Procodon: In Vivo Data Storage in Functional Yeast Genes

3.5 GB of sequencing and genomic data supporting research on programmable in vivo data storage. The dataset includes FASTQ files from a recoded YAL032C yeast library at day 0 and day 30, along with supporting files for tasks like data encoding, image simulation, and music encoding. It was authored by Wenfei Yu and last updated on 2026-04-20.

Use Cases

• Benchmarking data encoding and decoding algorithms based on the described codec test tasks.
• Simulating the storage of images or music within biological sequences as referenced in the task descriptions.
• Analyzing the stability of recoded sequences over time based on the day 0 and day 30 FASTQ files.
• Estimating genome encoding capacity using the provided S. cerevisiae CDS sequences and GFF3 annotation example.

Strengths

• Dataset size is 3.5 GB, indicating substantial raw sequencing and supporting data.
• Includes time-series data with FASTQ files from day 0 and day 30 of an experiment.
• Released under the permissive MIT license, facilitating reuse and modification.
• Linked to a specific GitHub repository (Procodon) providing context and task definitions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect experimental bias inherent to the specific yeast strain and recoding methodology used.

Provenance

Source

figshare, associated with the GitHub repository 'WenfeiY/Procodon'.

Collection Method

Likely generated from laboratory experiments involving yeast genome recoding and sequencing.

Freshness

Last updated 2026-04-20 09:33:36; freshness should be verified.