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1,174
datasets available to search
ShareScore release 0.7.1
Dataset results
1,174 results for “cancer genomics”
Addressing Genomic Disparities in Cancer Survivors
ClinicalTrials.gov study NCT06073626. IPD Sharing: NO. Countries: 1. Publications: 1.
ProTarget - A Danish Nationwide Clinical Trial on Targeted Cancer Treatment Based on Genomic Profiling
ClinicalTrials.gov study NCT04341181. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Hereditary Gastric Cancer Syndromes: An Integrated Genomic and Clinicopathologic Study of the Predisposition to Gastric Cancer
ClinicalTrials.gov study NCT03030404. IPD Sharing: YES. Countries: 1. Publications: 9.
NGS Genome Analysis in Personalisation of Lung Cancer Treatment
ClinicalTrials.gov study NCT02281214. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Metabolism Imaging-genomics for Predicting the Surgical Outcomes of Colorectal Cancer
ClinicalTrials.gov study NCT06614660. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Genomics in Michigan to AdJust Outcomes in Prostate canceR (G-MAJOR) for Men With Newly Diagnosed Favorable Risk Prostate Cancer
ClinicalTrials.gov study NCT04396808. IPD Sharing: NO. Countries: 1. Publications: 1.
Genomic features of lung cancer patients in Indonesia’s National Cancer Center
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Data from: Big fishery, big data, and little crabs: using genomic methods to examine the seasonal recruitment patterns of early life stage Dungeness crab (Cancer magister) in the California current ecosystem
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Mitochondrial genome sequencing of marine leukemias reveals cancer contagion between clam species in the Seas of Southern Europe
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Combining genome-wide studies of breast, prostate, ovarian and endometrial cancers maps cross-cancer susceptibility loci and identifies new genetic associations
<p>Data set linked to the paper, "Combining genome-wide studies of breast, prostate, ovarian and endometrial cancers maps cross-cancer susceptibility loci and identifies new genetic associations". Pre-print of the paper is here: <a href="https://doi.org/10.1101/2020.06.16.146803">https://doi.org/10.1101/2020.06.16.146803</a>.</p> <p> </p> <p>cross_cancer_sum_stats.txt.gz contains summary genome-wide association statistics for susceptibility to single cancers (breast (BR), prostate (PR), ovarian (OV), endometrial (EN), estrogen receptor (ER)-positive breast (POS), ER-negative breast (NEG), and high-grade serous ovarian (HGS) cancers) and from the cross-cancer meta-analysis (main [main] and subtype-focused [sub]). EA in the header refers to the effect allele, OA is the other allele, EAF is the effect allele frequency in the largest of the single cancer data sets (BR), IMPR2 is the imputation quality in the largest of the single cancer data sets (BR), SE is the standard error, PVAL is the P-value, RE2Cs1 is the RE2C statistic mean effect part, RE2Cs2 is the RE2C statistic heterogeneity part, RE2Cp* is the RE2C* P-value. More on RE2Cp* can be found here: <a href="http://software.buhmhan.com/RE2C/index.php?mid=contact&act=dispBoardWrite">http://software.buhmhan.com/RE2C/index.php?mid=contact&act=dispBoardWrite</a> and in <a href="https://academic.oup.com/bioinformatics/article/33/14/i379/3953957">https://academic.oup.com/bioinformatics/article/33/14/i379/3953957</a> SNP names in cross_cancer_sum_stats.txt.gz include the chromosome and build 37 position.</p> <p> </p> <p>main_tetrachoric_corr_matrix.txt and subtype_tetrachoric_corr_matrix.txt provide the tetrachoric correlation matrices used in the main and subtype-focused meta-analyses. These were also used to specify the cryptic.cor argument of the exh.abf function of MetABF. More on MetABF can be found here: <a href="https://github.com/trochet/metabf">https://github.com/trochet/metabf</a> and in <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/gepi.22202">https://onlinelibrary.wiley.com/doi/abs/10.1002/gepi.22202</a></p> <p> </p> <p>prior_sigmas_for_metabf.txt contains the values used to specify the prior.sigma argument of the exh.abf function in MetABF.