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Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species

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Important usage condition: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/JBUJFW
Published version
1.0
Publication date
2025-01-06
License
CC BY 4.0

Description

Contains the raw results of the gene family prediction and their differential expression under drought in the Brassicaceae species Eutrema salsugineum, Arabidopsis lyrata, Arabidopsis thaliana and Brassica napus, including phylogenetic trees for expanded gene families. It contains a table of all Conserved gene families with their respective genes. It also contains the raw results from the prediction of diversifying selection in all gene families.

Creators

Keywords

Drought Adaptation, Candidate Gene Prediction, Plants, Genomics

Files

Before downloading: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
OGs_pos_selection_pvalues.tsvtext/tsv4902208MD5 8584edded61fc97e0c5097b53f3b3609
Conserved_dataset_matrix.tsvtext/tsv3319424MD5 27c6d37ef69ee2fe52977db8117f02d2
A2TEA_finished.RDataapplication/x-rlang-transport35507112MD5 3a29b566ffce91f612dced974bdaa404
Uebermuth-Feldhaus_Readme.txttext/plain6432MD5 61736a4c6128f063ac5d364829faa3a9

Citation

Uebermuth-Feldhaus, Carolin, 2025-01-06, Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species, doi:10.60507/FK2/JBUJFW, V1.0

Additional Dataverse fields

Id266
Dataset Typedataset
Internal Version Number23
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2025-01-06T12:47:45Z
Create Time2024-09-17T12:13:20Z
Citation Date2025-01-06
File Access RequestTrue

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Complete Dataverse metadata

Citation Metadata

Title title
Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species
Subtitle subtitle
Raw results of the prediction of candidate genes for drought adaptation and results of the prediction of diversifying selection.
Author author
  1. Author Name
    Uebermuth-Feldhaus, Carolin
    Author Affiliation
    University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    0000-0003-3071-2458
Dataset Contact datasetContact
  1. Dataset Contact Name
    Uebermuth-Feldhaus, Carolin
    Dataset Contact Affiliation
    University of Bonn
    Dataset Contact Email
    s6cauebe@uni-bonn.de
Ds Description dsDescription
  1. Ds Description Value
    Contains the raw results of the gene family prediction and their differential expression under drought in the Brassicaceae species Eutrema salsugineum, Arabidopsis lyrata, Arabidopsis thaliana and Brassica napus, including phylogenetic trees for expanded gene families. It contains a table of all Conserved gene families with their respective genes. It also contains the raw results from the prediction of diversifying selection in all gene families.
    Ds Description Date
    2025-01-02
Subject subject
  1. Agricultural Sciences
  2. Medicine, Health and Life Sciences
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    Plant Sciences [202]
  2. Subject Refinement Value
    Basic Research in Biology and Medicine: General Genetics and Functional Genome Biology [201-05]
  3. Subject Refinement Value
    Basic Research in Biology and Medicine: Bioinformatics and Theoretical Biology [201-07]
Free Keyword freeKeyword
  1. Free Keyword Value
    Drought Adaptation
  2. Free Keyword Value
    Candidate Gene Prediction
  3. Free Keyword Value
    Plants
  4. Free Keyword Value
    Genomics
Notes Text notesText
The research article is not yet published. The relation to the publication will be added upon publication of the research article.
Language language
  1. English
Contributor contributor
  1. Contributor Type
    Supervisor
    Contributor Name
    Schoof, Heiko
Depositor depositor
Uebermuth-Feldhaus, Carolin
Date Of Deposit dateOfDeposit
2024-09-17
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    2022
    Date Of Collection End
    2024
Kind Of Data kindOfData
  1. qualitative
  2. quantitative
  3. R code
  4. csv
  5. RData
Software software
  1. Software Name
    A2TEA.Workflow
    Software Version
    v1.0.0
  2. Software Name
    R
    Software Version
    4.4.1
  3. Software Name
    snakemake
    Software Version
    7.0.0
Related Material relatedMaterial
  1. https://doi.org/10.12688/f1000research.126463.2 https://doi.org/10.5281/zenodo.14540009

Computational Workflow Metadata

Workflow Type workflowType
  1. Snakemake
  2. R Notebook
  3. Bash Script

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