Bioinformatics Program

student learning objectives fundamentals course

The following course-specific SLO’s map back to the BPG program-specific SLO’s.

Graduating students WILL BE ABLE TO:

1)            Describe mammalian and nonmammalian genome structure and function, including (for
               example):

a. Repeated element distribution
b. Transcription factor binding sites (for long- and short-range factors)

2)            Discuss the processes of genome evolution, including (for example):

a. Phylogenetics

3)           Describe and use analytic tools associated with systems/bioinformatic approaches, including (for example):

a. Transcriptomics – microarray analysis vs. deep sequencing
b. Proteomic mass spectroscopic methods (identification and abundance)
c. Determining statistical significance in large bioinformatic datasets

4)            Carry out appropriate statistical analysis of sequence information, including (for example):

a. Probabilistic methods
b. Deterministic methods
c. Cluster analysis

5)            Demonstrate competent use of existing bioinformatic and statistical software, including (for
               example):

a. Alignments and their interpretation
b. Phylogenetic analyses
c. Programs to predict genes and transcription factor binding sites
d. Programs to display, predict and analyze 3D biomolecule structures

Last Updated: 8/16/22