run_metadata
9 rows where experiment.library_selection = "PCR", experiment.library_strategy = "RNA-Seq" and tissue_curation = "Multi-tissue"
This data as json, CSV (advanced)
| Link | rowid ▼ | run.accession | experiment.accession | sample.accession | study.accession | bioproject | study.title | study.alias | study.type | study.abstract | study.attributes | study.PMIDs | sample.description | sample.title | sample.alias | sample.centername | sample.attributes | GEOsample.title | GEOsample.dataprocessing | GEOsample.source | GEOsample.treatmentprotocol | GEOsample.extractprotocol | GEOsample.growthprotocol | GEOsample.characteristics | GEOsample.accession | experiment.title | experiment.alias | experiment.library_name | experiment.design_description | experiment.library_construction_protocol | experiment.attributes | experiment.library_strategy | experiment.library_source | experiment.library_selection | experiment.library_layout | experiment.platform | experiment.instrument_model | experiment.spot_descriptor | experiment.study_ref | run.title | run.attributes | run.filename | run.semantic_name | run.total_bases | run.total_spots | run.alias | run.read_lengths | run.base_counts | run.r1_length | run.r2_length | run.r3_length | run.r4_length | run.Acount | run.Ccount | run.Gcount | run.Tcount | run.Ncount | run.experiment | run.pool_member | submission.accession | submission.srasource | submission.bioprojectsource | seqdetective.n_mates | seqdetective.mapping_rate.mate1 | seqdetective.mapping_rate.mate2 | seqdetective.nofeature_rate.mate1 | seqdetective.nofeature_rate.mate2 | seqdetective.sparsity.mate1 | seqdetective.sparsity.mate2 | seqdetective.pos_strand_rate.mate1 | seqdetective.pos_strand_rate.mate2 | seqdetective.readlen.mate1 | seqdetective.readlen.mate2 | seqdetective.judgement.mate1 | seqdetective.judgement.mate2 | seqdetective.judgement.reason | platform_family | instrument_generation | read_bias | selection_class | prep_kit | sc_or_bulk | tech_class | technology | tech_variant | submission.bioprojectsource.country | earliest_date | devstage_curation | devstage_curation_coarse | tissue_curation | tissue_curation_coarse |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 64970 | 64970 | SRR14999363 | SRX11311655 | SRS9340853 | SRP324442 | PRJNA738523 | Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag | GSE178343 | Other | Here we describe successful implementation of CUT&RUN for profiling protein DNA interactions in zebrafish embryos. We apply modified a CUT&RUN method to generate high resolution maps of enrichment for H3K4me3 H3K27me3 H3K9me3 and RNA polymerase II during zebrafish gastrulation. Using this data we identify a conserved subset of developmental genes that are enriched in both H3K4me3 and H3K27me3 during gastrulation and we demonstrate the increased effectiveness of CUT&RUN for detecting protein enrichment at repetitive sequences with reduced mappability. Our work demonstrates the power of combining CUT&RUN with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development. Overall design: CUT&RUN in 6hpf zebrafish embryos for H3K27me3 H3K4me3 H3K9me3 and pol II. Experiments performed in duplicate with an IgG control. | L 1 | L 1 | strain:not collected|isolate:Similar in size|breed:AB wild type|ecotype:Illumina sequencing|age:4 months|dev stage:adult|sex:not collected|tissue:Liver and brain|biomaterial provider:CZRC|replicate:replicate =L 1|BioSampleModel:Model organism or