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2017 ; 33
(10
): 1554-1560
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miRmine: a database of human miRNA expression profiles
#MMPMID28108447
Panwar B
; Omenn GS
; Guan Y
Bioinformatics
2017[May]; 33
(10
): 1554-1560
PMID28108447
show ga
MOTIVATION: MicroRNAs (miRNAs) are small non-coding RNAs that are involved in
post-transcriptional regulation of gene expression. In this high-throughput
sequencing era, a tremendous amount of RNA-seq data is accumulating, and full
utilization of publicly available miRNA data is an important challenge. These
data are useful to determine expression values for each miRNA, but quantification
pipelines are in a primitive stage and still evolving; there are many factors
that affect expression values significantly. RESULTS: We used 304 high-quality
microRNA sequencing (miRNA-seq) datasets from NCBI-SRA and calculated expression
profiles for different tissues and cell-lines. In each miRNA-seq dataset, we
found an average of more than 500 miRNAs with higher than 5x coverage, and we
explored the top five highly expressed miRNAs in each tissue and cell-line. This
user-friendly miRmine database has options to retrieve expression profiles of
single or multiple miRNAs for a specific tissue or cell-line, either normal or
with disease information. Results can be displayed in multiple interactive,
graphical and downloadable formats. AVAILABILITY AND IMPLEMENTATION:
http://guanlab.ccmb.med.umich.edu/mirmine. CONTACT: bharatpa@umich.edu.
SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics
online.