Bioinformatics Program

student learning objectives - abpg


Student Learning Objectives (SLO's)
BIPG6400/8400 Application of Bioinformatics (3cr)

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
a.            Coding/non-coding sequence distribution
b.            Isochore structure
c.             Repeated element distribution
d.            Intron/exon structure and distribution
e.            Transcription factor binding sites (for long- and short-range factors)

2)            Discuss the processes of genome evolution, including (for example):
a.            Mechanisms of mutation
b.            Consequences and exploitation of SNPs
c.             Phylogenetics
d.            Major theories for the origin of novel genes
e.            Nature and basis of codon bias

3)            Describe and use analytic tools associated with systems/bioinformatic approaches, including (for
a.            Transcriptomics – microarray analysis vs. deep sequencing
b.            Determining statistical significance in large bioinformatic datasets
c.             Determination and structure of interaction networks
d.            Functional network maps

4)            Carry out appropriate statistical analysis of sequence information, including (for example):
a.            Probabilistic methods
b.            Deterministic methods
c.             Machine learning methods, including Support Vector Machines (SVMs)
d.            Cluster analysis

5)            Demonstrate competent use of existing bioinformatic and statistical software, including (for
a.            Phylogenetic analyses

6)            Communicate competently both in writing and orally
a.            With fellow team members in research projects

Last Updated: 8/16/22