v2ray官网免费永久加速-快连加速器app
v2ray官网免费永久加速-快连加速器app
v2ray官网免费永久加速-快连加速器app
Funded by National Institutes of Health (NIH)/NCI 1U01CA180982-01A1 under ITCR Initiative
苹果旋风加速器app下载 (short for miRNAs or miRs) are small, non-coding RNA molecules that regulate the expression of their respective target proteins. As such, miRNAs are associated with the development, diagnosis, treatment, and prognosis of various human diseases.
The complete elucidation of miRNA interactions requires more than a list of biologically validated miRNA targets, as these could represent a subset of the possibly hundreds of targets. miRNA target prediction databases can fill potential gaps. However, the ~30 such databases use different prediction algorithms and use heterogeneous semantics, preventing easy comparison. In addition, gene expression, protein function, and impacted processes are critical pieces of information for biologists to determine the impact of miRNAs.
OmniSearch software was developed to handle the significant challenge of miRNA-related data integration and query. It will significantly assist biologists, bioinformaticians, and clinical investigators to unravel critical roles performed by different microRNAs in human disease.
Start using OmniSearch UI here, and the source code can be accessed here.
Before posting a new comment, browse Recent Discussions or search existing discussions below.
Email Author: huang@southalabama.edu