Bioinformatics and Computational Biology (BCBIO)

This is an archived copy of the 2020-2021 catalog. To access the most recent version of the catalog, please visit http://catalog.iastate.edu.

View PDF

Any experimental courses offered by BCBIO can be found at: registrar.iastate.edu/faculty-staff/courses/explistings/

Expand all courses

Courses

Courses primarily for undergraduates:

(1-0) Cr. 0.5. F.


First 8 weeks. Orientation to the area of bioinformatics and computational biology. For students considering a major in BCBIO. Specializations and career opportunities. Offered on a satisfactory-fail basis only.

(Cross-listed with BIOL, GEN). (3-0) Cr. 3. F.

Prereq: BIOL 212
Genome sequencing, assembly, structural and functional annotation, and comparative genomics. Investigating these topics will develop skills in programming and scripting (Perl and/or Python), the use of biological databases, sequence alignment, similarity search, identification of sequence patterns, construction of phylogenetic trees, and comparative genomics.

(3-0) Cr. 3. F.

Prereq: BCBIO 322 and basic programming experience (e.g. COM S 207, COM S 227 or permission of instructor)
Application of computer science and engineering to molecular biology. String algorithms, sequence alignments, data structures, homology search methods, pattern recognition, fragment assembly, genome annotation, construction of bioinformatics databases, and gathering and distribution of biological information with the Internet.

(3-0) Cr. 3. S.

Prereq: BIOL 212
Technologies: transcriptome, proteome, metabolome; Networks: Gene regulatory network, Protein-protein interaction network, Literature network; Theories: Graph theory, random network, scale-free network, evolving network, network robustness; Tools: Jmol, MeV, Cytoscape, Citespace.

(0.2-0.5) Cr. 0.5. Repeatable, maximum of 2 credits. S.SS.

Prereq: BIOL 314 recommended
Modular minicourses consisting of guided tutorials and hands-on computer software exercises focused on fundamental problems, approaches, and software applications in bioinformatics and computational biology. Offered on a satisfactory-fail basis only.

(0.2-0.5) Cr. 0.5. Repeatable, maximum of 2 credits. S.SS.

Prereq: BIOL 314 recommended
Modular minicourses consisting of guided tutorials and hands-on computer software exercises focused on fundamental problems, approaches, and software applications in bioinformatics and computational biology. Offered on a satisfactory-fail basis only.

(0.2-0.5) Cr. 0.5. Repeatable, maximum of 2 credits. S.SS.

Prereq: BIOL 314 recommended
Modular minicourses consisting of guided tutorials and hands-on computer software exercises focused on fundamental problems, approaches, and software applications in bioinformatics and computational biology. Offered on a satisfactory-fail basis only.

(0.2-0.5) Cr. 0.5. Repeatable, maximum of 2 credits. S.SS.

Prereq: BIOL 314 recommended
Modular minicourses consisting of guided tutorials and hands-on computer software exercises focused on fundamental problems, approaches, and software applications in bioinformatics and computational biology. Offered on a satisfactory-fail basis only.

(0.2-0.5) Cr. 0.5. Repeatable, maximum of 2 credits. S.SS.

Prereq: BIOL 314 recommended
Modular minicourses consisting of guided tutorials and hands-on computer software exercises focused on fundamental problems, approaches, and software applications in bioinformatics and computational biology. Offered on a satisfactory-fail basis only.

(Cross-listed with BCB, BIOL, COM S, CPR E, GEN). (4-0) Cr. 4. F.

Prereq: MATH 165 and Introductory Statistics (STAT 101, STAT 104, STAT 105, STAT 201, or STAT 330).
Broad overview of bioinformatics with a significant problem-solving component, including hands-on practice using computational tools to solve a variety of biological problems. Topics include: bioinformatic data processing, Python programming, genome assembly, database search, sequence alignment, gene prediction, next-generation sequencing, comparative and functional genomics, and systems biology.

Cr. 1-5. Repeatable, maximum of 9 credits. F.S.SS.

Prereq: BCBIO 322, junior or senior classification, permission of instructor
Independent research projects for undergraduate students in bioinformatics and computational biology. Students in the College of Liberal Arts and Sciences may use no more than 9 credits of BCBIO 490 and 491 toward graduation.

Cr. 1-5. Repeatable, maximum of 9 credits. F.S.SS.

Prereq: BCBIO 322, junior or senior classification, permission of instructor
Research projects in bioinformatics and computational biology done by teams of students. Students in the College of Liberal Arts and Sciences may use no more than 9 credits of BCBIO 490 and 491 toward graduation.