Spring 2027

Bioinformatics for Microbiologists

Introduction to sequence-based bioinformatics for microbial systems, covering BLAST, RNA-seq, genome assembly, annotation, and comparative genomics.

offering recorded3 credits
Recorded instructors · Spring 2027 Garret Suen

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.92 GPA, 96.0% A/AB (n=50 letter grades); Spring 2025: 3.96 GPA, 98.0% A/AB (n=49 letter grades); Spring 2026: 3.80 GPA, 97.6% A/AB (n=42 letter grades).

What you’ll be able to do

  • Demonstrate use of the Unix/Linux-based operating system using command line.

  • Download and install sequence analysis programs locally on a computer.

  • Evaluate the outcomes of sequence data analysis and determine if an analysis is statistically relevant and robust.

  • Code complex and advanced programs in python that not only facilitate pipeline construction, but also more in-depth parsing of tool output.

  • Utilize bioinformatics tools to enable comparative genomics analysis that extend the standard use of those tools.

  • Evaluate primary literature and determine what available tools are most appropriate for solving a specific analysis problem.

  • Utilize advanced parameters in BLAST to facilitate complex comparisons across sequence data types.

  • Demonstrate the ability to compile a program from source code so as to leverage local environmental variables for installation.

Source: UW Guide

Grade history

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average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
MICROBIO 657

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

Recent recorded grades — Spring 2024: 3.92 GPA, 96.0% A/AB (n=50 letter grades); Spring 2025: 3.96 GPA, 98.0% A/AB (n=49 letter grades); Spring 2026: 3.80 GPA, 97.6% A/AB (n=42 letter grades).

Historical instructors & teaching patterns

GARRET SUEN is recorded teaching in Spring 2019, Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 350

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Recent recorded grades — Spring 2024: 3.92 GPA, 96.0% A/AB (n=50 letter grades); Spring 2025: 3.96 GPA, 98.0% A/AB (n=49 letter grades); Spring 2026: 3.80 GPA, 97.6% A/AB (n=42 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • BLAST, RNA-seq analysis, transcriptional binding prediction
  • Genome sequence assembly, analysis, and annotation
  • Comparative genomics
  • Classical and newer bioinformatic algorithms

Skills

  • Use Unix/Linux command line
  • Install sequence analysis programs
  • Evaluate statistical relevance of sequence analysis
  • Code Python programs for pipelines and parsing
  • Apply bioinformatics tools for comparative genomics
  • Select tools based on primary literature evaluation
  • Use advanced BLAST parameters
  • Compile programs from source code

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1280 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records
MICROBIO 657 · Spring 2027

Bioinformatics for Microbiologists

Recorded 2026-10-14
Raw records
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:192:025000",
    "course_id": "MICROBIO 657",
    "course_uid": "course_a595ff5e652a1f7696b443d0",
    "term_id": "1274",
    "source_course_id": "025000",
    "source_subject_id": "192",
    "title": "Bioinformatics for Microbiologists",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Every Other Spring"
  }
]
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Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "8cde0d7240cc476fb1791e251a28c89bd23e1f575f31eb5b295b41b0dc055a1f",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}