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 »miRCat2 – Accurate prediction of plant and animal microRNAs from next-generation sequencing datasets
MicroRNAs are a class of _21-22 nucleotide small RNAs which are excised from a stable hairpin-like secondary structure. They have important gene regulatory functions and are involved in many pathways including developmental timing, organogenesis and development in eukaryotes. There are ...
Read More »miRge – A Multiplexed Method of Processing Small RNA-Seq Data to Determine MicroRNA Entropy
Small RNA RNA-seq for microRNAs (miRNAs) is a rapidly developing field where opportunities still exist to create better bioinformatics tools to process these large datasets and generate new, useful analyses. Researchers at Johns Hopkins University School of Medicine have built ...
Read More »miRPlant – an integrated tool for identification of plant miRNA from RNA sequencing data
Small RNA sequencing is commonly used to identify novel miRNAs and to determine their expression levels in plants. There are several miRNA identification tools for animals such as miRDeep, miRDeep2 and miRDeep*. miRDeep-P was developed to identify plant miRNA using ...
Read More »eRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing
RNA sequencing (RNA-seq) is emerging as a critical approach in biological research. However, its high-throughput advantage is significantly limited by the capacity of bioinformatics tools. The research community urgently needs user-friendly tools to efficiently analyze the complicated data generated by ...
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