animal | L 1 | FRAS210007515 1r | FRAS210007515 1r | 0.8g/L;h=96h;zebrafish | RNA-Seq | TRANSCRIPTOMIC | PCR | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP324442 | L_96h_1_1.fq.gz L_96h_1_2.fq.gz | fastq fastq | 6019278600.0 | 20064262.0 | L 96h 1 1.fq.gz | 0:150 1:150 | A:1581092490;C:1430552191;G:1435208634;T:1572284027;N:141258 | 150 | 150 | 1581092490 | 1430552191 | 1435208634 | 1572284027 | 141258 | SRX11311655 | SRS9340853 | SRA1252645 | Shandong Normal University|School of geography and environment | Genetics, University of Goergia | 2 | 0.94261 | 0.9417 | 0.02923 | 0.02882 | 0.7051 | 0.70725 | 0.48809 | 0.49074 | 150 | 150 | B | B | biological fallback assumption | illumina | novaseq_era | unknown | random_priming | unknown | bulk | unknown | unknown | United States | 2021-06-30 | Adult | Adult | Multi-tissue | Multi-system | ||||||||||||||||||||
| 64971 | 64971 | SRR14999364 | SRX11311654 | SRS9340852 | SRP324442 | PRJNA738523 | Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag | GSE178343 | Other | Here we describe successful implementation of CUT&RUN for profiling protein DNA interactions in zebrafish embryos. We apply modified a CUT&RUN method to generate high resolution maps of enrichment for H3K4me3 H3K27me3 H3K9me3 and RNA polymerase II during zebrafish gastrulation. Using this data we identify a conserved subset of developmental genes that are enriched in both H3K4me3 and H3K27me3 during gastrulation and we demonstrate the increased effectiveness of CUT&RUN for detecting protein enrichment at repetitive sequences with reduced mappability. Our work demonstrates the power of combining CUT&RUN with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development. Overall design: CUT&RUN in 6hpf zebrafish embryos for H3K27me3 H3K4me3 H3K9me3 and pol II. Experiments performed in duplicate with an IgG control. | C 3 | C 3 | strain:not collected|isolate:Similar in size|breed:AB wild type|ecotype:Illumina sequencing|age:4 months|dev stage:adult|sex:not collected|tissue:Liver and brain|biomaterial provider:CZRC|replicate:replicate =C 3|BioSampleModel:Model organism or animal | C 3 | FRAS210007514 3r | FRAS210007514 3r | 0g/L;h=96h;zebrafish | RNA-Seq | TRANSCRIPTOMIC | PCR | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP324442 | C_96h_3_1.fq.gz C_96h_3_2.fq.gz | fastq fastq | 6857670600.0 | 22858902.0 | C 96h 3 1.fq.gz | 0:150 1:150 | A:1841430105;C:1590688013;G:1597543269;T:1827853044;N:156169 | 150 | 150 | 1841430105 | 1590688013 | 1597543269 | 1827853044 | 156169 | SRX11311654 | SRS9340852 | SRA1252645 | Shandong Normal University|School of geography and environment | Genetics, University of Goergia | 2 | 0.93924 | 0.93826 | 0.0592 | 0.05873 | 0.65673 | 0.65766 | 0.49758 | 0.50371 | 150 | 150 | B | B | biological fallback assumption | illumina | novaseq_era | unknown | random_priming | unknown | bulk | unknown | unknown | United States | 2021-06-30 | Adult | Adult | Multi-tissue | Multi-system | ||||||||||||||||||||
