MicroRNAs (miRNAs) are key post-transcriptional regulators that affect protein translation by targeting mRNAs. Their role in disease etiology and toxicity are well recognized. Given the rapid advancement of next-generation sequencing techniques, miRNA profiling has been increasingly conducted with RNA-seq, namely ...
Read More »QuickMIRSeq: a pipeline for quick and accurate quantification of both known miRNAs and isomiRs
http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1601-4 Genome-wide miRNA expression data can be used to study miRNA dysregulation comprehensively. Although many open-source tools for microRNA (miRNA)-seq data analyses are available, challenges remain in accurate miRNA quantification from large-scale miRNA-seq dataset. We implemented a pipeline called QuickMIRSeq ...
Read More »Small RNA sequencing reveals metastasis-related microRNAs in lung adenocarcinoma
The majority of lung cancer deaths are caused by metastatic disease. MicroRNAs (miRNAs) are posttranscriptional regulators of gene expression and miRNA dysregulation can contribute to metastatic progression. Here, researchers from Aarhus University used small RNA sequencing to profile the miRNA ...
Read More »TCGA2BED – extracting, extending, integrating, and querying The Cancer Genome Atlas
Data extraction and integration methods are becoming essential to effectively access and take advantage of the huge amounts of heterogeneous genomics and clinical data increasingly available. In this work, we focus on The Cancer Genome Atlas, a comprehensive archive of ...
Read More »Upcoming Webinar – Integrating microRNA-Seq and Gene Expression Data
December 2, 2015 11:00 a.m. PST San Francisco / 1:00 p.m. CST Chicago / 2:00 p.m. EST Boston MicroRNAs are small noncoding RNAs that interact with messenger RNAs and modulate gene expression. In this webinar, we will show you how Partek software can ...
Read More »Optimization of miRNA-seq data preprocessing
The past two decades of microRNA (miRNA) research has solidified the role of these small non-coding RNAs as key regulators of many biological processes and promising biomarkers for disease. The concurrent development in high-throughput profiling technology has further advanced our ...
Read More »Omics Pipe – A Computational Framework for Reproducible Multi-Omics Data Analysis
Omics Pipe is a computational framework for reproducible multi-omics data analysis that supports several next generation sequencing best practice pipelines, such as RNA-seq, miRNA-seq, Exome-seq, whole genome-seq and ChIP-seq. The purpose of Omics Pipe is to provide researchers with an ...
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