You are here

Home

Web Based

miRdSNP

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Single nucleotide polymorphisms (SNPs) can lead to the susceptibility and onset of diseases through their effects on gene expression at the posttranscriptional level. Recent findings indicate that SNPs could create, destroy, or modify the efficiency of miRNA binding to the 3'UTR of a gene, resulting in gene dysregulation. With the rapidly growing number of published disease-associated SNPs (dSNPs), there is a strong need for resources specifically recording dSNPs on the 3'UTRs and their nucleotide distance from miRNA target sites.

Rating: 
Average: 5 (1 vote)

PAGED

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Over the past decade, pathway and gene-set enrichment analysis has evolved into the study of high-throughput functional genomics. Owing to poorly annotated and incomplete pathway data, researchers have begun to combine pathway and gene-set enrichment analysis as well as network module-based approaches to identify crucial relationships between different molecular mechanisms.

Rating: 
Average: 5 (1 vote)

BioProfiling

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

BioProfiling.de provides a comprehensive analytical toolkit for the interpretation gene/protein lists. As input, BioProfiling.de accepts a gene/protein list. As output, in one submission, the gene list is analyzed by a collection of tools which employs advanced enrichment or network-based statistical frameworks. The gene list is profiled with respect to the most information available regarding gene function, protein interactions, pathway relationships, in silico predicted microRNA to gene associations, as well as, information collected by text mining.

Rating: 
Average: 5 (1 vote)

BreastMark

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Breast cancer is a complex heterogeneous disease for which a substantial resource of transcriptomic data is available. Gene expression data have facilitated the division of breast cancer into, at least, five molecular subtypes, namely luminal A, luminal B, HER2, normal-like and basal. Once identified, breast cancer subtypes can inform clinical decisions surrounding patient treatment and prognosis. Indeed, it is important to identify patients at risk of developing aggressive disease so as to tailor the level of clinical intervention.

Rating: 
Average: 5 (1 vote)

GeneSeer

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Independent identification of genes in different organisms and assays has led to a multitude of names for each gene. This balkanization makes it difficult to use gene names to locate genomic resources, homologs in other species and relevant publications.

Rating: 
Average: 5 (1 vote)

MirSNP

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Numerous single nucleotide polymorphisms (SNPs) associated with complex diseases have been identified by genome-wide association studies (GWAS) and expression quantitative trait loci (eQTLs) studies. However, few of these SNPs have explicit biological functions. Recent studies indicated that the SNPs within the 3'UTR regions of susceptibility genes could affect complex traits/diseases by affecting the function of miRNAs. These 3'UTR SNPs are functional candidates and therefore of interest to GWAS and eQTL researchers.

Rating: 
Average: 5 (1 vote)

mirDIP

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

MicroRNAs are a class of small RNAs known to regulate gene expression at the transcript level, the protein level, or both. Since microRNA binding is sequence-based but possibly structure-specific, work in this area has resulted in multiple databases storing predicted microRNA:target relationships computed using diverse algorithms.

Rating: 
Average: 5 (1 vote)

CSRDB

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Plant small RNAs (smRNAs), which include microRNAs (miRNAs), short interfering RNAs (siRNAs) and trans-acting siRNAs (ta-siRNAs), are emerging as significant components of epigenetic processes and of gene networks involved in development and in homeostasis. Here we present a bioinformatics resource for cereal crops, the Cereal Small RNA Database (CSRDB), consisting of large-scale datasets of maize and rice smRNA sequences generated by high-throughput pyrosequencing.

Rating: 
Average: 5 (1 vote)

MIR@NT@N

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

To understand biological processes and diseases, it is crucial to unravel the concerted interplay of transcription factors (TFs), microRNAs (miRNAs) and their targets within regulatory networks and fundamental sub-networks. An integrative computational resource generating a comprehensive view of these regulatory molecular interactions at a genome-wide scale would be of great interest to biologists, but is not available to date.

Rating: 
Average: 5 (1 vote)

miRNAminer

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

MicroRNAs (miRNAs), present in most metazoans, are small non-coding RNAs that control gene expression by negatively regulating translation through binding to the 3'UTR of mRNA transcripts. Previously, experimental and computational methods were used to construct miRNA gene repositories agreeing with careful submission guidelines.

Rating: 
Average: 5 (1 vote)

Pages

Subscribe to Web Based