A. General biology |
knowledge to application |
comprehension |
knowledge |
comprehension |
B. Depth in at least one area of biology (e.g., evolutionary biology, genetics, molecular biology, biochemistry, anatomy, physiology) |
application |
application to evaluation |
evaluation |
application to evaluation |
C. Biological data generation technologies. |
knowledge |
knowledge to evaluation |
knowledge |
knowledge |
D. Details of the scientific discovery process and of the role of bioinformatics in it. |
application to analysis |
comprehension to analysis |
knowledge to comprehension |
comprehension to evaluation |
E. Statistical research methods in the context of molecular biology, genomics, medical, and population genetics research. |
knowledge to application |
knowledge to application |
knowledge to comprehension |
comprehension |
F. Bioinformatics tools and their usage. |
comprehension |
knowledge to analysis |
knowledge |
application |
G. The ability of a computer-based system, process, algorithm, component, or program to meet desired needs in scientific environments/problem. |
N/A |
knowledge |
N/A |
comprehension to application |
H. Computing requirements appropriate to solve a given scientific problem (e.g., system, process, algorithm, component or program; define algorithmic time and space complexities and hardware resources required to solve a problem). |
N/A |
knowledge |
N/A |
comprehension to application |
I. GUI/Web-based computing skills appropriate to the discipline (e.g., effectively use bioinformatics and analysis tools through web). |
knowledge |
application |
comprehension |
application to evaluation |
J. Command line and scripting-based computing skills appropriate to the discipline. |
N/A |
knowledge |
N/A |
comprehension |
K. Construction of software systems of varying complexity based on design and development principles. |
N/A |
N/A |
N/A |
knowledge |
L. Local and global impact of bioinformatics and genomics on individuals, organizations, and society. |
knowledge |
comprehension |
application |
comprehension |
M. Professional, ethical, legal, security and social issues and responsibilities of bioinformatics and genomic data in the workplace. |
application |
evaluation |
evaluation |
analysis |
N. Effective communication of bioinformatics and genomics problem/issue/topics with a range of audiences, including, but not limited to, other bioinformatics professionals |
comprehension |
application |
application |
application to evaluation |
O. Effective teamwork to accomplish a common scientific goal. |
knowledge |
analysis |
knowledge |
analysis |
P. Engage in continuing professional development in bioinformatics. |
evaluation to analysis |
application |
application to evaluation |
application |