Perl script for the extraction of the most abundant sequences for each OTU and each sample
This ZIP file contains a script called GOMS: Get OTU Main Sequence. GOMS is a Perl program based on mothur files. It thus requiers several files from mothur (http://www.mothur.org/wiki/454_SOP or http://www.mothur.org/wiki/MiSeq_SOP): .list file, .names file, .groups file and .fasta file. The user m...
Main Authors: | , , , , , , , , , , , , |
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Format: | Dataset |
Language: | unknown |
Published: |
Dryad Digital Repository
2016
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Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.m3p7d/13 http://datadryad.org/resource/doi:10.5061/dryad.m3p7d/13 |
_version_ | 1821692167348813824 |
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author | Galan, Maxime Razzauti, Maria Bard, Emilie Bernard, Maria Brouat, Carine Charbonnel, Nathalie Dehne-Garcia, Alexandre Loiseau, Anne Tatard, Caroline Tamisier, Lucie Vayssier-Taussat, Muriel Vignes, Hélène Cosson, Jean-François |
author_facet | Galan, Maxime Razzauti, Maria Bard, Emilie Bernard, Maria Brouat, Carine Charbonnel, Nathalie Dehne-Garcia, Alexandre Loiseau, Anne Tatard, Caroline Tamisier, Lucie Vayssier-Taussat, Muriel Vignes, Hélène Cosson, Jean-François |
author_sort | Galan, Maxime |
collection | DataCite |
description | This ZIP file contains a script called GOMS: Get OTU Main Sequence. GOMS is a Perl program based on mothur files. It thus requiers several files from mothur (http://www.mothur.org/wiki/454_SOP or http://www.mothur.org/wiki/MiSeq_SOP): .list file, .names file, .groups file and .fasta file. The user must also provide the number of the OTU and the treshold used to form the OTUs. GOMS generates a fasta file with, for each sample, the highly representative sequence of a given OTU, meaning the unique sequence which has the most important number of copies. Some information are also provided within the fasta file like the number of sequences and unique sequences assigned to the OTU and the number of copies of the main unique sequence. |
format | Dataset |
genre | Rattus rattus |
genre_facet | Rattus rattus |
id | ftdatacite:10.5061/dryad.m3p7d/13 |
institution | Open Polar |
language | unknown |
op_collection_id | ftdatacite |
op_doi | https://doi.org/10.5061/dryad.m3p7d/13 https://doi.org/10.5061/dryad.m3p7d |
op_relation | https://dx.doi.org/10.5061/dryad.m3p7d |
op_rights | http://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm | CC0 |
publishDate | 2016 |
publisher | Dryad Digital Repository |
record_format | openpolar |
spelling | ftdatacite:10.5061/dryad.m3p7d/13 2025-01-17T00:27:21+00:00 Perl script for the extraction of the most abundant sequences for each OTU and each sample Galan, Maxime Razzauti, Maria Bard, Emilie Bernard, Maria Brouat, Carine Charbonnel, Nathalie Dehne-Garcia, Alexandre Loiseau, Anne Tatard, Caroline Tamisier, Lucie Vayssier-Taussat, Muriel Vignes, Hélène Cosson, Jean-François 2016 https://dx.doi.org/10.5061/dryad.m3p7d/13 http://datadryad.org/resource/doi:10.5061/dryad.m3p7d/13 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.m3p7d http://creativecommons.org/publicdomain/zero/1.0 CC0 Zoonoses Rodents West Africa metagenomics 16S rRNA amplicon sequencing MiSeq Next-generation sequencing NGS High-throughput sequencing HTS Metabarcoding Epidemiology Disease monitoring Senegal Mus musculus domesticus Rattus rattus Mastomys natalensis Mastomys erythroleucus Borrelia Bartonella Mycoplasma Ehrlichia Rickettsia Streptobacillus Orientia dataset Dataset DataFile 2016 ftdatacite https://doi.org/10.5061/dryad.m3p7d/13 https://doi.org/10.5061/dryad.m3p7d 2021-11-05T12:55:41Z This ZIP file contains a script called GOMS: Get OTU Main Sequence. GOMS is a Perl program based on mothur files. It thus requiers several files from mothur (http://www.mothur.org/wiki/454_SOP or http://www.mothur.org/wiki/MiSeq_SOP): .list file, .names file, .groups file and .fasta file. The user must also provide the number of the OTU and the treshold used to form the OTUs. GOMS generates a fasta file with, for each sample, the highly representative sequence of a given OTU, meaning the unique sequence which has the most important number of copies. Some information are also provided within the fasta file like the number of sequences and unique sequences assigned to the OTU and the number of copies of the main unique sequence. Dataset Rattus rattus DataCite |
spellingShingle | Zoonoses Rodents West Africa metagenomics 16S rRNA amplicon sequencing MiSeq Next-generation sequencing NGS High-throughput sequencing HTS Metabarcoding Epidemiology Disease monitoring Senegal Mus musculus domesticus Rattus rattus Mastomys natalensis Mastomys erythroleucus Borrelia Bartonella Mycoplasma Ehrlichia Rickettsia Streptobacillus Orientia Galan, Maxime Razzauti, Maria Bard, Emilie Bernard, Maria Brouat, Carine Charbonnel, Nathalie Dehne-Garcia, Alexandre Loiseau, Anne Tatard, Caroline Tamisier, Lucie Vayssier-Taussat, Muriel Vignes, Hélène Cosson, Jean-François Perl script for the extraction of the most abundant sequences for each OTU and each sample |
title | Perl script for the extraction of the most abundant sequences for each OTU and each sample |
title_full | Perl script for the extraction of the most abundant sequences for each OTU and each sample |
title_fullStr | Perl script for the extraction of the most abundant sequences for each OTU and each sample |
title_full_unstemmed | Perl script for the extraction of the most abundant sequences for each OTU and each sample |
title_short | Perl script for the extraction of the most abundant sequences for each OTU and each sample |
title_sort | perl script for the extraction of the most abundant sequences for each otu and each sample |
topic | Zoonoses Rodents West Africa metagenomics 16S rRNA amplicon sequencing MiSeq Next-generation sequencing NGS High-throughput sequencing HTS Metabarcoding Epidemiology Disease monitoring Senegal Mus musculus domesticus Rattus rattus Mastomys natalensis Mastomys erythroleucus Borrelia Bartonella Mycoplasma Ehrlichia Rickettsia Streptobacillus Orientia |
topic_facet | Zoonoses Rodents West Africa metagenomics 16S rRNA amplicon sequencing MiSeq Next-generation sequencing NGS High-throughput sequencing HTS Metabarcoding Epidemiology Disease monitoring Senegal Mus musculus domesticus Rattus rattus Mastomys natalensis Mastomys erythroleucus Borrelia Bartonella Mycoplasma Ehrlichia Rickettsia Streptobacillus Orientia |
url | https://dx.doi.org/10.5061/dryad.m3p7d/13 http://datadryad.org/resource/doi:10.5061/dryad.m3p7d/13 |