… , miRNAs hybridize almost perfectly to their target site along the entire mature sequence, …
In turn, this property not only simplifies the search for target sites but also suggests a higher …

… This review summarizes the key strategies for miRNA target identification. Several tools
for … of the potential miR-622 targets in breast cancer, using an integrated miRNA prediction …

… opportunity of miRNA target identification. Similarly, miRNA complementary sequences are
… ChemiRs is a web server that integrated various miRNA prediction methods and biological …

… basis for quantitatively integrating miRNAs into gene-regulatory networks. … the bound library
sequences identified miRNA target sites, and relative K d values for each of these sites were …

… In this way, we were able to identify features that are associated with miRNA target binding.
… improvements to the target prediction algorithm as well as integrate more heterogeneous …

… sequences from the database. To improve the availability of microRNA functional information,
we are disseminating Gene Ontology terms annotated against miRBase sequences. We …

… starBase integrates several data sets about miRNA … for identification of miRNAs and isomiRs
using NGS data. Single-nucleotide polymorphism (SNP) on miRNA or on miRNA target site …

… These are obtained either using miRNA target prediction … , or combining Ago binding sites
with miRNA target predictions (… not excluding all the sites identified by single programs that still …

… identified miRNA target sites. It also includes a list of somatic mutations in the … a diffusion
algorithm and constructs the integrated adjacent matrixes for miRNAs and diseases, SD and SM…

MicroRNAs (miRNAs) are a series of promising molecules that could regulate gene … , targeted
therapy, and prognosis of diseases. Improved detection accuracy of miRNAs would lead to …