cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7928498.v1
title: gVCF_HG03851

description: 1000 Genomes gVCF mapped to hs37d5 for HG03851. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928477
title: gVCF_HG02219

description: 1000 Genomes gVCF mapped to hs37d5 for HG02219. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928471
title: gVCF_NA19324

description: 1000 Genomes gVCF mapped to hs37d5 for NA19324. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928474
title: gVCF_HG03850

description: 1000 Genomes gVCF mapped to hs37d5 for HG03850. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928477.v1
title: gVCF_HG02219

description: 1000 Genomes gVCF mapped to hs37d5 for HG02219. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928480
title: RCCPII Data

description: RCCPII Data==========<br>This data set was created as part of the South African Rural Campuses Connection Project II (RCCPII) capacity development initiative. More information about the project can be found at https://tenet-rccpii.github.io/rccpii-2018.<br>RCCPII consisted of a two-pronged approach for bringing connectivity to rural and peri-urban campuses of publicly funded academic and research institutions in South Africa. The first component was to provide physical infrastructure to facilitate connectivity. The second component was the capacity development initiative. A theory of change document describing the capacity development initiative is available at https://tenet-rccpii.github.io/rccpii-2018/images/RCCPII_ToC2018-03-12.pdf.<br><br>Data Content:==========<br>The data represents information about activities and beneficiaries of the RCCPII capacity development initiative between January 2018 and March 2019. Four comma separated value (CSV) files make up the total dataset. Each datafile has its own README to describe specific content in more details. <br>- activities.csv: all capacity development activities that took place between January 2018 and March 2019 under the banner of RCCPII.- affiliations.csv: a list of organisations to which participants belonged.- beneficiaries_anonymised.csv: a list of participants in the RCCPII capacity development activities where names have been removed and unique identifiers have been assigned.- participation.csv: a file showing which participants (unique identifier) participated in which activities and whether participation was in person or online.<br><br>Relations of data files:=================<br>beneficiaries_anonymised.csv with participation.csv: through “identifier”beneficiaries_anonymised.cs with affiliations.csv: through “affiliation” and “campus”participation.csv with activities.csv: through “activity_id”<br><br>Definitions:=========- Beneficiaries: Anyone who had participated in RCCPII activities as we believe that everyone learned by being involved in this programme. That includes trainers, organisers, instructors, hosts, presenters, and participants (or learners)<br><br>Funding and Partners:=================<br>RCCPII was funded by the South African Department of Higher Education and Training, managed by Universities South Africa, and implemented by the Tertiary Education and Research Network of South Africa. Talarify was contracted to manage the capacity development initiative from January 2018 until March 2019.<br><br>Contact Details:============<br>The RCCPII project came to a completion in March 2019. <br>For any questions about the data or project, please email rccpii@googlegroups.com.<br>Project members have moved on to new roles, but we will try to respond to communication to this address.<br>
DOI: 10.6084/m9.figshare.7928492.v1
title: gVCF_HG02220

description: 1000 Genomes gVCF mapped to hs37d5 for HG02220. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928468
title: gVCF_HG02215

description: 1000 Genomes gVCF mapped to hs37d5 for HG02215. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928471.v1
title: gVCF_NA19324

description: 1000 Genomes gVCF mapped to hs37d5 for NA19324. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928462
title: gVCF_NA19323

description: 1000 Genomes gVCF mapped to hs37d5 for NA19323. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928465
title: gVCF_HG03849

description: 1000 Genomes gVCF mapped to hs37d5 for HG03849. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928465.v1
title: gVCF_HG03849

description: 1000 Genomes gVCF mapped to hs37d5 for HG03849. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928468.v1
title: gVCF_HG02215

description: 1000 Genomes gVCF mapped to hs37d5 for HG02215. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928480.v1
title: RCCPII Data

