T-REX: software for the processing and analysis of T-RFLP data |
| |
| Authors: | Steven W Culman Robert Bukowski Hugh G Gauch Hinsby Cadillo-Quiroz and Daniel H Buckley |
| |
| Affiliation: | (1) Department of Crop and Soil Sciences, Cornell University, 515 Bradfield Hall, Ithaca, NY, USA;(2) Computational Biology Service Unit, Cornell University, 620 Rhodes Hall, Ithaca, NY, USA;(3) Department of Crop and Soil Sciences, Cornell University, 519 Bradfield Hall, Ithaca, NY, USA;(4) Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA;(5) Department of Crop and Soil Sciences, Cornell University, 705 Bradfield Hall, Ithaca, NY, USA;(6) Department of Land, Air and Water Resources, One Shields Avenue, University of California, 3150 Plant and Environmental Science, Davis, CA 95616, USA |
| |
| Abstract: | Background Despite increasing popularity and improvements in terminal restriction fragment length polymorphism (T-RFLP) and other microbial
community fingerprinting techniques, there are still numerous obstacles that hamper the analysis of these datasets. Many steps
are required to process raw data into a format ready for analysis and interpretation. These steps can be time-intensive, error-prone,
and can introduce unwanted variability into the analysis. Accordingly, we developed T-REX, free, online software for the processing and analysis of T-RFLP data. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
