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This SuperSeries is composed of the following subset Series: GSE8748: Chromosomal clustering of genes in trithorax (trx) mutant larvae GSE8750: Chromosomal clustering of genes in absent, small, or homeotic discs 2 (ash2) mutant larvae Keywords: SuperSeries Refer to individual Series
ORGANISM(S): Drosophila melanogaster 
SAP18 is a highly evolutionarily conserved protein found in all eukaryotic organisms from Saccharomycces cerevisiae to humans. It has been proposed to be involved in multiple cellular processes, from gene regulation to mRNA processing, playing different cellular functions, such as cell fate control ...
ORGANISM(S): Drosophila melanogaster 
We have performed a systematic examination of genome-wide expression profiles using microarrays to reconstruct a global picture of the trx regulatory gene network in D. melanogaster. Using computational analysis of the microarray data, we have identified 25 clusters of genes potentially regulated by...
ORGANISM(S): Drosophila melanogaster 
We have performed a systematic examination of genome-wide expression profiles using microarrays to reconstruct a global picture of the trx regulatory gene network in D. melanogaster. Using computational analysis of the microarray data, we have identified 25 clusters of genes potentially regulated by...
ORGANISM(S): Drosophila melanogaster 
Research on the ability of certain organisms to reconstruct missing structures of their bodies is still in its infancy, despite numerous efforts performed in multiple species. Using expression profile analyses on different timepoints that cover wound healing and regeneration processes (0, 24 and 72 ...
ORGANISM(S): Drosophila melanogaster 
Raw fastq files from WGS sequencing of CLL and matching blood normal for the ICGC Techval Benchmark1 study. Sequence data was provided to multiple centers for independent analysis and comparison.
Raw fastq files for sequence data generated at 5 sequencing centers from a Medulloblastoma sample and matching blood normal control.
As whole genome sequencing for cancer genome analysis becomes a clinical tool, a full understanding of the variables affecting sequencing analysis output is required. Using tumor-normal sample pairs from two different types of cancer, chronic lymphocytic leukemia and medulloblastoma, we conducted a ...
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