Project description:Genetic characterization of ancient European chestnut trees (Castanea sativa Mill.) assessed through chloroplast DNA sequence and nuclear SSR in Central and Southern Italy
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.
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.
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.
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.
Project description:This Series contains data from 845 participants (188 men and 657 women) in the EPIC-Italy cohort that was produced at the Human Genetics Foundation (HuGeF) in Turin, Italy. At the last follow-up (2010), 424 participants remained cancer-free, 235 had developed primary breast cancer, 166 had developed primary colorectal cancer, and 20 had developed other primary cancers. Anthropometric measurements, and dietary and lifestyle information obtained by questionnaire are also available.
Project description:This Series contains data from 845 participants (188 men and 657 women) in the EPIC-Italy cohort that was produced at the Human Genetics Foundation (HuGeF) in Turin, Italy. At the last follow-up (2010), 424 participants remained cancer-free, 235 had developed primary breast cancer, 166 had developed primary colorectal cancer, and 20 had developed other primary cancers. Anthropometric measurements, and dietary and lifestyle information obtained by questionnaire are also available. A total of 845 samples from the EPIC-Italy cohort were analyzed.