Literature DB >> 21585725

ribosort: a program for automated data preparation and exploratory analysis of microbial community fingerprints.

U Scallan1, A Liliensiek, N Clipson, J Connolly.   

Abstract

ribosort is a computer package for convenient editing of automated ribosomal intergenic spacer analysis (ARISA) and terminal restriction fragment length polymorphism (TRFLP) data. It is designed to eliminate the labourious task of manually classifying community fingerprints in microbial ecology studies. This program automatically assigns detected fragments and their respective relative abundances to appropriate ribotypes. It permits simultaneous sorting of multiple profiles and facilitates direct workflow from TRFLP and ARISA output through to community analyses. ribosort also provides several options to merge repeat profiles of a sample into a single composite profile. By creating a 'ribotypes by samples' matrix ready for statistical analyses, use of the package saves time and simplifies the preparation of DNA fingerprint data sets for statistical analysis. In addition, ribosort performs exploratory analysis on the data by creating multidimensional scaling plots that compare the similarity of sample profiles using the statistical software r.
© 2007 The Authors.

Year:  2008        PMID: 21585725     DOI: 10.1111/j.1471-8286.2007.01901.x

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  14 in total

1.  Low pore connectivity increases bacterial diversity in soil.

Authors:  Jennifer K Carson; Vanesa Gonzalez-Quiñones; Daniel V Murphy; Christoph Hinz; Jeremy A Shaw; Deirdre B Gleeson
Journal:  Appl Environ Microbiol       Date:  2010-04-23       Impact factor: 4.792

2.  Microbial community diversity of moonmilk deposits at Ballynamintra Cave, Co. Waterford, Ireland.

Authors:  Deirdre C Rooney; Elena Hutchens; Nicholas Clipson; James Baldini; Frank McDermott
Journal:  Microb Ecol       Date:  2010-06-22       Impact factor: 4.552

3.  Soil microbial community successional patterns during forest ecosystem restoration.

Authors:  Natasha C Banning; Deirdre B Gleeson; Andrew H Grigg; Carl D Grant; Gary L Andersen; Eoin L Brodie; D V Murphy
Journal:  Appl Environ Microbiol       Date:  2011-07-01       Impact factor: 4.792

4.  Site properties have a stronger influence than fire severity on ectomycorrhizal fungi and associated N-cycling bacteria in regenerating post-beetle-killed lodgepole pine forests.

Authors:  Nabla M Kennedy; Susan J Robertson; D Scott Green; Scott R Scholefield; Joselito M Arocena; Linda E Tackaberry; Hugues B Massicotte; Keith N Egger
Journal:  Folia Microbiol (Praha)       Date:  2014-12-25       Impact factor: 2.099

5.  Influences of plant species composition, fertilisation and Lolium perenne ingression on soil microbial community structure in three Irish grasslands.

Authors:  Ann-Kathrin Liliensiek; Dwipendra Thakuria; Nicholas Clipson
Journal:  Microb Ecol       Date:  2011-12-10       Impact factor: 4.552

6.  Benzo(a)pyrene degradation and microbial community responses in composted soil.

Authors:  Fengxiao Zhu; Sean Storey; Mardiana Mohd Ashaari; Nicholas Clipson; Evelyn Doyle
Journal:  Environ Sci Pollut Res Int       Date:  2016-12-26       Impact factor: 4.223

7.  A Strong Impact of Genetic Background on Gut Microflora in Mice.

Authors:  R Steven Esworthy; David D Smith; Fong-Fong Chu
Journal:  Int J Inflam       Date:  2010-06-01

8.  Microbial community analysis of field-grown soybeans with different nodulation phenotypes.

Authors:  Seishi Ikeda; Lynn Esther E Rallos; Takashi Okubo; Shima Eda; Shoko Inaba; Hisayuki Mitsui; Kiwamu Minamisawa
Journal:  Appl Environ Microbiol       Date:  2008-07-25       Impact factor: 4.792

9.  Effects of non-indigenous oysters on microbial diversity and ecosystem functioning.

Authors:  Dannielle S Green; Bas Boots; Tasman P Crowe
Journal:  PLoS One       Date:  2012-10-29       Impact factor: 3.240

10.  Tree species traits influence soil physical, chemical, and biological properties in high elevation forests.

Authors:  Edward Ayres; Heidi Steltzer; Sarah Berg; Matthew D Wallenstein; Breana L Simmons; Diana H Wall
Journal:  PLoS One       Date:  2009-06-18       Impact factor: 3.240

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