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TranscriptomicsPatterns of Population Epigenomic Diversity in Arabidopsis thaliana (RNA-Seq)
Natural epigenetic variation provides a source for the generation of phenotypic diversity, but to understand its contribution to phenotypic diversity, its interaction with genetic variation requires further investigation. Here, we report population-wide DNA sequencing of genomes, transcriptomes, and...
ORGANISM(S): Arabidopsis thaliana 
2013-03-05 | E-GEOD-43858 | biostudies-arrayexpress
GenomicsPatterns of Population Epigenomic Diversity in Arabidopsis thaliana (Methyl-Seq)
Natural epigenetic variation provides a source for the generation of phenotypic diversity, but to understand its contribution to phenotypic diversity, its interaction with genetic variation requires further investigation. MethylC-seq from naturally-occurring Arabidopsis accessions
ORGANISM(S): Arabidopsis thaliana 
2013-03-05 | E-GEOD-43857 | biostudies-arrayexpress
TranscriptomicsGenome-wide identification of non-coding RNAs targeted by XRN exoribonucleases in collaboration with FRY1 using RNA-Seq in Arabidopsis thaliana.
We report new insight of non-coding RNA degradation mediated by XRN exoribonucleases and FRY1 in Arabidopsis thaliana. We suggest that XRN3, in combination with FRY1, is required to prevent the accumulation of 3’ extensions that arise from thousands of mRNA and miRNA precursor transcripts. Examinati...
ORGANISM(S): Arabidopsis thaliana 
2012-05-02 | E-GEOD-34654 | biostudies-arrayexpress
UnknownDisruption of chromatin folding domains by somatic genomic rearrangements in human cancer.
Not available
S-EPMC7058537 | biostudies-literature
UnknownComprehensive molecular characterization of mitochondrial genomes in human cancers.
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S-EPMC7058535 | biostudies-literature
UnknownRetrospective evaluation of whole exome and genome mutation calls in 746 cancer samples.
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S-EPMC7505971 | biostudies-literature
UnknownHigh-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations.
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S-EPMC7002524 | biostudies-literature
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S-EPMC7058534 | biostudies-literature
UnknownA deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns.
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S-EPMC7002586 | biostudies-literature
UnknownThe landscape of viral associations in human cancers.
Not available
S-EPMC8076016 | biostudies-literature
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