# GINSA: an accumulator for paired locality and next-generation small ribosomal subunit sequence data

**Authors:** Eric Odle, Samuel Kahng, Siratee Riewluang, Kyoko Kurihara, Kevin C Wakeman

PMC · DOI: 10.1093/bioinformatics/btae152 · Bioinformatics · 2024-03-19

## TL;DR

GINSA is a Python tool that automatically links small ribosomal subunit sequences with their geographic locations using global biodiversity data.

## Contribution

The novelty lies in automatically linking decentralized genetic data with locality information using global biodiversity infrastructure.

## Key findings

- GINSA demonstrates broad applicability across different taxonomic levels and dataset sizes.
- The tool is freely available and can be easily installed via pip from PyPI.

## Abstract

Motivated by the challenges of decentralized genetic data spread across multiple international organizations, GINSA leverages the Global Biodiversity Information Facility infrastructure to automatically retrieve and link small ribosomal subunit sequences with locality information.

Testing on taxa from major organism groups demonstrates broad applicability across taxonomic levels and dataset sizes.

GINSA is a freely accessible Python program under the MIT License and can be installed from PyPI via pip.

## Full-text entities

- **Chemicals:** FASTA (-)
- **Species:** Tetraselmis marina (species) [taxon 41888], Chrysymenia brownii (species) [taxon 1826826], Lecudina tuzetae (species) [taxon 198479], Altibacter lentus (species) [taxon 1223410], Aneura mirabilis (species) [taxon 280810], Homo sapiens (human, species) [taxon 9606], Malassezia globosa (species) [taxon 76773], Lecudina longissima (species) [taxon 672924]

## Full text

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## Figures

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## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC10987208/full.md

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Source: https://tomesphere.com/paper/PMC10987208