Similar Datasets
Project description:shenzhen bay nanopore metagenomic sequencing Metagenome
| PRJNA753671 | ENA
Project description:shenzhen bay illumina metagenomic sequencing Metagenome Metagenome
| PRJNA753990 | ENA
Project description:We performed DNase-seq on 7-day-old seedlings from four A. thaliana accessions: Bur-0, Tsu-0, Bay-0, Est-1 using INTACT constructs (Deal and Henikoff, Developmental Cell, 2010) driven by the UBQ10 promoter. Chromatin accessibility profiling (Dnase I-seq) of 7-day-old seedlings of A. thaliana accessions: Bur-0, Tsu-0, Bay-0 & Est-1 grown in LD conditions (16hr light 22°C, 8hr dark 20°C).
2013-12-15 | E-GEOD-53323 | biostudies-arrayexpress
Project description:Methanogens in the Shenzhen River-bay System in South China Raw sequence reads
| PRJNA601619 | ENA
Project description:RNA-seq analysis was performed by BGI-Tech of China, and RNA-seq library preparation and sequencing were performed by BGI (Shenzhen, China).
2017-06-13 | GSE89930 | GEO
Project description:Due to difficulties inherent in designating conservation units for effective species management and conservation, the use of multiple complementary sources of information is required to identify and assess the designation of conservation units based on the degree of variation among populations within a species. In this study, we combined estimates of microsatellite and transcriptomic variation to assess the population structure and potential for adaptive variation of threatened Atlantic salmon, Salmo salar, among rivers in the Bay of Fundy. In general, population structure identified by genetic differentiation was consistent with the patterns of variation in gene expression. Both data sets provided clear indication of strong regional differentiation between rivers located within the inner Bay of Fundy relative to rivers located within the outer Bay of Fundy or the Southern Uplands region. There was also support for more refined population structure; there was some differentiation in both microsatellite and gene expression patterns between salmon from rivers in the two regions of the inner Bay of Fundy: Chignecto Bay and Minas Basin. Consistent patterns apparent in the genetic and transcriptomic dataset indicate that Atlantic salmon populations from the inner and outer Bay of Fundy reflect unique genetic lineages, with some evidence of unique genetic legacies between regions of the inner Bay of Fundy, and even between individual rivers within a region. Consistency of the microarray data across two years helps to validate the use of this technique as a useful tool in assessment of variation among wild populations for species conservation.
2009-11-25 | GSE19119 | GEO
Project description:Due to difficulties inherent in designating conservation units for effective species management and conservation, the use of multiple complementary sources of information is required to identify and assess the designation of conservation units based on the degree of variation among populations within a species. In this study, we combined estimates of microsatellite and transcriptomic variation to assess the population structure and potential for adaptive variation of threatened Atlantic salmon, Salmo salar, among rivers in the Bay of Fundy. In general, population structure identified by genetic differentiation was consistent with the patterns of variation in gene expression. Both data sets provided clear indication of strong regional differentiation between rivers located within the inner Bay of Fundy relative to rivers located within the outer Bay of Fundy or the Southern Uplands region. There was also support for more refined population structure; there was some differentiation in both microsatellite and gene expression patterns between salmon from rivers in the two regions of the inner Bay of Fundy: Chignecto Bay and Minas Basin. Consistent patterns apparent in the genetic and transcriptomic dataset indicate that Atlantic salmon populations from the inner and outer Bay of Fundy reflect unique genetic lineages, with some evidence of unique genetic legacies between regions of the inner Bay of Fundy, and even between individual rivers within a region. Consistency of the microarray data across two years helps to validate the use of this technique as a useful tool in assessment of variation among wild populations for species conservation.
2009-11-25 | GSE19111 | GEO
Project description:To identify the gene expression changes in NRAS mutant cell line SKMEL-103, KRAS mutant cell line AsPC1 and HRAS mutant cell line RH-36 upon BAY 11-7082 treatment, we analyzed these cell line with either control DMSO or BAY 11-7082 treatment via RNA sequencing.
2024-08-08 | GSE251968 | GEO