Cichlidae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA853788 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. DNA copy number profiles generated with a new tool, ENCODER, were compared to DNA copy number profiles from SNP6, NimbleGen and low-coverage Whole Genome Sequencing.
2014-08-12 | GSE60254 | GEO
Project description:Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. DNA copy number profiles generated with a new tool, ENCODER, were compared to DNA copy number profiles from SNP6, NimbleGen and low-coverage Whole Genome Sequencing.
2014-08-12 | GSE60168 | GEO
Project description:Comparative chromatin conformation analysis of allopolyploid Trichosporon fungi and close relatives
| PRJDB6681 | ENA
Project description:NBRP medaka: Medaka and its close relatives genome sequencing and assembly
| PRJNA835402 | ENA
Project description:We characterised the genome organization in non-bilaterian animals (sponge Ephydatia muelleri, ctenophores Mnemiopsis leidyi and Hormiphora californensis, placozoans Trichoplax adhaerens and Cladtertia collaboinventa, and cnidarian Nematostella vectensis) and close unicellular relatives (ichthyosporeans Sphaeroforma arctica, filasterean Capsaspora owczarzaki and choanoflagellate Salpingoeca rosetta) by combining high-resolution chromosome conformation capture (Micro-C) with profiling of chromatin marks (ChIP-seq), accessible genomic regions (ATAC-seq) and gene expression (MARS-seq).
2025-03-11 | GSE260569 | GEO
Project description:We characterised the genome organization in non-bilaterian animals (sponge Ephydatia muelleri, ctenophores Mnemiopsis leidyi and Hormiphora californensis, placozoans Trichoplax adhaerens and Cladtertia collaboinventa, and cnidarian Nematostella vectensis) and close unicellular relatives (ichthyosporeans Sphaeroforma arctica, filasterean Capsaspora owczarzaki and choanoflagellate Salpingoeca rosetta) by combining high-resolution chromosome conformation capture (Micro-C) with profiling of chromatin marks (ChIP-seq), accessible genomic regions (ATAC-seq) and gene expression (MARS-seq).
2025-03-11 | GSE260568 | GEO
Project description:Replicated divergence in cichlid radiations mirrors a major vertebrate innovation
| PRJNA293437 | ENA