expression and visualization
Week 13 Apr 7 Long read technologies readings Third stage analyses - differential expression and visualization Weekly report; Final paper draft 1 - outline
Week 14 Apr 14 Microbiome and epigenetics readings Third stage analyses - differential expression and visualization Weekly report; Final paper draft 2 - half of prose/figures
Week 15 Apr 21 Cleanup/bonus analyses Cleanup/bonus analyses - SNP calling, create transcriptomes, etc. Weekly report; Final paper draft 3 - nearly done
Week 16 Apr 28 Cleanup/bonus analyses Exam week activity Final paper; Final peer evaluations


Grading

10 weekly lab reports3 pts each x 10 = 30 pts total
3 Trapnell data set Analyses10 pts each x 3 = 30 pts
Participation in First stage Analysis30 pts
Participation in Second stage Analysis30 pts
Participation in Third stage Analysis30 pts
3 Final Paper Drafts2 pts each = 6 pts
Final Paper24 pts
Two peer evaluations10 pts each = 20 pts total
Total200 pts
Bonus: bonus analysis for project20 pts
Total available bonus20 pts

A[190-200]
A-[180-190)
B+[173.4-180)
B[166.7-173.4)
B-[160-166.7)
C+[153.4-160)
C[146.7-153.4)
C-[140-146.7)
D[120-140)
F<120


Projects and grading of progress

Each project will use real HTS data. Student form teams and pick one project during Week 3. Students will spend the rest of the semester analyzing this data set.

For each project, there may be trees of primary, secondary, and tertiary analysis steps, which are dependent on each other. For example, any Secondary Analysis will be dependent upon having a Primary Analysis that was completed correctly. Completion of more than three levels of analysis can result in bonus points! Be sure to ask the instructor well in advance if you wish to carry out the additional work to verify that it is appropriate.

Participation for each step of analysis will be graded for elements such as completeness, choice of analysis method, appropriate parameter choice, demonstration of active participation, and regular online communications through the myCourses Discussion groups. Individual participation, including full participation in all class sessions, will also be observed and incorporated.


Readings

Readings are due before the lecture meetings of that week. These readings are intended both to acclimate you to the topic of the week, and serve as discussion for that week. All papers should be available through myCourses, although some are linked out. In no case should you have to pay for any articles!


Lab reports

Over the semester, students must submit individual lab reports for 10 out of the 12 available weeks, counting the project choice. Reports must be one-half to two single spaced pages for undergraduates, or one to two pages for graduate students, submitted to the correct myCourses dropbox before the next week's Friday meeting. Reports must include the following elements:


Final paper

A final paper written by the group, explaining your work, in a typical journal format, is due submitted to the myCourses dropbox before the end of the last day of classes (Monday, April 29th, 11:59pm). No late papers will be accepted.

Part of a draft, written by the group, is due during Weeks 13 through 15 on the following schedule. Drafts must be submitted to the appropriate myCourses DropBox before Thursday workshop. Each draft is worth 1% of your final grade, for a total of 3%. No late drafts will be accepted for a grade. For drafts, color your individual text in a color unique to you among your group. You must use MS Word, LibreOffice, or OpenOffice. Word is available from the COS computer labs and the others are free. Be sure to include one comment at the start of the draft with your full name so that your revision color can be identified.

Expectations of the paper are as follows.

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.


Plagiarism/cheating policy

For the first offense, anyone caught plagiarizing or otherwise cheating will receive a 0 (zero) on the assignment, 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. Duplicate submissions or excessive patchwriting will also receive a grade of 0 (zero) for the assignment. 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.

If you have any questions about whether or not something constitutes plagiarism and/or cheating, please ask the instructor in advance.


Links

Tools used in class Other links

Contents last updated 9/17/24