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14435 results for ""Pennsylvania+German"+ACS+study+'Socius'+open+access"

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General Study Dataset

Type

blog dac dataset documentation study

Repository

dbgap ega jga

Federated ega

finland norway poland spain sweden

Study type

affected sib pairs aggregate genomic data amplicon sequencing atac sequencing cancer genomics case set case-cohort case-control clinical cohort clinical diagnostic testing clinical genetic testing clinical trial cohort collection community control set controlled trial copy number variation (cnv) cross-sectional double-blind electronic medical records epigenetics eqtl exome sequencing extended pedigrees family family linkage forensic or paleo-genomics full transcriptome sequencing gene regulation study genotype genotype/expression genotype/expression array gwas individual-level genomic data interventional longitudinal longitudinal cohort marker discovery mendelian meta-analysis metagenomics metastasis methods development mixed multicenter multiplex families nested case-control nuclear families observational other parent-offspring parent-offspring trios partial factorial randomized phase iii placebo-controlled pooled clone sequencing population population genomics population-based control set probands prospective quantitative cross-sectional randomized randomized controlled clinical trial reference set resequencing rna sequencing rnaseq sequencing sibling cohort single cell analysis single cell rna sequence single cell rna sequencing single patient snp array analysis stem cell lines synthetic genomics targeted capture sequence transcriptome analysis transcriptome sequencing transcriptome sequencing (tumor only) tumor tumor vs. matched-normal twin virus capture sequencing whole genome sequencing whole-genome bisulfite sequencing xenograft

Dataset types

amplicon sequencing chip-seq chromatin accessibility profiling by high-throughput sequencing exome sequencing genomic variant calling genotyping by array histone modification profiling by high-throughput sequencing methylation binding domain sequencing methylation profiling by high-throughput sequencing phenotype information study summary information transcriptome profiling by array transcriptome profiling by high-throughput sequencing whole genome sequencing

Dataset technologies

ab 3730xl genetic analyzer ab 5500xl genetic analyzer ab solid 4 system affy mirna 3.0 array affymetrics axiom snp array 2.0 affymetrix affymetrix 6.0 array affymetrix 6.0; cytoscan affymetrix axiom genome-wide asi 1 array affymetrix axiom genome-wide human origins array affymetrix biobank array affymetrix oncoscan ffpe express affymetrix, thermo fisher scientific agilent human mirna microarray axiom uk biobank array bgiseq-500 clariomâ„¢ d human assay complete genomics coreexome illumina snp chip array dnbseq-g400 dnbseq-t7 epic beadchip hiseq x five hiseq x ten human cardio metabochip human clariom d arrays human genome u219 array plate humanht-12 illumina (epic array) illumina 450k illumina cardio-metabochip illumina genome analyzer illumina genome analyzer ii illumina genome analyzer iix illumina global screening array illumina gsa v1.0 illumina hiseq 1000 illumina hiseq 1500 illumina hiseq 2000 illumina hiseq 2500 illumina hiseq 3000 illumina hiseq 4000 illumina hiseq x illumina human omni1-quad beadchip. illumina humancoreexome beadchip array illumina humancoreexome-12v1-1_a illumina humancoreexome-24v1-0 illumina humancoreexome-24v1-1 illumina humanmethylation450 illumina humanomni1-quad_v1-0 illumina humanomni1-quad_v1-0, humanomniexpress-12-v1-0, humanomniexpress-24-v1-1, humanomni25-8v1-2_a1 illumina humanomni2.5 illumina humanomni2.5-8 illumina humanomni5-quad and exome sequencing illumina humanomniexpress-12 illumina humanomniexpress-12-v1-0 illumina humanomniexpress-24-v1-1 illumina humanwg-6 illumina humanwg-6 version 3 or illumina humanht-12 expression bead chip, combined on identical nucleotide universal identifiers. illumina infinium epic illumina infinium h3africa (v2) with custom add-ons illumina infinium immunochip illumina infiniumomniexpressexome-8 illumina mega array illumina methylationepic v2.0 illumina miniseq illumina miseq illumina novaseq 6000 illumina novaseq x illumina novaseq x plus illumina omni 2.5 illumina omni 2.5m illumina oncoarray illumina sangerddd_omniexplusv1_15019773 infinium gsa infinium methylationepic array ion genestudio s5 ion torrent pgm ion torrent proton ion torrent s5 xl llumina 2.5-8 minion nextseq 2000 nextseq 500 nextseq 550 nimblegen hg18 cgh 385k omniexpress omniexpress-24 v1.1 pacbio rs ii promethion qexactive plus sanger sequencing sequel sequel ii sequel iie sequenom massarray (agena bioscience) somascan 1.3k proteomic assay uk biobank axiomâ„¢ array unspecified