| 64972 | 64972 | SRR14999365 | SRX11311653 | SRS9340851 | SRP324442 | PRJNA738523 | Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag | GSE178343 | Other | Here we describe successful implementation of CUT&RUN for profiling protein DNA interactions in zebrafish embryos. We apply modified a CUT&RUN method to generate high resolution maps of enrichment for H3K4me3 H3K27me3 H3K9me3 and RNA polymerase II during zebrafish gastrulation. Using this data we identify a conserved subset of developmental genes that are enriched in both H3K4me3 and H3K27me3 during gastrulation and we demonstrate the increased effectiveness of CUT&RUN for detecting protein enrichment at repetitive sequences with reduced mappability. Our work demonstrates the power of combining CUT&RUN with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development. Overall design: CUT&RUN in 6hpf zebrafish embryos for H3K27me3 H3K4me3 H3K9me3 and pol II. Experiments performed in duplicate with an IgG control. | C 2 | C 2 | strain:not collected|isolate:Similar in size|breed:AB wild type|ecotype:Illumina sequencing|age:4 months|dev stage:adult|sex:not collected|tissue:Liver and brain|biomaterial provider:CZRC|replicate:replicate =C 2|BioSampleModel:Model organism or animal | C 2 | FRAS210007514 2r | FRAS210007514 2r | 0g/L;h=96h;zebrafish | RNA-Seq | TRANSCRIPTOMIC | PCR | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP324442 | C_96h_2_1.fq.gz C_96h_2_2.fq.gz | fastq fastq | 6348703200.0 | 21162344.0 | C 96h 2 1.fq.gz | 0:150 1:150 | A:1700541402;C:1478742180;G:1481199683;T:1688070707;N:149228 | 150 | 150 | 1700541402 | 1478742180 | 1481199683 | 1688070707 | 149228 | SRX11311653 | SRS9340851 | SRA1252645 | Shandong Normal University|School of geography and environment | Genetics, University of Goergia | 2 | 0.94135 | 0.94114 | 0.05775 | 0.0572 | 0.66101 | 0.66265 | 0.50778 | 0.50788 | 150 | 150 | B | B | biological fallback assumption | illumina | novaseq_era | unknown | random_priming | unknown | bulk | unknown | unknown | United States | 2021-06-30 | Adult | Adult | Multi-tissue | Multi-system | ||||||||||||||||||||
| 64973 | 64973 | SRR14999366 | SRX11311652 | SRS9340850 | SRP324442 | PRJNA738523 | Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag | GSE178343 | Other | Here we describe successful implementation of CUT&RUN for profiling protein DNA interactions in zebrafish embryos. We apply modified a CUT&RUN method to generate high resolution maps of enrichment for H3K4me3 H3K27me3 H3K9me3 and RNA polymerase II during zebrafish gastrulation. Using this data we identify a conserved subset of developmental genes that are enriched in both H3K4me3 and H3K27me3 during gastrulation and we demonstrate the increased effectiveness of CUT&RUN for detecting protein enrichment at repetitive sequences with reduced mappability. Our work demonstrates the power of combining CUT&RUN with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development. Overall design: CUT&RUN in 6hpf zebrafish embryos for H3K27me3 H3K4me3 H3K9me3 and pol II. Experiments performed in duplicate with an IgG control. | C 1 | C 1 | strain:not collected|isolate:Similar in size|breed:AB wild type|cultivar:not collected|ecotype:Illumina sequencing|age:4 months|dev stage:adult|sex:not collected|tissue:Liver and brain|biomaterial provider:CZRC|replicate:replicate =C 1|BioSampleModel:Model organism or animal | C 1 | FRAS210007514 1r | FRAS210007514 1r | 0g/L;h=96h;zebrafish | RNA-Seq | TRANSCRIPTOMIC | PCR | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP324442 | C_96h_1_1.fq.gz C_96h_1_2.fq.gz | fastq fastq | 6463471200.0 | 21544904.0 | C 96h 1 1.fq.gz | 0:150 1:150 | A:1733784762;C:1501594175;G:1506005187;T:1721935805;N:151271 | 150 | 150 | 1733784762 | 1501594175 | 1506005187 | 1721935805 | 151271 | SRX11311652 | SRS9340850 | SRA1252645 | Shandong Normal University|School of geography and environment | Genetics, University of Goergia | 2 | 0.93808 | 0.93829 | 0.05961 | 0.05918 | 0.65884 | 0.65873 | 0.50462 | 0.50091 | 150 | 150 | B | B | biological fallback assumption | illumina | novaseq_era | unknown | random_priming | unknown | bulk | unknown | unknown | United States | 2021-06-30 | Adult | Adult | Multi-tissue | Multi-system | ||||||||||||||||||||
