
Informatics approaches to develop dynamic meta-analyses
Publication
, Journal Article
Garamszegi, LZ; Nunn, CL; McCabe, CM
Published in: Evolutionary Ecology
September 1, 2012
Duke Scholars
Published In
Evolutionary Ecology
DOI
ISSN
0269-7653
Publication Date
September 1, 2012
Volume
26
Issue
5
Start / End Page
1275 / 1276
Related Subject Headings
- Evolutionary Biology
- 3104 Evolutionary biology
- 3103 Ecology
- 0603 Evolutionary Biology
- 0602 Ecology
Citation
APA
Chicago
ICMJE
MLA
NLM
Garamszegi, L. Z., Nunn, C. L., & McCabe, C. M. (2012). Informatics approaches to develop dynamic meta-analyses. Evolutionary Ecology, 26(5), 1275–1276. https://doi.org/10.1007/s10682-012-9592-0
Garamszegi, L. Z., C. L. Nunn, and C. M. McCabe. “Informatics approaches to develop dynamic meta-analyses.” Evolutionary Ecology 26, no. 5 (September 1, 2012): 1275–76. https://doi.org/10.1007/s10682-012-9592-0.
Garamszegi LZ, Nunn CL, McCabe CM. Informatics approaches to develop dynamic meta-analyses. Evolutionary Ecology. 2012 Sep 1;26(5):1275–6.
Garamszegi, L. Z., et al. “Informatics approaches to develop dynamic meta-analyses.” Evolutionary Ecology, vol. 26, no. 5, Sept. 2012, pp. 1275–76. Scopus, doi:10.1007/s10682-012-9592-0.
Garamszegi LZ, Nunn CL, McCabe CM. Informatics approaches to develop dynamic meta-analyses. Evolutionary Ecology. 2012 Sep 1;26(5):1275–1276.

Published In
Evolutionary Ecology
DOI
ISSN
0269-7653
Publication Date
September 1, 2012
Volume
26
Issue
5
Start / End Page
1275 / 1276
Related Subject Headings
- Evolutionary Biology
- 3104 Evolutionary biology
- 3103 Ecology
- 0603 Evolutionary Biology
- 0602 Ecology