Ontology highlight
ABSTRACT:
PROVIDER: PRJNA797667 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17631700_1.fastq.gz | Fastqsanger.gz | |||
| SRR17631700_2.fastq.gz | Fastqsanger.gz | |||
| SRR17631701_1.fastq.gz | Fastqsanger.gz | |||
| SRR17631701_2.fastq.gz | Fastqsanger.gz | |||
| SRR17631702_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 82 |
Similar Datasets
Project description:A major effort is underway to study the natural variation within the model plant species, Arabidopsis thaliana. Much of this effort is focused on genome resequencing, however the translation of genotype to phenotype will be largely effected through variations within the transcriptomes at the sequence and expression levels. To examine the cross-talk between natural variation in genomes and transcriptomes, we have examined the transcriptomes of three divergent A. thaliana accessions using tiling arrays. Combined with genome resequencing efforts, we were able to adjust the tiling array datasets to account for polymorphisms between the accessions and therefore gain a more accurate comparison of the transcriptomes. The corrected results for the transcriptomes allowed us to correlate higher gene polymorphism with greater variation in transcript level among the accessions. Our results demonstrate the utility of combining genomic data with tiling arrays to assay non-reference accession transcriptomes.
2012-05-22 | GSE38109 | GEO
Project description:A major effort is underway to study the natural variation within the model plant species, Arabidopsis thaliana. Much of this effort is focused on genome resequencing, however the translation of genotype to phenotype will be largely effected through variations within the transcriptomes at the sequence and expression levels. To examine the cross-talk between natural variation in genomes and transcriptomes, we have examined the transcriptomes of three divergent A. thaliana accessions using tiling arrays. Combined with genome resequencing efforts, we were able to adjust the tiling array datasets to account for polymorphisms between the accessions and therefore gain a more accurate comparison of the transcriptomes. The corrected results for the transcriptomes allowed us to correlate higher gene polymorphism with greater variation in transcript level among the accessions. Our results demonstrate the utility of combining genomic data with tiling arrays to assay non-reference accession transcriptomes.
2012-03-12 | GSE24669 | GEO
Project description:This study evaluates a resequencing microarray designed to determine the sequence of the four major genes in the Ebolavirus genome, Nucleoprotein (NP), matrix protein (VP40), glycoprotein (GP) and polymerase (L). The array has the ability to determine the sequence of five species and strains: Zaire Ebolavirus (Mayinga and Makona), Bundibugyo Ebolavirus, Sudan Ebolavirus and Tai Forest Ebolavirus.
2021-01-29 | E-MTAB-10007 | biostudies-arrayexpress
Project description:The Chinese chestnut (Castanea mollissima) stands out as a plant with significant ecological and economic value, excellent nutritional quality and natural resistance to pests and diseases. Recent strides in high-throughput techniques have enabled the continuous accumulation of genomic data on chestnuts, presenting a promising future for genetic research and advancing traits in this species. To facilitate the accessibility and utility of this data, we have curated and validated a collection of genomic datasets for eight Castanea species, 213 RNA-Seq samples, and 348 resequencing samples. These datasets are publicly available on figshare, providing a robust resource for researchers studying Castanea genetics, functional genomics, and evolutionary biology. Additionally, the Castanea Genome Database (CGD, http://castaneadb.net) serves as a complementary platform, offering advanced data mining and analysis tools, including BLAST, Batch Query, GO/KEGG Enrichment Analysis, and Synteny Viewer, to enhance the usability of the curated datasets.
2024-12-24 | GSE284510 | GEO
Project description:The Chinese chestnut (Castanea mollissima) stands out as a plant with significant ecological and economic value, excellent nutritional quality and natural resistance to pests and diseases. Recent strides in high-throughput techniques have enabled the continuous accumulation of genomic data on chestnuts, presenting a promising future for genetic research and advancing traits in this species. To facilitate the accessibility and utility of this data, we have curated and validated a collection of genomic datasets for eight Castanea species, 213 RNA-Seq samples, and 348 resequencing samples. These datasets are publicly available on figshare, providing a robust resource for researchers studying Castanea genetics, functional genomics, and evolutionary biology. Additionally, the Castanea Genome Database (CGD, http://castaneadb.net) serves as a complementary platform, offering advanced data mining and analysis tools, including BLAST, Batch Query, GO/KEGG Enrichment Analysis, and Synteny Viewer, to enhance the usability of the curated datasets.
2024-12-24 | GSE284518 | GEO
Project description:The Chinese chestnut (Castanea mollissima) stands out as a plant with significant ecological and economic value, excellent nutritional quality and natural resistance to pests and diseases. Recent strides in high-throughput techniques have enabled the continuous accumulation of genomic data on chestnuts, presenting a promising future for genetic research and advancing traits in this species. To facilitate the accessibility and utility of this data, we have curated and validated a collection of genomic datasets for eight Castanea species, 213 RNA-Seq samples, and 348 resequencing samples. These datasets are publicly available on figshare, providing a robust resource for researchers studying Castanea genetics, functional genomics, and evolutionary biology. Additionally, the Castanea Genome Database (CGD, http://castaneadb.net) serves as a complementary platform, offering advanced data mining and analysis tools, including BLAST, Batch Query, GO/KEGG Enrichment Analysis, and Synteny Viewer, to enhance the usability of the curated datasets.
2024-12-24 | GSE284517 | GEO
Project description:The Chinese chestnut (Castanea mollissima) stands out as a plant with significant ecological and economic value, excellent nutritional quality and natural resistance to pests and diseases. Recent strides in high-throughput techniques have enabled the continuous accumulation of genomic data on chestnuts, presenting a promising future for genetic research and advancing traits in this species. To facilitate the accessibility and utility of this data, we have curated and validated a collection of genomic datasets for eight Castanea species, 213 RNA-Seq samples, and 348 resequencing samples. These datasets are publicly available on figshare, providing a robust resource for researchers studying Castanea genetics, functional genomics, and evolutionary biology. Additionally, the Castanea Genome Database (CGD, http://castaneadb.net) serves as a complementary platform, offering advanced data mining and analysis tools, including BLAST, Batch Query, GO/KEGG Enrichment Analysis, and Synteny Viewer, to enhance the usability of the curated datasets.
2024-12-24 | GSE284516 | GEO