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Search Results
| Name | Grades | Rating | |||
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BIOL 3337 (Overall) | |||||
A | |||||
BIOL 3337 Tian Hong | |||||
A | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
BIOL 3337 (Overall) | |||||
A | |||||
BIOL 3337 Tian Hong | |||||
A | |||||
Bioinformatics
BIOL 3337 (Same as MATH 3336 and BIMS 3336 and STAT 3336)
School of Natural Sciences and Mathematics
This course introduces mathematical and computational methods for analyzing and interpreting molecular biology data. The focus will be on biological sequence (DNA, RNA, and protein) analysis and its applications. Topics include working with biological databases, sequence alignment and analysis, molecular phylogeny and evolution, protein structure, and prediction. 3 credit hours.
Prerequisites: (MATH 2414 or MATH 2419) and (STAT 2332 or STAT 3332).
Offering Frequency: Each year
Grades: 12
Median GPA: A
Mean GPA: 3.788
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Bioinformatics
BIOL 3337 (Same as MATH 3336 and BIMS 3336 and STAT 3336)
School of Natural Sciences and Mathematics
This course introduces mathematical and computational methods for analyzing and interpreting molecular biology data. The focus will be on biological sequence (DNA, RNA, and protein) analysis and its applications. Topics include working with biological databases, sequence alignment and analysis, molecular phylogeny and evolution, protein structure, and prediction. 3 credit hours.
Prerequisites: (MATH 2414 or MATH 2419) and (STAT 2332 or STAT 3332).
Offering Frequency: Each year
Grades: 12
Median GPA: A
Mean GPA: 3.788
Click a checkbox to add something to compare.