The phrase "accumulated transcriptome data" is correct and usable in written English.
It can be used in scientific or research contexts, particularly in discussions related to genomics, molecular biology, or bioinformatics.
Example: "The researchers analyzed the accumulated transcriptome data to identify gene expression patterns across different conditions."
Alternatives: "compiled transcriptome data" or "gathered transcriptome data".
To accumulate transcriptome data, various data repositories are now available, including NASCArrays, GEO, SMD, ArrayExpress, and AtGenExpress, which collectively provide more than 4753 microarray data points (3 September 2009).
In addition, more and more exon and intron information is being accumulated from transcriptome data, leading the potential to enhance the orthology relationship from the gene/transcript level to the exon level.
However, as transcriptome data have accumulated, it has become increasingly clear that antisense transcription is a major feature of prokaryotic and eukaryotic genome expression [ 59].
Recently, researchers have accumulated a large amount of time-course transcriptome data collected under different treatment conditions to understand the physiological states of cells in response to extracellular stimuli and to identify drug-responsive genes.
In all, the union of Affymetrix® Soy GeneChip and Illumina® deep sequencing transcriptome data yielded 13 genes with differentially accumulating transcripts that mapped to the protein QTL region at LG I on chromosome 20 (Tables 3 and 4).
In the resurrection plants C. plantagineum and H. rhodopensis, large-scale analysis of desiccation-tolerant transcriptome data showed that up to nine LEA genes are highly accumulated in desiccated leaves.
With the release of the maize genome, increasing amounts of transcriptome data; degradome data; and specific data on miRNAs, lincRNAs and mRNAs have been accumulated.
Transcriptome data is deposited in GEO, accession number GSE91383.
The transcriptome data are analyzed, including assembly and annotation.
High-throughput transcriptome sequencing provides large amounts of transcriptome data for gene discovery and the development of molecular markers.