Phenotypes

[CHEBI:33699] [CL:0000037] [CL:0000084] [CL:0000094] [CL:0000235] [CL:0000576] [CL:0000837] [CL:0000863] [CL:0000890] [CL:0002057] [EFO:0000094] [EFO:0000198] [EFO:0000209] [EFO:0000211] [EFO:0000220] [EFO:0000222] [EFO:0000272] [EFO:0000275] [EFO:0000280] [EFO:0000285] [EFO:0000309] [EFO:0000322] [EFO:0000330] [EFO:0000339] [EFO:0000349] [EFO:0000403] [EFO:0000478] [EFO:0000503] [EFO:0000519] [EFO:0000565] [EFO:0000574] [EFO:0000586] [EFO:0000609] [EFO:0000632] [EFO:0000637] [EFO:0000693] [EFO:0000980] [EFO:0001461] [EFO:0001663] [EFO:0001905] [EFO:0002001] [EFO:0002002] [EFO:0002422] [EFO:0002499] [EFO:0002508] [EFO:0002539] [EFO:0002759] [EFO:0002939] [EFO:0002966] [EFO:0003025] [EFO:0003094] [EFO:0003885] [EFO:0003897] [EFO:0003940] [EFO:0004281] [EFO:0005023] [EFO:0005543] [EFO:0005699] [EFO:0005704] [EFO:0005705] [EFO:0005706] [EFO:0005707] [EFO:0005708] [EFO:0005709] [EFO:0005710] [EFO:0005711] [EFO:0005712] [EFO:0005740] [EFO:0005922] [EFO:0006545] [EFO:0009119] [EFO:0009121] [EFO:0009443] [EFO:0010064] [EFO:1000028] [EFO:1000042] [EFO:1000068] [EFO:1000069] [EFO:1000177] [EFO:1000180] [EFO:1000231] [EFO:1000238] [EFO:1000327] [EFO:1000490] [EFO:1000575] [EFO:1001480] [EFO:1001514] [EFO:1001515] [EFO:1001830] [EFO:1001956] [EFO:1001958] [EFO:1002008] [HP:0000001] [HP:0000002] [HP:0000008] [HP:0000009] [HP:0000010] [HP:0000014] [HP:0000020] [HP:0000022] [HP:0000023] [HP:0000028] [HP:0000032] [HP:0000035] [HP:0000036] [HP:0000045] [HP:0000047] [HP:0000049] [HP:0000062] [HP:0000069] [HP:0000073] [HP:0000076] [HP:0000077] [HP:0000078] [HP:0000079] [HP:0000085] [HP:0000086] [HP:0000089] [HP:0000098] [HP:0000100] [HP:0000104] [HP:0000107] [HP:0000110] [HP:0000118] [HP:0000119] [HP:0000121] [HP:0000122] [HP:0000125] [HP:0000126] [HP:0000137] [HP:0000138] [HP:0000152] [HP:0000153] [HP:0000154] [HP:0000157] [HP:0000159] [HP:0000160] [HP:0000161] [HP:0000162] [HP:0000163] [HP:0000164] [HP:0000168] [HP:0000172] [HP:0000174] [HP:0000175] [HP:0000176] [HP:0000177] [HP:0000178] [HP:0000179] [HP:0000185] [HP:0000193] [HP:0000194] [HP:0000201] [HP:0000202] [HP:0000212] [HP:0000215] [HP:0000218] [HP:0000219] [HP:0000220] [HP:0000233] [HP:0000234] [HP:0000235] [HP:0000236] [HP:0000238] [HP:0000239] [HP:0000240] [HP:0000243] [HP:0000248] [HP:0000252] [HP:0000253] [HP:0000256] [HP:0000260] [HP:0000268] [HP:0000270] [HP:0000271] [HP:0000272] [HP:0000276] [HP:0000277] [HP:0000278] [HP:0000280] [HP:0000284] [HP:0000286] [HP:0000288] [HP:0000290] [HP:0000294] [HP:0000301] [HP:0000303] [HP:0000306] [HP:0000307] [HP:0000308] [HP:0000309] [HP:0000311] [HP:0000315] [HP:0000316] [HP:0000319] [HP:0000324] [HP:0000325] [HP:0000326] [HP:0000327] [HP:0000331] [HP:0000337] [HP:0000338] [HP:0000340] [HP:0000341] [HP:0000343] [HP:0000347] [HP:0000356] [HP:0000357] [HP:0000358] [HP:0000359] [HP:0000363] [HP:0000364] [HP:0000365] [HP:0000366] [HP:0000368] [HP:0000369] [HP:0000370] [HP:0000377] [HP:0000378] [HP:0000383] [HP:0000384] [HP:0000388] [HP:0000396] [HP:0000403] 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[HP:0001667] [HP:0001671] [HP:0001674] [HP:0001679] [HP:0001680] [HP:0001684] [HP:0001691] [HP:0001692] [HP:0001707] [HP:0001710] [HP:0001711] [HP:0001713] [HP:0001714] [HP:0001719] [HP:0001738] [HP:0001757] [HP:0001760] [HP:0001762] [HP:0001763] [HP:0001769] [HP:0001770] [HP:0001772] [HP:0001773] [HP:0001776] [HP:0001780] [HP:0001782] [HP:0001790] [HP:0001791] [HP:0001792] [HP:0001800] [HP:0001814] [HP:0001824] [HP:0001829] [HP:0001830] [HP:0001831] [HP:0001832] [HP:0001837] [HP:0001838] [HP:0001839] [HP:0001841] [HP:0001844] [HP:0001845] [HP:0001848] [HP:0001850] [HP:0001863] [HP:0001864] [HP:0001868] [HP:0001871] [HP:0001872] [HP:0001873] [HP:0001877] [HP:0001878] [HP:0001883] [HP:0001892] [HP:0001903] [HP:0001920] [HP:0001933] [HP:0001939] [HP:0001941] [HP:0001943] [HP:0001945] [HP:0001954] [HP:0001955] [HP:0001956] [HP:0001961] [HP:0001965] [HP:0001999] [HP:0002002] [HP:0002006] [HP:0002007] [HP:0002011] [HP:0002012] [HP:0002013] [HP:0002015] [HP:0002017] [HP:0002019] [HP:0002020] 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[MONDO:0002627] [MONDO:0002631] [MONDO:0002728] [MONDO:0003478] [MONDO:0003537] [MONDO:0004050] [MONDO:0004301] [MONDO:0005072] [MONDO:0013296] [MONDO:0016642] [MONDO:0016690] [MONDO:0016691] [MONDO:0016700] [MONDO:0018177] [MONDO:0019470] [MONDO:0019474] [MONDO:0020511] [MONDO:0020560] [MONDO:0100096] [MONDO:0100342] [NCIT:C115935] [NCIT:C200033] [NCIT:C3099] [NCIT:C3468] [NCIT:C4737] [NCIT:C4873] [Orphanet:3095] [Orphanet:98892] [PATO:0000461] [UBERON:0013756]