</p> <p> </p> <p>The breast cancer data used are described in <a href="https://pubmed.ncbi.nlm.nih.gov/29059683/"><strong>PMID 29059683</strong></a> and can be downloaded from <a href="http://bcac.ccge.medschl.cam.ac.uk/bcacdata/oncoarray/oncoarray-and-combined-summary-result/gwas- summary-results-breast-cancer-risk-2017/">http://bcac.ccge.medschl.cam.ac.uk/bcacdata/oncoarray/oncoarray-and-combined-summary-result/gwas- summary-results-breast-cancer-risk-2017/</a> (this link also includes acknowledgements). The prostate cancer data are described in <a href="https://pubmed.ncbi.nlm.nih.gov/29892016/"><strong>PMID 29892016</strong></a> and can be downloaded from: <a href="http://practical.icr.ac.uk/blog/?page_id=8164">http://practical.icr.ac.uk/blog/?page_id=8164</a> (this link also includes acknowledgements). The ovarian cancer data used are described in <a href="https://pubmed.ncbi.nlm.nih.gov/28346442/"><strong>PMID 28346442</strong></a> and can be downloaded from <a href="https://www.ebi.ac.uk/gwas/studies/GCST004415">https://www.ebi.ac.uk/gwas/studies/GCST004415</a>. The endometrial cancer data are described in <a href="https://pubmed.ncbi.nlm.nih.gov/30093612/"><strong>PMID 30093612</strong></a> and can be downloaded from <a href="https://www.ebi.ac.uk/gwas/studies/GCST006464">https://www.ebi.ac.uk/gwas/studies/GCST006464</a>. These links point to the same data that form the basis of the cross_cancer_sum_stats.txt.gz file.</p> <p> </p> <p><strong>The sample size and precision of the data presented should preclude identification of any individual study participant. However, in downloading these data, you undertake not to attempt to identify individual study participant and not to re-post these data to a third-party website. Please cite the PMIDs highlighted above along with the appropriate acknowledements if you use the cross_cancer_sum_stats.txt.gz file.</strong></p> <p> </p> <p>If you have any questions about this repository, please email Siddhartha Kar at siddhartha dot kar at bristol dot ac dot uk</p>
Multimodal Features Integration: Genomics and Histopathological images for colon cancer stage prediction and survival stratification
<p>File Description</p> <p>clinical_patient_coad.xls - Clinical data for colon cancer patients<br>COAD__geneExp.xls - RNA data for colon cancer patients<br>COAD__methylation_450__TSS200-TSS1500.xls - DNA methylation data for colon cancer patients<br>COAD__miRNAExp__ReadCount.xls - miRNA data for colon cancer patients<br>COAD_DX_STG1.tar.gz - Image tiles for stage 1 colon cancer patients<br>COAD_DX_STG2.tar.gz - Image tiles for stage 2 colon cancer patients<br>COAD_DX_STG3.tar.gz - Image tiles for stage 3 colon cancer patients<br>COAD_DX_STG4.tar.gz - Image tiles for stage 4 colon cancer patients</p>
Data associated with "Survival outcomes are associated with genomic instability in luminal breast cancers".
<p>Data utilised in <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0245042">Survival outcomes are associated with genomic instability in luminal breast cancers</a>.</p>
Concordance of Key Actionable Genomic Alterations as Assessed in Tumor Tissue and Plasma in Non Small Cell Lung Cancer
ClinicalTrials.gov study NCT02762877. IPD Sharing: Not stated. Countries: 7. Publications: 0.
Rucaparib in Treating Patients With Genomic LOH High and/or Deleterious BRCA1/2 Mutation Stage IV or Recurrent Non-small Cell Lung Cancer (A Lung-MAP Treatment Trial)
ClinicalTrials.gov study NCT03845296. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pembrolizumab in Treating Participants With Metastatic, Recurrent or Locally Advanced Cancer and Genomic Instability
ClinicalTrials.gov study NCT03428802. IPD Sharing: NO. Countries: 1. Publications: 0.
SURGE: Supporting UnderRepresented Minorities in Genomics-based Cancer Trial Enrollment (Intervention)
ClinicalTrials.gov study NCT05375643. IPD Sharing: YES. Countries: 1. Publications: 0.
Genomic Analysis of Families With a History of Discordant Cancers
ClinicalTrials.gov study NCT04860453. IPD Sharing: NO. Countries: 1. Publications: 0.
Circulating Tumor DNA Enriched, Genomically Directed Post-neoadjuvant Trial for Patients With Residual Triple Negative Breast Cancer
ClinicalTrials.gov study NCT04849364. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Sweepstake evolution revealed by population-genetic analysis of copy-number alterations in single genomes of breast cancer
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Data from: Distinguishing potential bacteria-tumor associations from contamination in a secondary data analysis of public cancer genome sequence data
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ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.