Automated Author Profile

Babate, Faustino Jerome G

Filipino Nursing Diaspora Network

Current S-Index

1.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

88.5%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

OurDNA dataset (Version: 1.0.0)

The OurDNA dataset is composed of harmonised, aggregated genome and exome sequences from the OurDNA program and provides the foundational reference set used by the OurDNA browser. The OurDNA program is a flagship initiative of the Centre for Population Genomics to increase the genomic representation of Australian multicultural communities. The OurDNA program aims to aggregate and share genetic variation data from over 20,000 Australians, including 8,000 new high-quality whole genome sequences from participants from genomically underrepresented groups recruited following participatory community engagement. The OurDNA Browser is a resource intended for clinicians and researchers with formal training in genetics and genomics who understand the limitations of population genetic data. Use of the dataset is subject to conditions of use as outlined in OurDNA browser policies.The OurDNA dataset v1 (GRCh38) includes 12,882 individuals:10,671 exomes2,211 genomesShort variantsTotal SNVs: 57,322,471Total INDELs: 4,567,608Variant type countsSynonymous: 719,413Missense: 1,321,931Nonsense: 35,735Frameshift: 36,991Canonical splice site: 33,237Versioned, aggregate data are available for download. Download instructions are provided on the OurDNA browser.MethodsThe OurDNA dataset contains individuals sequenced using a mix of exome and genome capture methods and sequencing chemistries, so coverage varies between individuals and across sites. This variation in coverage is incorporated into the variant frequency calculations for each variant. Data were QCed and analyzed using the Hail open-source framework for scalable genetic analysis.All of the raw data from contributing projects and the OurDNA project have been (re)processed through equivalent pipelines to increase consistency across projects. Short-read whole genome sequencing data was processed according to the DRAGEN-GATK Best Practices guidelines. This includes alignment to GRCh38 using the open-source DRAGEN mapper (DRAGMAP, v1.3.0), and variant calling with GATK v4.2.6.1 HaplotypeCaller to discover single-nucleotide variants (SNVs) and insertion-deletions (indels). All samples were aggregated using the hail gVCF Combiner, and then sample and variant quality control was performed on the joint call set in line with gnomAD best practices.FundingGarvan Institute of Medical Research (https://ror.org/01b3dvp57) and Murdoch Children’s Research Institute (https://ror.org/048fyec77) contribute to the development of this resource via their significant funding support for the Centre for Population Genomics, enabled through the generosity of donors.Funding for this research has also been provided by the Australian Government’s Medical Research Future Fund (MRFF) grant 2015969 (CIA Daniel MacArthur; 2022-2027) from the Genomics Health Futures Mission and by the National Health and Medical Research Council (NHMRC, https://ror.org/011kf5r70) investigator grant 2009982 (CIA Daniel MacArthur; 2022-2026).The contents of this published material are solely the responsibility of the authors and do not reflect the views of the Commonwealth of Australia or the NHMRC.

Authors

  • Richards, Christopher ;
  • de Lange, Katrina ;
  • Piscionere, Jennifer ;
  • Bobowik, Katalina S ;
  • Bodemer, Daniela ;
  • Cantsilieris, Stuart ;
  • Coates, Dan ;
  • Croy, Samantha ;
  • Dang, Zuong ;
  • Harper, Michael ;
  • Madala, Bindu Swapna ;
  • Miniter, Amy ;
  • Schmidt, Joshua ;
  • Seesink, Luke ;
  • Shouly, Rafal ;
  • Silk, Michael ;
  • Stuckey, Alex ;
  • Terrill, Bronwyn ;
  • Uren, Caitlin ;
  • Vanevski, Marijana ;
  • Ambegaokar, Maia ;
  • Bakiris, Vivian ;
  • Crawford, Lisa ;
  • Esposito, Daniel C ;
  • Franklin, Michael K ;
  • Gruenschloss, Leonhard ;
  • Sansom, Sally L ;
  • Hyben, Miloslav ;
  • Krishnakumar, Chethana ;
  • Morrison, Caitlin ;
  • Nicholas, Hannah R ;
  • Penaia, Shenei ;
  • Pinho, Andreia ;
  • Rius, Rocio ;
  • Savelyev, Vladislav ;
  • Simons, Cas ;
  • Stewart, Natalie P ;
  • Tsimiklis, Helen ;
  • Wang, Ya ;
  • Wedd, Laura ;
  • Yeates, Laura M ;
  • Alansari, Basim ;
  • Babate, Faustino Jerome G ;
  • Bartolome, Cesar ;
  • Cho, Joyce ;
  • Cichello, Mila A ;
  • Coombe, Sylvia A ;
  • Kalbesa, Abdisa A ;
  • Kerr, Dina ;
  • Liston, Maria Grace ;
  • Mustapha, Naseema ;
  • Nabi, Saba ;
  • Pham, Anh Linh ;
  • Raya Martinez, Nidia ;
  • Santiago, Lee Maureen ;
  • Tran, V.B.B ;
  • Velasquez, Gloria T ;
  • Boughtwood, Tiffany F ;
  • Geronimo, Mary Ann ;
  • Ingles, Jodie ;
  • Kanagalingam, Sanji ;
  • Marning, Jane ;
  • Southey, Melissa C ;
  • Vears, Danya F ;
  • Young, Mary-Anne ;
  • Delatycki, Martin ;
  • Figtree, Gemma ;
  • Hewitt, Alex ;
  • Kirk, Edwin P ;
  • Laing, Nigel G ;
  • MacArthur, Daniel G
0 Citations0 Mentions88% FAIR0.5 Dataset Index
10.5281/zenodo.152997172025

