Published July 10, 2026
| Version v1
Dataset
Open
Cystofilobasidium Genome Sequencing and Assembly
Creators
-
1.
University of Tübingen
Description
This repository contains experimental data, metadata, protocols, computational workflows, and genome assemblies generated for multiple Cystofilobasidium yeast strains.
The project follows the Annotated Research Context (ARC) framework to ensure traceability from biological material through sequencing and genome assembly to final analysis outputs. The primary objective is to generate high-quality genome assemblies using complementary long-read and short-read sequencing technologies.
Files
cystofilobasidium-genome-assembly.FDAT_release_v1.zip
Files
(44.3 GB)
| Name | Size | Download all |
|---|---|---|
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md5:a76cba3936b1fb6798cacf6cd8518ed1
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44.3 GB | Preview Download |
Additional details
Data quality
- Accuracy
- This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Completeness
- This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Conformity
- This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Consistency
- This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Credibility
- This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Processability
- This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Relevance
- This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Timeliness
- This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Understandability
- This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.