description: RCCPII Data==========<br>This data set was created as part of the South African Rural Campuses Connection Project II (RCCPII) capacity development initiative. More information about the project can be found at https://tenet-rccpii.github.io/rccpii-2018.<br>RCCPII consisted of a two-pronged approach for bringing connectivity to rural and peri-urban campuses of publicly funded academic and research institutions in South Africa. The first component was to provide physical infrastructure to facilitate connectivity. The second component was the capacity development initiative. A theory of change document describing the capacity development initiative is available at https://tenet-rccpii.github.io/rccpii-2018/images/RCCPII_ToC2018-03-12.pdf.<br><br>Data Content:==========<br>The data represents information about activities and beneficiaries of the RCCPII capacity development initiative between January 2018 and March 2019. Four comma separated value (CSV) files make up the total dataset. Each datafile has its own README to describe specific content in more details. <br>- activities.csv: all capacity development activities that took place between January 2018 and March 2019 under the banner of RCCPII.- affiliations.csv: a list of organisations to which participants belonged.- beneficiaries_anonymised.csv: a list of participants in the RCCPII capacity development activities where names have been removed and unique identifiers have been assigned.- participation.csv: a file showing which participants (unique identifier) participated in which activities and whether participation was in person or online.<br><br>Relations of data files:=================<br>beneficiaries_anonymised.csv with participation.csv: through “identifier”beneficiaries_anonymised.cs with affiliations.csv: through “affiliation” and “campus”participation.csv with activities.csv: through “activity_id”<br><br>Definitions:=========- Beneficiaries: Anyone who had participated in RCCPII activities as we believe that everyone learned by being involved in this programme. That includes trainers, organisers, instructors, hosts, presenters, and participants (or learners)<br><br>Funding and Partners:=================<br>RCCPII was funded by the South African Department of Higher Education and Training, managed by Universities South Africa, and implemented by the Tertiary Education and Research Network of South Africa. Talarify was contracted to manage the capacity development initiative from January 2018 until March 2019.<br><br>Contact Details:============<br>The RCCPII project came to a completion in March 2019. <br>For any questions about the data or project, please email rccpii@googlegroups.com.<br>Project members have moved on to new roles, but we will try to respond to communication to this address.<br>
DOI: 10.6084/m9.figshare.7928462.v1
title: gVCF_NA19323

description: 1000 Genomes gVCF mapped to hs37d5 for NA19323. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928351
title: gVCF_HG03848

description: 1000 Genomes gVCF mapped to hs37d5 for HG03848. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928369
title: gVCF_HG02190

description: 1000 Genomes gVCF mapped to hs37d5 for HG02190. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928351.v1
title: gVCF_HG03848

description: 1000 Genomes gVCF mapped to hs37d5 for HG03848. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928369.v1
title: gVCF_HG02190

description: 1000 Genomes gVCF mapped to hs37d5 for HG02190. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928342
title: gVCF_HG03846

description: 1000 Genomes gVCF mapped to hs37d5 for HG03846. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928345
title: gVCF_HG02188

description: 1000 Genomes gVCF mapped to hs37d5 for HG02188. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928348
title: gVCF_NA19321

description: 1000 Genomes gVCF mapped to hs37d5 for NA19321. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928348.v1
title: gVCF_NA19321

description: 1000 Genomes gVCF mapped to hs37d5 for NA19321. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928342.v1
title: gVCF_HG03846

description: 1000 Genomes gVCF mapped to hs37d5 for HG03846. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928345.v1
title: gVCF_HG02188

description: 1000 Genomes gVCF mapped to hs37d5 for HG02188. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928324
title: gVCF_NA19320

description: 1000 Genomes gVCF mapped to hs37d5 for NA19320. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928315
title: gVCF_HG03845

description: 1000 Genomes gVCF mapped to hs37d5 for HG03845. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928324.v1
title: gVCF_NA19320

description: 1000 Genomes gVCF mapped to hs37d5 for NA19320. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928306
title: gVCF_NA19318

description: 1000 Genomes gVCF mapped to hs37d5 for NA19318. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928312
title: gVCF_NA19319

description: 1000 Genomes gVCF mapped to hs37d5 for NA19319. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928318
title: gVCF_HG02187

description: 1000 Genomes gVCF mapped to hs37d5 for HG02187. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928306.v1
title: gVCF_NA19318

description: 1000 Genomes gVCF mapped to hs37d5 for NA19318. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928309
title: gVCF_HG02186

description: 1000 Genomes gVCF mapped to hs37d5 for HG02186. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928312.v1
title: gVCF_NA19319

description: 1000 Genomes gVCF mapped to hs37d5 for NA19319. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928315.v1
title: gVCF_HG03845

description: 1000 Genomes gVCF mapped to hs37d5 for HG03845. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928318.v1
title: gVCF_HG02187

description: 1000 Genomes gVCF mapped to hs37d5 for HG02187. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928294
title: gVCF_NA19317

description: 1000 Genomes gVCF mapped to hs37d5 for NA19317. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928303
title: gVCF_HG03844

description: 1000 Genomes gVCF mapped to hs37d5 for HG03844. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928309.v1
title: gVCF_HG02186

description: 1000 Genomes gVCF mapped to hs37d5 for HG02186. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928300
title: gVCF_HG02185