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Genome and transcriptome sequence data from a prostate adenocarcinoma patient

Genome and transcriptome sequence data from a prostate adenocarcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study
Dataset EGAD00001010988
Genome and transcriptome sequence data from a metastatic cholangiocarcinoma patient

Genome and transcriptome sequence data from a metastatic cholangiocarcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study
Dataset EGAD00001011012
Genome and transcriptome sequence data from a urachal adenocarcinoma patient

Genome and transcriptome sequence data from a urachal adenocarcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study
Dataset EGAD00001011031
Finding structural variation and functional consequences from the primary leukemia cells (CLL) at the single-cell level

In this study, we aimed to identify somatic structural variation of chronic lymphocytic leukemia (CLL) at the single-cell level and investigate its direct consequence on the nucleosome occupancy using scNOVA approach. For this purpose, we performed strand-specific single-cell sequencing of primary leukemia samples from 63-year-old female patient.
Dataset EGAD00001006822
Genome and transcriptome sequence data from a lung adenocarcinoma patient

Genome and transcriptome sequence data from a lung adenocarcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study
Dataset EGAD00001005880
Genome and transcriptome sequence data from a colorectal cancer patient

Genome and transcriptome sequence data from a colorectal cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study
Dataset EGAD00001008909
Genome and transcriptome sequence data from a pancreatic adenocarcinoma patient

Genome and transcriptome sequence data from a pancreatic adenocarcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study
Dataset EGAD00001011035
Genome and transcriptome sequence data from a pancreatic cancer patient

Genome and transcriptome sequence data from a pancreatic cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study
Dataset EGAD00001005868
Genome and transcriptome sequence data from a cervical cancer patient

Genome and transcriptome sequence data from a cervical cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study
Dataset EGAD00001010947
Genome and transcriptome sequence data from a intrahepatic cholangiocarcinoma patient

Genome and transcriptome sequence data from a intrahepatic cholangiocarcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study
Dataset EGAD00001008922

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