| 64974 | 64974 | SRR14999367 | SRX11311651 | SRS9340849 | SRP324442 | PRJNA738523 | Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag | GSE178343 | Other | Here we describe successful implementation of CUT&RUN for profiling protein DNA interactions in zebrafish embryos. We apply modified a CUT&RUN method to generate high resolution maps of enrichment for H3K4me3 H3K27me3 H3K9me3 and RNA polymerase II during zebrafish gastrulation. Using this data we identify a conserved subset of developmental genes that are enriched in both H3K4me3 and H3K27me3 during gastrulation and we demonstrate the increased effectiveness of CUT&RUN for detecting protein enrichment at repetitive sequences with reduced mappability. Our work demonstrates the power of combining CUT&RUN with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development. Overall design: CUT&RUN in 6hpf zebrafish embryos for H3K27me3 H3K4me3 H3K9me3 and pol II. Experiments performed in duplicate with an IgG control. | H 3 | H 3 | strain:not collected|isolate:Similar in size|breed:AB wild type|ecotype:Illumina sequencing|age:4 months|dev stage:adult|sex:not collected|tissue:Liver and brain|biomaterial provider:CZRC|replicate:replicate =H 3|BioSampleModel:Model organism or animal | H 3 | FRAS210007516 3r | FRAS210007516 3r | 2.0g/L;h=96h;zebrafish | RNA-Seq | TRANSCRIPTOMIC | PCR | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP324442 | H_96h_3_1.fq.gz H_96h_3_2.fq.gz | fastq fastq | 5638058700.0 | 18793529.0 | H 96h 3 1.fq.gz | 0:150 1:150 | A:1495034040;C:1330177281;G:1330682910;T:1482034263;N:130206 | 150 | 150 | 1495034040 | 1330177281 | 1330682910 | 1482034263 | 130206 | SRX11311651 | SRS9340849 | SRA1252645 | Shandong Normal University|School of geography and environment | Genetics, University of Goergia | 2 | 0.93535 | 0.93491 | 0.02553 | 0.02529 | 0.72456 | 0.72474 | 0.50213 | 0.49962 | 150 | 150 | B | B | biological fallback assumption | illumina | novaseq_era | unknown | random_priming | unknown | bulk | unknown | unknown | United States | 2021-06-30 | Adult | Adult | Multi-tissue | Multi-system | ||||||||||||||||||||
| 64975 | 64975 | SRR14999368 | SRX11311650 | SRS9340848 | SRP324442 | PRJNA738523 | Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag | GSE178343 | Other | Here we describe successful implementation of CUT&RUN for profiling protein DNA interactions in zebrafish embryos. We apply modified a CUT&RUN method to generate high resolution maps of enrichment for H3K4me3 H3K27me3 H3K9me3 and RNA polymerase II during zebrafish gastrulation. Using this data we identify a conserved subset of developmental genes that are enriched in both H3K4me3 and H3K27me3 during gastrulation and we demonstrate the increased effectiveness of CUT&RUN for detecting protein enrichment at repetitive sequences with reduced mappability. Our work demonstrates the power of combining CUT&RUN with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development. Overall design: CUT&RUN in 6hpf zebrafish embryos for H3K27me3 H3K4me3 H3K9me3 and pol II. Experiments performed in duplicate with an IgG control. | H 2 | H 2 | strain:not