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studynis_arms

A repository for all scripts used during the data exploration and visualization of the NIS scan on ARMS data

https://github.com/justinepa/studynis_arms

Science Score: 44.0%

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    CITATION.cff file
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    Low similarity (7.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

A repository for all scripts used during the data exploration and visualization of the NIS scan on ARMS data

Basic Info
  • Host: GitHub
  • Owner: JustinePa
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 135 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme Citation

README.md

studyNIS_ARMS

Project Description

This repository contains scripts and their inputs used for the analysis performed for the manuscript titled "Using the long-term genetic monitoring network ARMS-MBON to detect marine non-indigenous species along the European coasts." (Justine Pagnier, Nauras Daraghmeh, Matthias Obst)

Contents

Scripts

This directory contains the five different scripts used after the manual curation of the NIS list:

  1. processNIScuratedLists.R
    Process the COI and 18S ASVs count tables after curation (i.e., removal of ASVs/mOTUs that did not make it through the taxonomic check or the introduction status check), merge them, and clean them (i.e., remove sampling events where no NIS were detected - empty columns).

  2. graph_taxa.R
    Identify the main phyla and the 5 most widespread NIS and make graphs.

  3. NISperobs.R
    Calculate the number of NIS detected in each observatory (both options possible: all occurrences of all NIS, or occurrences of NIS only in observatories where considered alien).

  4. upSetPlot.R
    Build a phyloseq object to then build an Upset plot (both options possible: all occurrences of all NIS, or occurrences of NIS only in observatories where considered alien).

  5. GBIF_EOO.R
    For NIS potentially detected in new areas, get occurrences from GBIF, map the known area of extent together with occurrences from ARMS observatories to identify one occurring outside.

Inputs

Contains all inputs needed to run the above scripts.

Owner

  • Name: Justine Pagnier
  • Login: JustinePa
  • Kind: user

Citation (citation.cff) 

cff-version: 1.2.0
message: "If you use these scripts, please cite it as below."
authors:
- family-names: "Pagnier"
  given-names: "Justine"
  orcid: "https://orcid.org/0000-0002-6531-1374"
title: "studyNIS_ARMS"
date-released: 2024-20-06
url: "https://github.com/JustinePa/studyNIS_ARMS"

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