Ontology highlight
ABSTRACT:
PROVIDER: PRJNA645029 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR12183657.fastq.gz | Fastqsanger.gz | |||
| SRR12183658.fastq.gz | Fastqsanger.gz | |||
| SRR12183659.fastq.gz | Fastqsanger.gz | |||
| SRR12183660.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 22 |
Similar Datasets
Project description:Nucleotide sequence accession number
The nucleotide sequence of Escherichia virus EcS1 was
deposited in the DDBJ database under accession number
LC371242.
2019-10-23 | PXD011454 | JPOST Repository
Project description:BJAB cells were infected with pNL-SIN-CMV-AcGFP (see accession number GSE8867 for data) or pNL-SIN-CMV-AcGFP expressing KSHV miR-K1, miR-K12-11 or miR-K4-3p and sorted 48 hours after infection. 12 or 16 days after transduction, cytoplasmic RNA was harvested and gene expression analysis of independent BJAB cell pools was performed using Human Operon v3.0.2 arrays. Each sample was run against Universal Human Reference RNA, Stratagene. The samples listed here were processed in parallel to those with accession number GSE8867, which includes all matched control cell lines.
2011-11-16 | GSE31746 | GEO
Project description:We have sequenced the whole genome of Cleome hassleriana by NGS [SRA accession number SRA058749] and build a reference sequence for this genome. In order to improve quality of gene models, a mix transcriptome sample extracted from the bud, leaf, petiole, stems and flowers of Cleome.
2013-05-01 | GSE41092 | GEO
Project description:Genome-wide DNA copy number profiling of gastric tumors and matched non-maligant samples to determine patterns of copy-number loss. Other samples included in this study can be found under accession number GSE31168.
2017-02-09 | GSE67965 | GEO
Project description:Bacterial mock community, species derived from eight different genera, including Alcaligenes sp. (Accession number JF698681), Arthrobacter sp. (Accession number FJ851358), Bacillus sp. (Accession number KU556329), Cupriavidus sp. (Accession number KU
| PRJNA623498 | ENA
Project description:In order to evaluate the performance of CNV detection in next-generation sequencing platform in varied sample types, we employed chromosomal microarray analysis (CMA) for validation of the samples with NGS-based detection results (NCBI Sequence Read Archive with accession number SRA296708). Besides array Comparative Genomics Hybridization (aCGH, Agilent) , we used a commerical SNP-array (Illumina) including early abortus, induced termination, prenatal samples and postnatal samples. CMA results were compared with NGS-based detection results. 100% consistency was obtained between NGS-based approach and CMA in pathogenic or likely pathogenic CNVs detection.
2015-10-01 | GSE73190 | GEO
Project description:We investigated the toxicity of soil samples derived from a former municipal landfill site in the South of the Netherlands, where a bioremediation project is running aiming at reusing the site for recreation. Both an organic soil extract and the original soil sample was investigated using the ISO standardised Folsomia soil ecotoxicological testing and gene expression analysis. The 28 day survival/reproduction test revealed that the ecologically more relevant original soil sample was more toxic than the organic soil extract. Microarray analysis showed that the more toxic soil samples induced gene regulatory changes in twice as less genes compared to the soil extract. Consequently gene regulatory changes were highly dependent on sample type, and were to a lesser extent caused by exposure level. An important biological process shared among the two sample types was the detoxification pathway for xenobiotics (biotransformation I, II and III) suggesting a link between compound type and observed adverse effects. Finally, we were able to retrieve a selected group of genes that show highly significant dose-dependent gene expression and thus were tightly linked with adverse effects on reproduction. Expression of four cytochrome P450 genes showed highest correlation values with reproduction, and maybe promising genetic markers for soil quality. However, a more elaborate set of environmental soil samples is needed to validate the correlation between gene expression induction and adverse phenotypic effects.
2012-04-16 | GSE37154 | GEO
Project description:Root transcriptomes of acidic soil adapted rice genotypes viz. Sahbhagi Dhan (SD) and Chakhao Poreiton (CP) was done in response to low phosphorus (P) levels. RNAseq approach after 15 days of low P treatment was employed to understand long term molecular processes involved in low P tolerance. Note: Samples in SRA were assigned the same sample accession. This is incorrect as there are different samples, hence âSource Nameâ was replaced with new values. Comment[ENA_SAMPLE] contains the original SRA sample accessions.
2015-06-08 | E-MTAB-4431 | biostudies-arrayexpress
Project description:In order to evaluate the performance of CNV detection in next-generation sequencing platform in varied sample types, we employed chromosomal microarray analysis (CMA) for validation of the samples with NGS-based detection results (NCBI Sequence Read Archive with accession number SRA296708). Besides snp-array, we used a customized array Comparative Genomics Hybridization (aCGH, Agilent) approach for a cohort of clinical samples including early abortus, induced termination, prenatal samples and postnatal samples. CMA results were compared with NGS-based detection results. 100% consistency was obtained between NGS-based approach and CMA in pathogenic or likely pathogenic CNVs detection.
2015-10-01 | GSE72891 | GEO