Nominal FAST5/FASTQ Evaluation Data Set

FAST5/FASTQ data used for accuracy characterization of decoding techniques applied to the HEDGEs DNA-information storage code. FASTQ data is used to evaluate the hard-decoding algorithm as explained by Press et al. in (https://doi.org/10.1073/pnas.2004821117). FAST5 data is used in evaluation for both our novel Alignment Matrix soft decoder (https://doi.org/10.5281/zenodo.11454877), and the soft decoder developed by Chandak et al. in the publication (10.1109/ICASSP40776.2020.9053441). Our code repository at https://doi.org/10.5281/zenodo.11454877 includes a GPU accelerated adaptation of Chandak et al.’s algorithm in order to scale analysis on the submitted FAST5 data, and this is the version of code used to evaluate the algorithm’s accuracy and runtime overhead. Within the archive there are several sub-archives. Explanations for each sub-archive can be found for the corresponding archive name within the README.md file.本数据集采用FAST5/FASTQ数据，用于表征应用于HEDGEs DNA信息存储编码的解码技术的精度。其中，FASTQ格式数据用于评估硬解码算法，具体实现方式如Press等人在文献(https://doi.org/10.1073/pnas.2004821117)中所述。FAST5格式数据则用于两项评估：其一为我们提出的新型比对矩阵软解码器（对应文献DOI：10.5281/zenodo.11454877），其二为Chandak等人在文献(10.1109/ICASSP40776.2020.9053441)中开发的软解码器。我们的代码仓库（https://doi.org/10.5281/zenodo.11454877）包含了Chandak等人算法的GPU加速适配版本，以实现对提交的FAST5数据的规模化分析，该版本正是用于评估算法精度与运行时开销的代码版本。 本归档文件包含若干子归档。各子归档的详细说明可在README.md文件中对应归档名称下查阅。