collected|isolate:Similar in size|breed:AB wild type|ecotype:Illumina sequencing|age:4 months|dev stage:adult|sex:not collected|tissue:Liver and brain|biomaterial provider:CZRC|replicate:replicate =H 2|BioSampleModel:Model organism or animal | H 2 | FRAS210007516 2r | FRAS210007516 2r | 2.0g/L;h=96h;zebrafish | RNA-Seq | TRANSCRIPTOMIC | PCR | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP324442 | H_96h_2_1.fq.gz H_96h_2_2.fq.gz | fastq fastq | 6161230800.0 | 20537436.0 | H 96h 2 1.fq.gz | 0:150 1:150 | A:1637006263;C:1449880253;G:1451565756;T:1622634286;N:144242 | 150 | 150 | 1637006263 | 1449880253 | 1451565756 | 1622634286 | 144242 | SRX11311650 | SRS9340848 | SRA1252645 | Shandong Normal University|School of geography and environment | Genetics, University of Goergia | 2 | 0.93477 | 0.93452 | 0.02553 | 0.02539 | 0.72395 | 0.72494 | 0.49506 | 0.49921 | 150 | 150 | B | B | biological fallback assumption | illumina | novaseq_era | unknown | random_priming | unknown | bulk | unknown | unknown | United States | 2021-06-30 | Adult | Adult | Multi-tissue | Multi-system | ||||||||||||||||||||
| 64976 | 64976 | SRR14999369 | SRX11311649 | SRS9340847 | SRP324442 | PRJNA738523 | Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag | GSE178343 | Other | Here we describe successful implementation of CUT&RUN for profiling protein DNA interactions in zebrafish embryos. We apply modified a CUT&RUN method to generate high resolution maps of enrichment for H3K4me3 H3K27me3 H3K9me3 and RNA polymerase II during zebrafish gastrulation. Using this data we identify a conserved subset of developmental genes that are enriched in both H3K4me3 and H3K27me3 during gastrulation and we demonstrate the increased effectiveness of CUT&RUN for detecting protein enrichment at repetitive sequences with reduced mappability. Our work demonstrates the power of combining CUT&RUN with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development. Overall design: CUT&RUN in 6hpf zebrafish embryos for H3K27me3 H3K4me3 H3K9me3 and pol II. Experiments performed in duplicate with an IgG control. | H 1 | H 1 | strain:not collected|isolate:Similar in size|breed:AB wild type|ecotype:Illumina sequencing|age:4 months|dev stage:adult|sex:not collected|tissue:Liver and brain|biomaterial provider:CZRC|replicate:replicate=H 1|BioSampleModel:Model organism or animal | H 1 | FRAS210007516 1r | FRAS210007516 1r | 2.0g/L;h=96h;zebrafish | RNA-Seq | TRANSCRIPTOMIC | PCR | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP324442 | H_96h_1_1.fq.gz H_96h_1_2.fq.gz | fastq fastq | 6624273900.0 | 22080913.0 | H 96h 1 1.fq.gz | 0:150 1:150 | A:1755735186;C:1561147696;G:1566612960;T:1740622508;N:155550 | 150 | 150 | 1755735186 | 1561147696 | 1566612960 | 1740622508 | 155550 | SRX11311649 | SRS9340847 | SRA1252645 | Shandong Normal University|School of geography and environment | Genetics, University of Goergia | 2 | 0.93425 | 0.93322 | 0.0254 | 0.0252 | 0.72606 | 0.72669 | 0.50622 | 0.50832 | 150 | 150 | B | B | biological fallback assumption | illumina | novaseq_era | unknown | random_priming | unknown | bulk | unknown | unknown | United States | 2021-06-30 | Adult | Adult | Multi-tissue | Multi-system | ||||||||||||||||||||