OurDNA dataset (Version: 1.0.0)

The OurDNA dataset is composed of harmonised, aggregated genome and exome sequences from the OurDNA program and provides the foundational reference set used by the OurDNA browser. The OurDNA program is a flagship initiative of the Centre for Population Genomics to increase the genomic representation of Australian multicultural communities. The OurDNA program aims to aggregate and share genetic variation data from over 20,000 Australians, including 8,000 new high-quality whole genome sequences from participants from genomically underrepresented groups recruited following participatory community engagement. The OurDNA Browser is a resource intended for clinicians and researchers with formal training in genetics and genomics who understand the limitations of population genetic data. Use of the dataset is subject to conditions of use as outlined in OurDNA browser policies.The OurDNA dataset v1 (GRCh38) includes 12,882 individuals:10,671 exomes2,211 genomesShort variantsTotal SNVs: 57,322,471Total INDELs: 4,567,608Variant type countsSynonymous: 719,413Missense: 1,321,931Nonsense: 35,735Frameshift: 36,991Canonical splice site: 33,237Versioned, aggregate data are available for download. Download instructions are provided on the OurDNA browser.MethodsThe OurDNA dataset contains individuals sequenced using a mix of exome and genome capture methods and sequencing chemistries, so coverage varies between individuals and across sites. This variation in coverage is incorporated into the variant frequency calculations for each variant. Data were QCed and analyzed using the Hail open-source framework for scalable genetic analysis.All of the raw data from contributing projects and the OurDNA project have been (re)processed through equivalent pipelines to increase consistency across projects. Short-read whole genome sequencing data was processed according to the DRAGEN-GATK Best Practices guidelines. This includes alignment to GRCh38 using the open-source DRAGEN mapper (DRAGMAP, v1.3.0), and variant calling with GATK v4.2.6.1 HaplotypeCaller to discover single-nucleotide variants (SNVs) and insertion-deletions (indels). All samples were aggregated using the hail gVCF Combiner, and then sample and variant quality control was performed on the joint call set in line with gnomAD best practices.FundingGarvan Institute of Medical Research (https://ror.org/01b3dvp57) and Murdoch Children’s Research Institute (https://ror.org/048fyec77) contribute to the development of this resource via their significant funding support for the Centre for Population Genomics, enabled through the generosity of donors.Funding for this research has also been provided by the Australian Government’s Medical Research Future Fund (MRFF) grant 2015969 (CIA Daniel MacArthur; 2022-2027) from the Genomics Health Futures Mission and by the National Health and Medical Research Council (NHMRC, https://ror.org/011kf5r70) investigator grant 2009982 (CIA Daniel MacArthur; 2022-2026).The contents of this published material are solely the responsibility of the authors and do not reflect the views of the Commonwealth of Australia or the NHMRC.

Authors

  • Richards, Christopher ;
  • de Lange, Katrina ;
  • Piscionere, Jennifer ;
  • Bobowik, Katalina S ;
  • Bodemer, Daniela ;
  • Cantsilieris, Stuart ;
  • Coates, Dan ;
  • Croy, Samantha ;
  • Dang, Zuong ;
  • Harper, Michael ;
  • Madala, Bindu Swapna ;
  • Miniter, Amy ;
  • Schmidt, Joshua ;
  • Seesink, Luke ;
  • Shouly, Rafal ;
  • Silk, Michael ;
  • Stuckey, Alex ;
  • Terrill, Bronwyn ;
  • Uren, Caitlin ;
  • Vanevski, Marijana ;
  • Ambegaokar, Maia ;
  • Bakiris, Vivian ;
  • Crawford, Lisa ;
  • Esposito, Daniel C ;
  • Franklin, Michael K ;
  • Gruenschloss, Leonhard ;
  • Sansom, Sally L ;
  • Hyben, Miloslav ;
  • Krishnakumar, Chethana ;
  • Morrison, Caitlin ;
  • Nicholas, Hannah R ;
  • Penaia, Shenei ;
  • Pinho, Andreia ;
  • Rius, Rocio ;
  • Savelyev, Vladislav ;
  • Simons, Cas ;
  • Stewart, Natalie P ;
  • Tsimiklis, Helen ;
  • Wang, Ya ;
  • Wedd, Laura ;
  • Yeates, Laura M ;
  • Alansari, Basim ;
  • Babate, Faustino Jerome G ;
  • Bartolome, Cesar ;
  • Cho, Joyce ;
  • Cichello, Mila A ;
  • Coombe, Sylvia A ;
  • Kalbesa, Abdisa A ;
  • Kerr, Dina ;
  • Liston, Maria Grace ;
  • Mustapha, Naseema ;
  • Nabi, Saba ;
  • Pham, Anh Linh ;
  • Raya Martinez, Nidia ;
  • Santiago, Lee Maureen ;
  • Tran, V.B.B ;
  • Velasquez, Gloria T ;
  • Boughtwood, Tiffany F ;
  • Geronimo, Mary Ann ;
  • Ingles, Jodie ;
  • Kanagalingam, Sanji ;
  • Marning, Jane ;
  • Southey, Melissa C ;
  • Vears, Danya F ;
  • Young, Mary-Anne ;
  • Delatycki, Martin ;
  • Figtree, Gemma ;
  • Hewitt, Alex ;
  • Kirk, Edwin P ;
  • Laing, Nigel G ;
  • MacArthur, Daniel G
0 Citations0 Mentions88% FAIR0.5 Dataset Index
10.5281/zenodo.152997162025