33,620 datasets found

  • Kiritimati Island Fossil Reef Radiocarbon Ages

    The University of Auckland
    This dataset contains the radiocarbon ages from coral and shell collected from Kiritimati Island fossil coral reefs
    Created 1 April 2021 Updated 29 March 2024
  • Kiritimati Island Fossil Reef Elevation and Coordinates

    The University of Auckland
    This dataset contains coordinate and raw elevation data for fossil reef transects on Kiritimati Island
    Created 1 April 2021 Updated 29 March 2024
  • Data accompanying Anderson et al. IBIS

    The University of Auckland
    Pollination and seed dispersal data for Dysoxylum spectabile and Pittosporum crassifolium at reserve and non-reserve sites in New Zealand: 5-minute counts of bird mutualists,bird visitation rates to flowering and fruiting trees,fruit set and seed set under treatments with varying pollinator access to flowers,pollination success, seed removal, germination...
    Created 1 April 2021 Updated 29 March 2024
  • Data from: Modelling the projected separation of microlensing events using...

    The University of Auckland
    This dataset includes primary simulations of gravitational microlensing events used in the paper "Modelling the projected separation of microlensing events using systematic time-series feature engineering" by Alex Kennedy, Gemma Nash, Nicholas Rattenbury and Andreas W. Kempa-Liehr. See the README.md file for a complete description.The 'simulated' dataset...
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 2. Hi-C datasets used in the study

    The University of Auckland
    Details of the Hi-C datasets from 70 cell-lines/tissues used for the analysis is provided in the table. Hi-C contact data was used to find the target genes of the autoimmune disease-associated SNPs.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 3. Gene regulatory interactions of the SNPs associated...

    The University of Auckland
    We identified cis and trans regulatory interactions of the SNPs associated with 18 AiDs through chromatin-contact data and eQTL associations. The analysis was performed on each disease separately and the results are presented here. The coordinates of the SNPs and the genes are provided according to hg38 genome assembly.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 1. The 18 autoimmune diseases (AiDs) associated input...

    The University of Auckland
    The file contains a list of 18 autoimmune diseases (AiDs) included in the study. It also contains complete information on the genome-wide association study summary statistics of the input SNPs associated with 18 AiDs used for the analysis.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 5. Autoimmune protein-protein interaction network (Ai-PPIN) data

    The University of Auckland
    The PPI network was constructed using the genes that are regulated by the SNPs associated with 18 AiDs. STRING PPI data was used for building the network. The list of proteins present in the Ai-PPIN and the edgelist of the network is provided here.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 6. The 14 significant modules detected from the Ai-PPIN

    The University of Auckland
    We identified 14 significant network modules from the Ai-PPIN using Louvain community detection algorithm. The list of proteins representing each module and the edgelist corresponding to each module is presented here.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 7. The top five KEGG pathways enriched by each module

    The University of Auckland
    All significant network modules were enriched for biological pathways. The top five KEGG pathways enrichment results of each of the 14 modules show that the functional modules have distinct biological functions. The top five KEGG pathways results are given in the table.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 8. Centrality values of the central nodes identified from...

    The University of Auckland
    The top 10% of the proteins ranked by degree, closeness and eigenvector centrality scores were selected. The proteins that are present in common across three groups were defined as central. The central proteins from each module and their corresponding centrality scores are provided in this table.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 9. The central proteins are the targets of FDA approved drugs.

    The University of Auckland
    We used DGIdb to find the draggability of the central proteins. About 46% (N=80 of 173) of the central proteins across all the modules were targeted by FDA approved drugs. The list of central proteins and their drug targets, and the shared central proteins, their target drugs and the disease informations are provided here.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 10. Functional enrichment of the module containing HLA genes

    The University of Auckland
    The HLA genes are regulated by at least 10 AiD associated SNPs. Functional module containing HLA genes is highly enriched for immune system related pathways and biological processes. The shared central genes in the module play crucial roles in the biological processes linked to immune system. Here, we provided the details of proteins, GO and KEGG pathways...
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary_data_11. A module is enriched for immune function, but not...

    The University of Auckland
    The module that does not contain HLA genes enriched for immune related biological processes. The shared central genes play crucial role in the biological pathways and ontology terms related to immune system. The details of proteins representing the module, gene ontology biological process and KEGG pathway enrichment results are provided here.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 7. The top five KEGG pathways enriched by each module

    The University of Auckland
    All significant network modules were enriched for biological pathways. The top five KEGG pathways enrichment results of each of the 14 modules show that the functional modules have distinct biological functions. The top five KEGG pathways results are given in the table.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 12. Functional enrichment results of the largest module...

    The University of Auckland
    The largest functional module identified from the Ai-PPIN is enriched for diverse biological functions. Mainly, the module consists of proteins involved in cancer suppressor activity (e.g., TP53), signal transduction pathways and various cancer related pathways. The details of the proteins forming the module, GO and KEGG pathways enrichment analysis...
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 12. Functional enrichment results of the largest module...

    The University of Auckland
    The largest functional module identified from the Ai-PPIN is enriched for diverse biological functions. Mainly, the module consists of proteins involved in cancer suppressor activity (e.g., TP53), signal transduction pathways and various cancer related pathways. The details of the proteins forming the module, GO and KEGG pathways enrichment analysis...
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 7. The top five KEGG pathways enriched by each module

    The University of Auckland
    All significant network modules were enriched for biological pathways. The top five KEGG pathways enrichment results of each of the 14 modules show that the functional modules have distinct biological functions. The top five KEGG pathways results are given in the table.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 8. Centrality values of the central nodes identified from...

    The University of Auckland
    The top 10% of the proteins ranked by degree, closeness and eigenvector centrality scores were selected. The proteins that are present in common across three groups were defined as central. The central proteins from each module and their corresponding centrality scores are provided in this table.
    Created 1 April 2021 Updated 29 March 2024
  • Supplementary data 9. The central proteins are the targets of FDA approved drugs

    The University of Auckland
    We used DGIdb to find the draggability of the central proteins. About 46% (N=80 of 173) of the central proteins across all the modules were targeted by FDA approved drugs. The list of central proteins and their drug targets, and the shared central proteins, their target drugs and the disease informations are provided here.
    Created 1 April 2021 Updated 29 March 2024
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