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Updated: Apr 9, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Genomic Resources Notes accepted 1 February 2015 - 31 March 2015
, Wolfgang Arthofer1, Laura Bertini2
1Molecular Ecology Group, Institute of Ecology, University of Innsbruk, Technikerstraße 25, 6020, Innsbruck, Austria.
This study releases publicly available genomic and transcriptome data for the Antarctic plant Colobanthus quitensis, marbled flounder Pseudopleuronectes yokohamae, white campion Silene latifolia, and Tetramorium ants. These resources support diverse evolutionary and ecological research.
Area of Science:
- Genomics
- Transcriptomics
- Bioinformatics
- Evolutionary Biology
Background:
- High-throughput sequencing technologies have generated vast amounts of biological data.
- Data sharing is crucial for advancing scientific discovery and reproducibility.
- Publicly accessible datasets enable research across various biological disciplines.
Purpose of the Study:
- To document the public availability of diverse genomic and transcriptome datasets.
- To provide foundational data for research on adaptation, evolution, and population genetics.
- To facilitate comparative genomics and ecological studies.
Main Methods:
- Raw transcriptome sequence data generation and analysis.
- Draft genome sequencing and assembly.
- Reduced Representation Library (RRL) construction and 454 sequencing.
- RAD-tag sequencing for population genomics.
Main Results:
- Public release of transcriptome data for Colobanthus quitensis under different climates.
- Availability of draft genome and RAD-tag data for Pseudopleuronectes yokohamae.
- Transcriptome resources for Silene latifolia from divergent populations.
- Nuclear DNA markers generated for Tetramorium ant species.
Conclusions:
- The documented datasets represent valuable resources for the scientific community.
- These data will support studies on plant and animal adaptation, evolution, and population structure.
- Open data access accelerates research in genomics and evolutionary biology.
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