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Updated: Jun 30, 2025

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
Published on: March 22, 2018
GINSA: an accumulator for paired locality and next-generation small ribosomal subunit sequence data
Eric Odle1, Samuel Kahng2,3, Siratee Riewluang1
1Department of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan.
Motivation:
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.
Results:
Testing on taxa from major organism groups demonstrates broad applicability across taxonomic levels and dataset sizes.
Availability And Implementation:
GINSA is a freely accessible Python program under the MIT License and can be installed from PyPI via pip.
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