| 64977 | 64977 | SRR14999370 | SRX11311648 | SRS9340845 | SRP324442 | PRJNA738523 | Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag | GSE178343 | Other | Here we describe successful implementation of CUT&RUN for profiling protein DNA interactions in zebrafish embryos. We apply modified a CUT&RUN method to generate high resolution maps of enrichment for H3K4me3 H3K27me3 H3K9me3 and RNA polymerase II during zebrafish gastrulation. Using this data we identify a conserved subset of developmental genes that are enriched in both H3K4me3 and H3K27me3 during gastrulation and we demonstrate the increased effectiveness of CUT&RUN for detecting protein enrichment at repetitive sequences with reduced mappability. Our work demonstrates the power of combining CUT&RUN with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development. Overall design: CUT&RUN in 6hpf zebrafish embryos for H3K27me3 H3K4me3 H3K9me3 and pol II. Experiments performed in duplicate with an IgG control. | L 3 | L 3 | strain:not collected|isolate:Similar in size|breed:AB wild type|ecotype:Illumina sequencing|age:4 months|dev stage:adult|sex:not collected|tissue:Liver and brain|biomaterial provider:CZRC|replicate:replicate =L 3|BioSampleModel:Model organism or animal | L 3 | FRAS210007515 3r | FRAS210007515 3r | 0.8g/L;h=96h;zebrafish | RNA-Seq | TRANSCRIPTOMIC | PCR | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP324442 | L_96h_3_1.fq.gz L_96h_3_2.fq.gz | fastq fastq | 6466250400.0 | 21554168.0 | L 96h 3 1.fq.gz | 0:150 1:150 | A:1702486578;C:1534421173;G:1535282758;T:1693909718;N:150173 | 150 | 150 | 1702486578 | 1534421173 | 1535282758 | 1693909718 | 150173 | SRX11311648 | SRS9340845 | SRA1252645 | Shandong Normal University|School of geography and environment | Genetics, University of Goergia | 2 | 0.94324 | 0.94217 | 0.03039 | 0.02989 | 0.70278 | 0.70418 | 0.49161 | 0.49083 | 150 | 150 | B | B | biological fallback assumption | illumina | novaseq_era | unknown | random_priming | unknown | bulk | unknown | unknown | United States | 2021-06-30 | Adult | Adult | Multi-tissue | Multi-system | ||||||||||||||||||||
| 64978 | 64978 | SRR14999371 | SRX11311647 | SRS9340846 | SRP324442 | PRJNA738523 | Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag | GSE178343 | Other | Here we describe successful implementation of CUT&RUN for profiling protein DNA interactions in zebrafish embryos. We apply modified a CUT&RUN method to generate high resolution maps of enrichment for H3K4me3 H3K27me3 H3K9me3 and RNA polymerase II during zebrafish gastrulation. Using this data we identify a conserved subset of developmental genes that are enriched in both H3K4me3 and H3K27me3 during gastrulation and we demonstrate the increased effectiveness of CUT&RUN for detecting protein enrichment at repetitive sequences with reduced mappability. Our work demonstrates the power of combining CUT&RUN with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development. Overall design: CUT&RUN in 6hpf zebrafish embryos for H3K27me3 H3K4me3 H3K9me3 and pol II. Experiments performed in duplicate with an IgG control. | L 2 | L 2 | strain:not collected|isolate:Similar in size|breed:AB wild type|ecotype:Illumina sequencing|age:4 months|dev stage:adult|sex:not collected|tissue:Liver and brain|biomaterial provider:CZRC|replicate:replicate =L 2|BioSampleModel:Model organism or animal | L 2 | FRAS210007515 2r | FRAS210007515 2r | 0.8g/L;h=96h;zebrafish | RNA-Seq | TRANSCRIPTOMIC | PCR | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP324442 | L_96h_2_1.fq.gz L_96h_2_2.fq.gz | fastq fastq | 6804970800.0 | 22683236.0 | L 96h 2 1.fq.gz | 0:150 1:150 | A:1788345091;C:1614590700;G:1621811406;T:1780069163;N:154440 | 150 | 150 | 1788345091 | 1614590700 | 1621811406 | 1780069163 | 154440 | SRX11311647 | SRS9340846 | SRA1252645 | Shandong Normal University|School of geography and environment | Genetics, University of Goergia | 2 | 0.94141 | 0.94045 | 0.03027 | 0.0302 | 0.70207 | 0.70234 | 0.48625 | 0.48905 | 150 | 150 | B | B | biological fallback assumption | illumina | novaseq_era | unknown | random_priming | unknown | bulk | unknown | unknown | United States | 2021-06-30 | Adult | Adult | Multi-tissue | Multi-system |
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CREATE TABLE run_metadata("run.accession" VARCHAR, "experiment.accession" VARCHAR, "sample.accession" VARCHAR, "study.accession" VARCHAR, bioproject VARCHAR, "study.title" VARCHAR, "study.alias" VARCHAR, "study.type" VARCHAR, "study.abstract" VARCHAR, "study.attributes" VARCHAR, "study.PMIDs" VARCHAR, "sample.description" VARCHAR, "sample.title" VARCHAR, "sample.alias" VARCHAR, "sample.centername" VARCHAR, "sample.attributes" VARCHAR, "GEOsample.title" VARCHAR, "GEOsample.dataprocessing" VARCHAR, "GEOsample.source" VARCHAR, "GEOsample.treatmentprotocol" VARCHAR, "GEOsample.extractprotocol" VARCHAR, "GEOsample.growthprotocol" VARCHAR, "GEOsample.characteristics" VARCHAR, "GEOsample.accession" VARCHAR, "experiment.title" VARCHAR, "experiment.alias" VARCHAR, "experiment.library_name" VARCHAR, "experiment.design_description" VARCHAR, "experiment.library_construction_protocol" VARCHAR, "experiment.attributes" VARCHAR, "experiment.library_strategy" VARCHAR, "experiment.library_source" VARCHAR, "experiment.library_selection" VARCHAR, "experiment.library_layout" VARCHAR, "experiment.platform" VARCHAR, "experiment.instrument_model" VARCHAR, "experiment.spot_descriptor" VARCHAR, "experiment.study_ref" VARCHAR, "run.title" VARCHAR, "run.attributes" VARCHAR, "run.filename" VARCHAR, "run.semantic_name" VARCHAR, "run.total_bases" DOUBLE, "run.total_spots" DOUBLE, "run.alias" VARCHAR, "run.read_lengths" VARCHAR, "run.base_counts" VARCHAR, "run.r1_length" BIGINT, "run.r2_length" BIGINT, "run.r3_length" BIGINT, "run.r4_length" BIGINT, "run.Acount" BIGINT, "run.Ccount" BIGINT, "run.Gcount" BIGINT, "run.Tcount" BIGINT, "run.Ncount" BIGINT, "run.experiment" VARCHAR, "run.pool_member" VARCHAR, "submission.accession" VARCHAR, "submission.srasource" VARCHAR, "submission.bioprojectsource" VARCHAR, "seqdetective.n_mates" BIGINT, "seqdetective.mapping_rate.mate1" DOUBLE, "seqdetective.mapping_rate.mate2" DOUBLE, "seqdetective.nofeature_rate.mate1" DOUBLE, "seqdetective.nofeature_rate.mate2" DOUBLE, "seqdetective.sparsity.mate1" DOUBLE, "seqdetective.sparsity.mate2" DOUBLE, "seqdetective.pos_strand_rate.mate1" DOUBLE, "seqdetective.pos_strand_rate.mate2" DOUBLE, "seqdetective.readlen.mate1" BIGINT, "seqdetective.readlen.mate2" BIGINT, "seqdetective.judgement.mate1" VARCHAR, "seqdetective.judgement.mate2" VARCHAR, "seqdetective.judgement.reason" VARCHAR, platform_family VARCHAR, instrument_generation VARCHAR, read_bias VARCHAR, selection_class VARCHAR, prep_kit VARCHAR, sc_or_bulk VARCHAR, tech_class VARCHAR, technology VARCHAR, tech_variant VARCHAR, "submission.bioprojectsource.country" VARCHAR, earliest_date DATE, devstage_curation VARCHAR, devstage_curation_coarse VARCHAR, tissue_curation VARCHAR, tissue_curation_coarse VARCHAR);;
CREATE INDEX idx_run_bioproject ON run_metadata(bioproject);;
CREATE INDEX idx_run_run_accession ON run_metadata("run.accession");;