[DataCap Application] <Illumina> - <Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2>

### Data Owner Name

1000 Genomes

### Data Owner Country/Region

United States

### Data Owner Industry

Life Science / Healthcare

### Website

https://support.illumina.com/sequencing/sequencing_software/dragen-bio-it-platform.html

### Social Media Handle

support@illumina.com

### Social Media Type

Other

### What is your role related to the dataset

Data Preparer

### Total amount of DataCap being requested

9.6PiB

### Expected size of single dataset (one copy)

1.2PiB

### Number of replicas to store

8

### Weekly allocation of DataCap requested

1PiB

### On-chain address for first allocation

f1i7liy2zu7nfi5crqhpm65qlaz7o35rkw6tfnxxq

### Data Type of Application

Public, Open Dataset (Research/Non-Profit)

### Custom multisig

- [ ] Use Custom Multisig

### Identifier

_No response_

### Share a brief history of your project and organization

```text
All DRAGEN analyses were performed in the cloud using the Illumina Connected Analytics bioinformatics platform powered by Amazon Web Services (see 'Data solution empowering population genomics' for more information). The v3.7.6 and v4.2.7 datasets include results from trio small variant, de novo structural variant and de novo copy number variant calls on 602 trio families comprised of members from the 1000 Genomes Project Phase 3 dataset. Trio repeat expansion calling was included in the v3.7.6 dataset only. Joint cohort analysis was also performed on the entire 1KGP sample dataset (n=3202) for the v3.7.6, v4.0.3, and v4.2.7 reanalyses using DRAGEN GVCF Genotyper v3.8.3, v4.2.0, and v4.2.7, respectively (see 'Genotyping variants at population scale using DRAGEN gVCF Genotyper').
```

### Is this project associated with other projects/ecosystem stakeholders?

No

### If answered yes, what are the other projects/ecosystem stakeholders

```text

```

### Describe the data being stored onto Filecoin

```text
BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, metrics and other supporting files from DRAGEN v3.5.6b analyses in a public S3 bucket.

BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2d6-tsv, metrics and other supporting files from DRAGEN v3.7.6 analyses in a public S3 bucket.


CRAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2b6-tsv, cyp2d6-tsv, gba-tsv, smn-tsv, star-allele-tsv, metrics and other supporting files from DRAGEN v4.0.3 analyses and Nirvana Annotation in a public S3 bucket.

CRAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2b6-tsv, cyp2d6-tsv, gba-tsv, smn-tsv, star-allele-tsv, hla-tsv, gvcf, json, metrics and other supporting files from DRAGEN v4.2.7 analyses and Nirvana Annotation in a public S3 bucket.
```

### Where was the data currently stored in this dataset sourced from

AWS Cloud

### If you answered "Other" in the previous question, enter the details here

```text

```

### If you are a data preparer. What is your location (Country/Region)

Hong Kong

### If you are a data preparer, how will the data be prepared? Please include tooling used and technical details?

```text
We used the Go language to develop a set of tools that automatically download, cut, package data, and place orders. The tool will download the data set file from AWS, package the data set into a car file of the corresponding size by setting parameters such as sector size, and then distribute the car file to each SP through bandwidth and hard disk mail. Then, we use Boost to issue orders offline to let the SP start packaging using the Boost.
```

### If you are not preparing the data, who will prepare the data?  (Provide name and business)

```text

```

### Has this dataset been stored on the Filecoin network before? If so, please explain and make the case why you would like to store this dataset again to the network. Provide details on preparation and/or SP distribution.

```text
No,
```

### Please share a sample of the data

```text
aws s3 ls --no-sign-request s3://1000genomes-dragen/ 354.3269 TiB
aws s3 ls --no-sign-request s3://1000genomes-dragen-3.7.6/ 342.6459 TiB
aws s3 ls --no-sign-request s3://1000genomes-dragen-v3.7.6/（Duplicate） 342.6459 TiB
aws s3 ls --no-sign-request s3://1000genomes-dragen-v4.0.3/ 114.2916 TiB
aws s3 ls --no-sign-request s3://1000genomes-dragen-v4-2-7/ 69.5511 TiB
```

### Confirm that this is a public dataset that can be retrieved by anyone on the Network

- [x] I confirm

### If you chose not to confirm, what was the reason

```text

```

### What is the expected retrieval frequency for this data

Yearly

### For how long do you plan to keep this dataset stored on Filecoin

2 to 3 years

### In which geographies do you plan on making storage deals

Asia other than Greater China, North America, South America, Europe

### How will you be distributing your data to storage providers

HTTP or FTP server

### How did you find your storage providers

Partners

### If you answered "Others" in the previous question, what is the tool or platform you used

```text

```

### Please list the provider IDs and location of the storage providers you will be working with.

```text
f03637821 Germany
f03637813 Brazil
f03649204 HongKong
f03649212 HongKong
f03649217 Singapore
f03649227 Singapore
f03641974 Vietnam
f03641955 Germany
f03099888 Germany 
f03100088 United States
f03099287 Brazil
f03098965 Singapore
f03099101 Singapore
f03099008 Vietnam

new 
f03100014 Hong Kong (ACTIVE)
f03099777 Germany (ACTIVE)
```

### How do you plan to make deals to your storage providers

Boost client

### If you answered "Others/custom tool" in the previous question, enter the details here

```text

```

### Can you confirm that you will follow the Fil+ guideline

Yes

[DataCap Application] <Illumina> - <Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2> #58

Description

Data Owner Name

Data Owner Country/Region

Data Owner Industry

Website

Social Media Handle

Social Media Type

What is your role related to the dataset

Total amount of DataCap being requested

Expected size of single dataset (one copy)

Number of replicas to store

Weekly allocation of DataCap requested

On-chain address for first allocation

Data Type of Application

Custom multisig

Identifier

Share a brief history of your project and organization

Is this project associated with other projects/ecosystem stakeholders?

If answered yes, what are the other projects/ecosystem stakeholders

Describe the data being stored onto Filecoin

Where was the data currently stored in this dataset sourced from

If you answered "Other" in the previous question, enter the details here

If you are a data preparer. What is your location (Country/Region)

If you are a data preparer, how will the data be prepared? Please include tooling used and technical details?

If you are not preparing the data, who will prepare the data? (Provide name and business)

Has this dataset been stored on the Filecoin network before? If so, please explain and make the case why you would like to store this dataset again to the network. Provide details on preparation and/or SP distribution.

Please share a sample of the data

Confirm that this is a public dataset that can be retrieved by anyone on the Network

If you chose not to confirm, what was the reason

What is the expected retrieval frequency for this data

For how long do you plan to keep this dataset stored on Filecoin

In which geographies do you plan on making storage deals

How will you be distributing your data to storage providers

How did you find your storage providers

If you answered "Others" in the previous question, what is the tool or platform you used

Please list the provider IDs and location of the storage providers you will be working with.

How do you plan to make deals to your storage providers

If you answered "Others/custom tool" in the previous question, enter the details here

Can you confirm that you will follow the Fil+ guideline

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