Unlock your biological data


Try: RNA sequencing CRISPR Genomic databases DESeq

0 - 0 of 0 results
1 - 10 of 10 results
filter_list Filters
call_split Taxonomy
healing Disease
build Data Access
storage Database Management System
1 - 10 of 10 results
forum (1)
Provides resources to decode Pan-Cancer and Interaction Networks of lncRNAs, miRNAs, competing endogenous RNAs(ceRNAs), RNA-binding proteins (RBPs) and mRNAs from large-scale CLIP-Seq data and tumor samples. starBase deciphers Protein-RNA and miRNA-target interactions, such as protein-lncRNA, protein-sncRNA, protein-mRNA, protein-pseudogene, miRNA-lncRNA, miRNA-mRNA, miRNA-circRNA, miRNA-pseudogene, miRNA-sncRNA interactions and ceRNA networks from 108 CLIP-Seq datasets.
Provides amount of predicted microRNA (miRNA) targets on the largest available set of human lncRNAs. LncBase offers a comprehensive collection of computationally predicted miRNA recognition elements (MREs) on mouse lncRNAs. It also includes miRNA–lncRNA interactions supported by experimental data for both human and mouse species. This database is composed of two modules: (i) to explore computationally predicted MREs of DIANA-microT-CDS, and (ii) to explore experimentally verified target sites.
EVLncRNAs / Experimentally Validated lncRNAs
Provides all species and covers functional and disease-specific roles for all long non-coding RNAs (lncRNAs) validated. EVLncRNAs contains about 1543 lncRNAs from 77 species along with their annotated functions, interaction partners and relevant diseases. The database allows users to submit novel experimentally validated lncRNAs and related diseases or associated components. It can be searched by any keywords, such as lncRNA name, alias, disease name, experimental methods, associated components and level of interaction.
GPA / Gene Perturbation Atlas
A database that includes a comprehensive collection of transcriptome profiles of protein coding genes, miRNAs and lncRNAs perturbed by knockdown or overexpression in human and mouse. GPA offers a wealth of information on differential expression patterns, comprehensive functional and pathway characterizations, enrichments of transcriptional factors and miRNAs, information flow in interaction network, and associations with cancers and drugs, together with extensive manually curated phenotype annotations.

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.