description: 1000 Genomes gVCF mapped to hs37d5 for HG02185. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928303.v1
title: gVCF_HG03844

description: 1000 Genomes gVCF mapped to hs37d5 for HG03844. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928288
title: gVCF_HG02184

description: 1000 Genomes gVCF mapped to hs37d5 for HG02184. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928294.v1
title: gVCF_NA19317

description: 1000 Genomes gVCF mapped to hs37d5 for NA19317. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928300.v1
title: gVCF_HG02185

description: 1000 Genomes gVCF mapped to hs37d5 for HG02185. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928285
title: gVCF_HG03838

description: 1000 Genomes gVCF mapped to hs37d5 for HG03838. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928288.v1
title: gVCF_HG02184

description: 1000 Genomes gVCF mapped to hs37d5 for HG02184. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928246
title: gVCF_HG02182

description: 1000 Genomes gVCF mapped to hs37d5 for HG02182. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928249
title: gVCF_NA19316

description: 1000 Genomes gVCF mapped to hs37d5 for NA19316. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928249.v1
title: gVCF_NA19316

description: 1000 Genomes gVCF mapped to hs37d5 for NA19316. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928285.v1
title: gVCF_HG03838

description: 1000 Genomes gVCF mapped to hs37d5 for HG03838. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.5281/zenodo.4004062
title: Illumina short read DNA-seq of Solanum habrochaites PI127826 and LA1777 DNA

description: Illumina paired-end HiSeqX reads from the genomic DNA isolated from young leaves of three plants from S. habrochaites: Solanum habrochaites PI127826 Solanum habrochaites LA1777 (wild-type) Solanum habrochaites LA1777 X-ray mutated to allow self-compatibility <strong>Variant Call Format file (VCF files)</strong> Variants have been called from this DNA-seq file using the Solanum lycopersicum ITAG4.0 genome assembly and a custom-made [variant-calling pipeline] (https://github.com/BleekerLab/freebayes_snp_calling/releases/tag/v0.1.0). S. habrochaites PI127826 variants: [PI127826.vcf.tar.gz](https://zenodo.org/api/files/5ff35841-acab-43cc-842f-2f140ccc0ba6/PI127826.vcf.tar.gz)
DOI: 10.6084/m9.figshare.7928237
title: gVCF_HG03837

description: 1000 Genomes gVCF mapped to hs37d5 for HG03837. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928246.v1
title: gVCF_HG02182

description: 1000 Genomes gVCF mapped to hs37d5 for HG02182. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928234
title: gVCF_HG02181

description: 1000 Genomes gVCF mapped to hs37d5 for HG02181. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928231
title: gVCF_NA19315

description: 1000 Genomes gVCF mapped to hs37d5 for NA19315. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928237.v1
title: gVCF_HG03837

description: 1000 Genomes gVCF mapped to hs37d5 for HG03837. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928228
title: gVCF_HG03836

description: 1000 Genomes gVCF mapped to hs37d5 for HG03836. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928234.v1
title: gVCF_HG02181

description: 1000 Genomes gVCF mapped to hs37d5 for HG02181. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928225
title: YeastTRN3D-SupplementaryData.xlsx

description: The reconstructed transcriptional regulatory network of <i>Saccharomyces cerevisiae</i>.
DOI: 10.6084/m9.figshare.7928231.v1
title: gVCF_NA19315

description: 1000 Genomes gVCF mapped to hs37d5 for NA19315. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928213
title: gVCF_HG03833

description: 1000 Genomes gVCF mapped to hs37d5 for HG03833. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928216
title: Genome-wide DNA methylation differences according to oestrogen receptor beta status in colorectal cancer

description: Involvement of sex hormones in colorectal cancer (CRC) development has been linked to oestrogen receptor β (ERβ). Expression of ERβ is found reduced in tumour tissue and inversely related to mortality. However, mechanisms are not well understood. Our study aimed to detect differentially methylated genes associated with ERβ expression, which could point to mechanisms by which ERβ could influence risk and prognosis of CRC. Epigenome-wide DNA methylation profiling was performed using Illumina HumanMethylation450k BeadChip arrays in two independent tumour sample sets of CRC patients recruited in 2003–2010 by the German DACHS study (discovery cohort n = 917, replication cohort n = 907). ERβ expression was measured using immunohistochemistry and scored as negative, moderate and high. Differentially methylated CpG sites and genomic regions were determined using limma in the R-package RnBeads. For the comparison of tumours with moderate/high ERβ versus negative expression, differentially methylated CpG sites were identified but not confirmed by replication. Comparing tumours of high with tumours of negative ERβ expression revealed 2,904 differentially methylated CpG sites of which 403 were replicated (FDR adjusted p-value&lt;0.05). Replicated CpGs were annotated to genes such as CD36, HK1 or LRP5. A survival analysis indicates that 30 of the replicated CpGs are also associated with overall survival (FDR-adjusted p-value&lt;0.05). The regional analysis identified 60 differentially methylated promotor regions. The epigenome-wide analysis identified both novel genes as well as genes already implicated in CRC. Follow-up mechanistic studies to better understand the regulatory role of ERβ could inform potential targets for improving treatment or prevention of CRC.
DOI: 10.6084/m9.figshare.7928219
title: gVCF_HG02180

