Efficient Real-Time Selective Genome Sequencing on Resource-Constrained Devices
<p>This dataset contains the curated nanopore raw signal data in <a href="https://www.nature.com/articles/s41587-021-01147-4">BLOW5 format </a>used to benchmark <a href="https://github.com/beebdev/HARU/">Hardware Accelerated Read Until (HARU)</a>. This dataset was created by using the publicly available datasets: <a href="https://community.artic.network/t/links-to-raw-fast5-fastq-data-for-artic-protocol/17">SARS-CoV-2 SP1</a> (1.382M reads) and <a href="https://ncbi.nlm.nih.gov/sra/SRX11368475">NA12878 PromethION subset</a> (500,000 reads). The tarball when extracted will have the following directory structure:</p> <p>haru-data<br> ├── na12878-rfc1<br> │ ├── blow5-rawsignal<br> │ │ ├── na12878_dna_0.blow5<br> │ │ ├── na12878_dna_100.blow5<br> │ │ ├── na12878_dna_101.blow5<br> │ │ ├── na12878_dna_102.blow5<br> │ │ ├── ...<br> │ └── reference<br> │ └── rfc1.fa<br> └── SARS-CoV-2-sp1<br> ├── blow5-rawsignal<br> │ ├── readgroup0<br> │ │ ├── reads_0_0.blow5<br> │ │ ├── reads_0_10.blow5<br> │ │ ├── reads_0_11.blow5<br> │ │ ├── reads_0_12.blow5<br> │ │ ├── ...<br> │ └── readgroup1<br> │ ├── reads_1_0.blow5<br> │ ├── reads_1_10.blow5<br> │ ├── reads_1_11.blow5<br> │ ├── ....<br> └── reference<br> └── nCoV-2019.reference.fasta</p> <p>nCoV-2019.reference.fasta is the SARS-CoV-2 MN908947.3 reference genome. rfc1.fa is the genomic region hr4:39262456-39391375 extracted from hg38 human genome. </p> <p> </p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0