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Prostate cancer somatic genomic sequencing data generated from 2011 onwards under auspices of the International Cancer Genome Consortium Prostate Cancer UK consortium (CRUK-ICGC Prostate Group), co-led by Colin Cooper and Ros Eeles, with other Principal Investigators (Brewer, Neal, Bova, McDermott, ...
We report genome-wide maps of transcription in mouse erythroid cells. We used an approach to survey poly(A)+ (mRNA) (GSE26877) and non-polyadenylated RNA poly(A)- (GSE27920) separately. This provides an alternative framework for comprehensive transcriptome profiling in mammalian cells. Two Samples. ...
ORGANISM(S): Mus musculus 
The population history of Aboriginal Australians remains largely uncharacterised. We generated high-coverage genomes for 83 Aboriginal Australians (speakers of Pama-Nyungan languages) and 25 Papuans from the New Guinea Highlands. We find that Papuan and Aboriginal Australian ancestors diversified 25...
Rationale: The fibrosing idiopathic interstitial pneumonias (IIPs) are classified based on clinical, radiographic, and pathologic criteria. The separation into phenotypic subgroups is useful in predicting outcome and therapeutic strategy; however a large degree of ambiguity remains. Gene expression ...
ORGANISM(S): Homo sapiens 
Rationale: The fibrosing idiopathic interstitial pneumonias (IIPs) are classified based on clinical, radiographic, and pathologic criteria. The separation into phenotypic subgroups is useful in predicting outcome and therapeutic strategy; however a large degree of ambiguity remains. Gene expression ...
ORGANISM(S): Homo sapiens 
This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
ORGANISM(S): Homo sapiens 
Mapped data (bam files) for high-throughput whole genome sequence data for 83 modern Aboriginal Australians
Genotype calls for 83 Aboriginal Australian genomes split by chromosomes. In short, genotypes were called individually with samtools. They were subsequently filtered with thresholds related to sequencing depth, location of variants, sequencing error, and strand bias. Once combined, the genotypes wer...
This dataset contains the per-chromosome RFMix input and output files for the local ancestry inference of 59 Aboriginal Australian genomes as reported in Malaspinas et al., 2016. Local ancestry was inferred assuming four mixing ancestral populations represented by: Europeans (27 individuals), Asians...
Alignement including 83 MT AA sequences and 2 reference sequences, rCRS and RSRS
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