description: 1000 Genomes gVCF mapped to hs37d5 for HG02180. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928228.v1
title: gVCF_HG03836

description: 1000 Genomes gVCF mapped to hs37d5 for HG03836. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928210
title: gVCF_NA19314

description: 1000 Genomes gVCF mapped to hs37d5 for NA19314. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928216.v1
title: Genome-wide DNA methylation differences according to oestrogen receptor beta status in colorectal cancer

description: Involvement of sex hormones in colorectal cancer (CRC) development has been linked to oestrogen receptor β (ERβ). Expression of ERβ is found reduced in tumour tissue and inversely related to mortality. However, mechanisms are not well understood. Our study aimed to detect differentially methylated genes associated with ERβ expression, which could point to mechanisms by which ERβ could influence risk and prognosis of CRC. Epigenome-wide DNA methylation profiling was performed using Illumina HumanMethylation450k BeadChip arrays in two independent tumour sample sets of CRC patients recruited in 2003–2010 by the German DACHS study (discovery cohort n = 917, replication cohort n = 907). ERβ expression was measured using immunohistochemistry and scored as negative, moderate and high. Differentially methylated CpG sites and genomic regions were determined using limma in the R-package RnBeads. For the comparison of tumours with moderate/high ERβ versus negative expression, differentially methylated CpG sites were identified but not confirmed by replication. Comparing tumours of high with tumours of negative ERβ expression revealed 2,904 differentially methylated CpG sites of which 403 were replicated (FDR adjusted p-value&lt;0.05). Replicated CpGs were annotated to genes such as CD36, HK1 or LRP5. A survival analysis indicates that 30 of the replicated CpGs are also associated with overall survival (FDR-adjusted p-value&lt;0.05). The regional analysis identified 60 differentially methylated promotor regions. The epigenome-wide analysis identified both novel genes as well as genes already implicated in CRC. Follow-up mechanistic studies to better understand the regulatory role of ERβ could inform potential targets for improving treatment or prevention of CRC.
DOI: 10.6084/m9.figshare.7928219.v1
title: gVCF_HG02180

description: 1000 Genomes gVCF mapped to hs37d5 for HG02180. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928195
title: gVCF_HG03832

description: 1000 Genomes gVCF mapped to hs37d5 for HG03832. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928204
title: gVCF_HG02179

description: 1000 Genomes gVCF mapped to hs37d5 for HG02179. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928210.v1
title: gVCF_NA19314

description: 1000 Genomes gVCF mapped to hs37d5 for NA19314. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928213.v1
title: gVCF_HG03833

description: 1000 Genomes gVCF mapped to hs37d5 for HG03833. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928189
title: gVCF_NA19313

description: 1000 Genomes gVCF mapped to hs37d5 for NA19313. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928195.v1
title: gVCF_HG03832

description: 1000 Genomes gVCF mapped to hs37d5 for HG03832. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928204.v1
title: gVCF_HG02179

description: 1000 Genomes gVCF mapped to hs37d5 for HG02179. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928180
title: gVCF_NA19312

description: 1000 Genomes gVCF mapped to hs37d5 for NA19312. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928183
title: gVCF_HG03830

description: 1000 Genomes gVCF mapped to hs37d5 for HG03830. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928183.v1
title: gVCF_HG03830

description: 1000 Genomes gVCF mapped to hs37d5 for HG03830. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928186
title: gVCF_HG02178

description: 1000 Genomes gVCF mapped to hs37d5 for HG02178. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928177
title: gVCF_HG02166

description: 1000 Genomes gVCF mapped to hs37d5 for HG02166. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928186.v1
title: gVCF_HG02178

description: 1000 Genomes gVCF mapped to hs37d5 for HG02178. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7928189.v1
title: gVCF_NA19313

description: 1000 Genomes gVCF mapped to hs37d5 for NA19313. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307