Codes used to study the Crassostrea gigas oyster transcriptome response to Alexandrium exposure

R scripts written for differential analysis and regression analysis to investigate the molecular basis of Paralytic Shellfish Toxins load in the oyster Crassostrea gigas exposed to the toxigenic alga Alexandrium minutum. Differentially expressed genes were analyzed with R (version 3.2.3, Gentry et a...

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Bibliographic Details
Main Author: Mat, Audrey
Format: Dataset
Language:unknown
Published: SEANOE 2018
Subjects:
R
Online Access:https://doi.org/10.17882/52864
id ftseanoe:oai:seanoe.org:52864
record_format openpolar
spelling ftseanoe:oai:seanoe.org:52864 2023-05-15T15:57:09+02:00 Codes used to study the Crassostrea gigas oyster transcriptome response to Alexandrium exposure Mat, Audrey 2018-01-11 https://doi.org/10.17882/52864 unknown SEANOE doi:10.17882/52864 http://dx.doi.org/10.17882/52864 CC-BY-NC-SA CC-BY-NC-SA Crassostrea gigas Alexandrium minutum Paralytic Shellfish Toxins R Transcriptomic Differential expression Elastic-net regression Script dataset 2018 ftseanoe https://doi.org/10.17882/52864 2021-12-09T18:22:43Z R scripts written for differential analysis and regression analysis to investigate the molecular basis of Paralytic Shellfish Toxins load in the oyster Crassostrea gigas exposed to the toxigenic alga Alexandrium minutum. Differentially expressed genes were analyzed with R (version 3.2.3, Gentry et al. (2004) Genome Biol 5:R80) using the packages DESeq2 (version 1.10.0; Love et al. (2014) Genome Biol 15:1-21) and edgeR (version 3.12.0, Robinson et al. (2010) Bioinformatics 26:139-140). Elastic-net regression was run with R using the package glmnet (version 2.0-2, Friedman et al. (2010) J Stat Softw 33:1-22). Dataset Crassostrea gigas SEANOE (Sea scientific open data publication)
institution Open Polar
collection SEANOE (Sea scientific open data publication)
op_collection_id ftseanoe
language unknown
topic Crassostrea gigas
Alexandrium minutum
Paralytic Shellfish Toxins
R
Transcriptomic
Differential expression
Elastic-net regression
Script
spellingShingle Crassostrea gigas
Alexandrium minutum
Paralytic Shellfish Toxins
R
Transcriptomic
Differential expression
Elastic-net regression
Script
Mat, Audrey
Codes used to study the Crassostrea gigas oyster transcriptome response to Alexandrium exposure
topic_facet Crassostrea gigas
Alexandrium minutum
Paralytic Shellfish Toxins
R
Transcriptomic
Differential expression
Elastic-net regression
Script
description R scripts written for differential analysis and regression analysis to investigate the molecular basis of Paralytic Shellfish Toxins load in the oyster Crassostrea gigas exposed to the toxigenic alga Alexandrium minutum. Differentially expressed genes were analyzed with R (version 3.2.3, Gentry et al. (2004) Genome Biol 5:R80) using the packages DESeq2 (version 1.10.0; Love et al. (2014) Genome Biol 15:1-21) and edgeR (version 3.12.0, Robinson et al. (2010) Bioinformatics 26:139-140). Elastic-net regression was run with R using the package glmnet (version 2.0-2, Friedman et al. (2010) J Stat Softw 33:1-22).
format Dataset
author Mat, Audrey
author_facet Mat, Audrey
author_sort Mat, Audrey
title Codes used to study the Crassostrea gigas oyster transcriptome response to Alexandrium exposure
title_short Codes used to study the Crassostrea gigas oyster transcriptome response to Alexandrium exposure
title_full Codes used to study the Crassostrea gigas oyster transcriptome response to Alexandrium exposure
title_fullStr Codes used to study the Crassostrea gigas oyster transcriptome response to Alexandrium exposure
title_full_unstemmed Codes used to study the Crassostrea gigas oyster transcriptome response to Alexandrium exposure
title_sort codes used to study the crassostrea gigas oyster transcriptome response to alexandrium exposure
publisher SEANOE
publishDate 2018
url https://doi.org/10.17882/52864
genre Crassostrea gigas
genre_facet Crassostrea gigas
op_relation doi:10.17882/52864
http://dx.doi.org/10.17882/52864
op_rights CC-BY-NC-SA
op_rightsnorm CC-BY-NC-SA
op_doi https://doi.org/10.17882/52864
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