Integration of bioinformatics into an undergraduate biology curriculum and the impact on development of mathematical skills

The development of fields such as bioinformatics and genomics has created new challenges and opportunities for undergraduate biology curricula. Students preparing for careers in science, technology, and medicine need more intensive study of bioinformatics and more sophisticated training in the mathematics on which this field is based. In this study, we deliberately integrated bioinformatics instruction at multiple course levels into an existing biology curriculum. Students in an introductory biology course, intermediate lab courses, and advanced project‐oriented courses all participated in new course components designed to sequentially introduce bioinformatics skills and knowledge, as well as computational approaches that are common to many bioinformatics applications. In each course, bioinformatics learning was embedded in an existing disciplinary instructional sequence, as opposed to having a single course where all bioinformatics learning occurs. We designed direct and indirect assessment tools to follow student progress through the course sequence. Our data show significant gains in both student confidence and ability in bioinformatics during individual courses and as course level increases. Despite evidence of substantial student learning in both bioinformatics and mathematics, students were skeptical about the link between learning bioinformatics and learning mathematics. While our approach resulted in substantial learning gains, student “buy‐in” and engagement might be better in longer project‐based activities that demand application of skills to research problems. Nevertheless, in situations where a concentrated focus on project‐oriented bioinformatics is not possible or desirable, our approach of integrating multiple smaller components into an existing curriculum provides an alternative.

[1]  Fred Garafalo,et al.  Evolution of an integrated college freshman curriculum: Using educational research findings as a guide , 1993 .

[2]  Laurie J. Heyer,et al.  Make microarray data with known ratios. , 2007, CBE life sciences education.

[3]  Todd T Eckdahl,et al.  An inexpensive gel electrophoresis-based polymerase chain reaction method for quantifying mRNA levels. , 2005, Cell biology education.

[4]  R. May Uses and Abuses of Mathematics in Biology , 2004, Science.

[5]  J. Thompson,et al.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. , 1994, Nucleic acids research.

[6]  Anneke M Metz,et al.  Teaching statistics in biology: using inquiry-based learning to strengthen understanding of statistical analysis in biology laboratory courses. , 2008, CBE life sciences education.

[7]  Syed Haque,et al.  Advances in Biomedical Informatics for the Management of Cancer , 2002, Annals of the New York Academy of Sciences.

[8]  J. Andersen Enriching the Teaching of Biology with Mathematical Concepts. , 2007 .

[9]  Division on Earth BIO2010: Transforming Undergraduate Education for Future Research Biologists , 2003 .

[10]  Thomas D. Schmittgen,et al.  Real-Time Quantitative PCR , 2002 .

[11]  K. Livak,et al.  Real time quantitative PCR. , 1996, Genome research.

[12]  Russ B. Altman,et al.  A curriculum for bioinformatics: the time is ripe , 1998, Bioinform..

[13]  A Malcolm Campbell,et al.  DNA microarray wet lab simulation brings genomics into the high school curriculum. , 2006, CBE life sciences education.

[14]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[15]  M. Pouliot,et al.  Rapid and simple comparison of messenger RNA levels using real-time PCR , 2006, Biological Procedures Online.

[16]  Laurie J. Heyer,et al.  MAGIC Tool: integrated microarray data analysis , 2005, Bioinform..

[17]  Jeremy Buhler,et al.  The Genomics Education Partnership: Successful Integration of Research into Laboratory Classes at a Diverse Group of Undergraduate Institutions , 2010, CBE life sciences education.

[18]  M. Gazzaniga How to Change the University , 1998, Science.

[19]  Laura Lowe Furge,et al.  Vertical and horizontal integration of bioinformatics education , 2009, Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology.

[20]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[21]  M. Nei,et al.  MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. , 2007, Molecular biology and evolution.

[22]  W. Bialek,et al.  Introductory Science and Mathematics Education for 21st-Century Biologists , 2004, Science.

[23]  A Malcolm Campbell,et al.  Genome Consortium for Active Teaching: meeting the goals of BIO2010. , 2007, CBE life sciences education.

[24]  E. Wilson Consilience: The Unity of Knowledge , 1998 .

[25]  Thomas D. Schmittgen,et al.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. , 2001, Methods.

[26]  Edwin Diamond,et al.  Law and order comes to cyberspace , 1995 .