A first attempt to bring computational biology into advanced high school biology classrooms

PLoS Computational Biology

Volumn 7, Issue 10, 2011, Pages

  Gallagher, Suzanne Renick ^a   Coon, William ^a   Donley, Kristin ^b   Scott, Abby ^b   Goldberg, Debra S ^a  

^a UCB 450   (United States)

^b Boulder Valley School District   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CURRICULA; STUDENTS; TEACHING;

BIOLOGICAL RESEARCH; COLLEGE STUDENTS; COMPUTATIONAL BIOLOGY; COMPUTATIONAL ELEMENTS; COMPUTATIONAL SKILLS; GENETIC EVOLUTION; HIGHER SCHOOL; LOCAL HIGHER SCHOOLS; SECONDARY SCHOOLS; TEACHERS';

BIOLOGY;

ARTICLE; BIOLOGY; COMPUTER NETWORK; COMPUTER PROGRAM; CONTENT ANALYSIS; CONTROLLED STUDY; CURRICULUM DEVELOPMENT; EDUCATIONAL TECHNOLOGY; GENETIC ALGORITHM; HIGH SCHOOL; HIGH SCHOOL STUDENT; HUMAN; MATHEMATICAL COMPUTING; MEDICAL RESEARCH; PROGRAM DEVELOPMENT; ADOLESCENT; ALGORITHM; CURRICULUM; DATA MINING; DNA SEQUENCE; EDUCATION; PHYLOGENY; SCHOOL; STUDENT;

ADOLESCENT; ALGORITHMS; COMPUTATIONAL BIOLOGY; CURRICULUM; DATA MINING; HUMANS; PHYLOGENY; SCHOOLS; SEQUENCE ANALYSIS, DNA; STUDENTS;

EID: 80055066426     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002244     Document Type: Article

References (15)

1. Nussinov R, (1989) The ordering of the nucleotides in DNA: computational problems in molecular biology. Comput Biol Med 19: 269-281.
2. Bowen J, Charifson P, Fox P, Kontoyaianni M, Miller A, et al. (1993) Computer-assisted molecular modeling: indispensable tools for molecular pharmacology. J Clin Pharmacol 33: 1149-1164.
3. Rawlings C, Fox J, (1994) Artificial intelligence in molecular biology: a review and assessment. Philos Trans R Soc Lond B Biol Sci 344: 353-363.
4. Robbins R, (1996) Bioinformatics: essential infrastructure for global biology. J Comput Biol 3: 465-478.
5. Lewitter F, Bourne PE, (2011) Teaching bioinformatics at the secondary school level. PLoS Comput Biol 7: e1002242 doi:10.1371/journal.pcbi.1002242.
6. Altschul S, Gish W, Miller W, Myers E, Lipman D, (1990) Basic local alignment search tool. J Mol Biol 215: 403-410.
7. Lukasova A, (1979) Hierarchical agglomerative clustering procedure. Pattern Recognit 11: 365-381.
8. Kumar S, Tamura K, Nei M, (1994) MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers. Comput Appl Biosci 10: 189-191.
9. Felsenstein J, (1996) Inferring phylogenies from protein sequences by parsimony, distance, and likelihood methods. Methods Enzymol 266: 418-427.
10. Yang Z, (1997) PAML: a program package for phylogenetic analysis by maximum likelihood. Comput Appl Biosci 13: 555-556.
11. Huelsenbeck JP, Ronquist F, (2001) MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics 17: 754-755.
12. Stamatakis A, Ludwig T, Meier H, (2005) RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees. Bioinformatics 21: 456-463.
13. Price MN, Dehal PS, Arkin AP, (2009) FastTree: computing large minimum evolution trees with profiles instead of a distance matrix. Mol Biol Evol 26: 1641-1650.
14. Basawapatna A, Koh KH, Repenning A, (2010) Using scalable game design to teach computer science from middle school to graduate school. In: Proceedings of the 15th Annual Conference on Innovation and Technology in Computer Science Education; 26-30 June 2010; Bilkent, Ankara, Turkey. ITiCSE 2010.
15. The College Board (2011) AP Biology curriculum framework: 2012-2013. Available: http://media.collegeboard.com/digitalServices/pdf/ap/10b_2727_AP_Biology_CF_WEB_110128.pdf. Accessed 7 October 2011.