| Title |
RADIS: analysis of RAD-seq data for interspecific phylogeny
|
|---|---|
| Published in |
Bioinformatics, June 2016
|
| DOI | 10.1093/bioinformatics/btw352 |
| Pubmed ID | |
| Authors | |
| Abstract |
In an attempt to make the processing of RAD-seq data easier and allow rapid and automated exploration of parameters/data for phylogenetic inference, we introduce the perl pipeline RADIS Users of RADIS can let their raw Illumina data be processed up to phylogenetic tree inference, or stop (and restart) the process at some point. Different values for key parameters can be explored in a single analysis (e.g. loci building, sample/loci selection), making possible a thorough exploration of data. RADIS relies on Stacks for demultiplexing of data, removing PCR duplicates and building individual and catalog loci. Scripts have been specifically written for trimming of reads and loci/sample selection. Finally, RAxML is used for phylogenetic inferences, though other software may be utilised. RADIS is written in perl, designed to run on Linux and Unix platforms. RADIS and its manual are freely available from http://www1.montpellier.inra.fr/CBGP/software/RADIS/ SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Italy | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Poland | 1 | 1% |
| Netherlands | 1 | 1% |
| Ireland | 1 | 1% |
| France | 1 | 1% |
| Austria | 1 | 1% |
| Unknown | 86 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 28% |
| Researcher | 25 | 27% |
| Student > Master | 7 | 8% |
| Other | 5 | 5% |
| Student > Bachelor | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 11 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 57% |
| Biochemistry, Genetics and Molecular Biology | 16 | 17% |
| Environmental Science | 5 | 5% |
| Nursing and Health Professions | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 17 | 18% |