Ontology highlight
ABSTRACT:
PROVIDER: PRJNA932454 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR23513619_1.fastq.gz | Fastqsanger.gz | |||
| SRR23513621_1.fastq.gz | Fastqsanger.gz | |||
| SRR23513623_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 4 of 4 |
Similar Datasets
Project description:Methanosphaera population genome binning from publicly available SRA datasets
| PRJNA362975 | ENA
Project description:Assembly of cell fusing agent virus from publicly available sequencing datasets
| PRJEB33801 | ENA
Project description:Pre-clinical studies reported the immunogenic or immunomodulatory effects of traditional cancer therapies. However, the publicly available well-curated and harmonized breast cancer datasets, such as TCGA, METABRIC, and MetaGxBreast, lack careful curation of treatment regimens. Hence, limited exploration of the impact of therapies on the prognostic/predictive value of breast cancer biomarkers. Herein, we describe a pooled and treatment-curated gene-expression dataset to investigate the impact of treatments on the prognostic/predictive value of biomarkers. We searched the gene expression omnibus database to identify potential human breast cancer gene-expression datasets with anthracycline/taxane treatment. Published datasets with the detailed treatment regimen, clinical endpoint, clinical-pathological, and gene-expression data were extracted and harmonized. The dataset described herein would help researchers explore the interaction between gene-expression biomarkers and immunogenic/immunomodulatory treatments in breast cancer.
2024-03-09 | GSE205568 | 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
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:This is a collection of diverse publicly available macrophage datasets. The datasets belong to three different platforms and all normalized together using modified CDF files.
2019-07-16 | GSE134312 | GEO
Project description:We report a ChIP-seq analysis of the CpG binding protein CFP1 and related proteins to study regulation of chromatin in transcribed genes in erythroblasts and EBV-transformed B-lymphoblasts. We generated multiple ChIP datasets and compared these to publicly available ChIP datasets.
2018-10-15 | GSE114084 | GEO
Project description:This is a collection of diverse publicly available mouse macrophage datasets and is also a subset of GSE119085. The datasets belong to GPL1261 platform and all normalized together with samples from GSE119085.
2019-08-03 | GSE135324 | GEO