Unlock your biological data


Try: RNA sequencing CRISPR Genomic databases DESeq

1 - 44 of 44 results
filter_list Filters
language Programming Language
build Technology
healing Disease
settings_input_component Operating System
tv Interface
computer Computer Skill
copyright License
1 - 44 of 44 results
Provides small RNA (smRNA) sequencing in human cancer research. YM500 not only focuses on miRNAs but also on other functional small non-coding RNAs (sncRNAs), such as PIWI-interacting RNAs (piRNAs), tRNA-derived fragments (tRFs), small nuclear RNAs (snRNAs) and small nucleolar RNAs (snoRNAs). YM500 contains more than 11000 cancer-related smRNA and 10000 RNA-seq datasets. YM500, through its web interface, allows users to: (i) search for small RNA expression, (ii) search for miRNA Isoform, (iii) search for Novel miRNA, (iv) search for miRNA’s arm switching, (v) drive meta-analysis, (vi) drive survival analysis, (vii) drive cancer analysis, (viii) download their results.
star_border star_border star_border star_border star_border
star star star star star
A Web service for the analysis of ncRNA datasets derived from Illumina sRNA-Seq experiments. Starting with raw sequencing data, omiRas offers an efficient way to analyze differential expression of ncRNAs between two groups and to assign functions to differentially expressed miRNAs. MiRNA–mRNA interaction databases allow the user to construct networks of interesting miRNAs and mRNAs to identify miRNAs with implications in the development of differential gene signatures.
An online tool that can simultaneously search up to 100 sequences for novel microRNAs (miRNAs) in multiple organisms. miREval 2.0 uses multiple published in silico approaches to detect miRNAs in sequences of interest. This tool can be used to discover miRNAs from DNA sequences or to validate candidates from sequencing data. miREval accepts up to 100 sequences of DNA or RNA in FASTA format. Comprehensive analysis is available for 31 species; partial analysis, including secondary structure prediction and alignment to known miRNAs, is still available for other species.
Analyses small RNA sequencing data from multiple biological sources, taking into account replicate information, to identify robust sets of siRNA precursors. The segmentSeq R package has been extended to identify methylation loci from high-throughput sequencing data from multiple conditions. A statistical model is then developed that accounts for biological replication and variable rates of non-conversion of cytosines in each sample to compute posterior likelihoods of methylation at each locus within an empirical Bayesian framework.
A small non-coding RNA (ncRNA) detection tool for RNA sequencing (RNA-Seq) data. NorahDesk utilizes the coverage-distribution of small RNA sequence data and thermodynamic assessments of secondary structure to reliably predict and annotate ncRNA classes. NorahDesk is particularly suitable for the prediction of piRNAs as it is the first program to "annotate by association": if novel transcripts form a thermodynamically stable secondary structure with already known piRNA transcripts, it is likely that the unannotated contigs are also piRNAs.
A stand-alone package for systematically characterizing phasiRNAs and their regulatory networks. PhaseTank can identify phasiRNAs/tasiRNAs functional cascades (miRNA/phasiRNA --> PHAS loci --> phasiRNA --> target) with high sensitivity and specificity. By one command analysis, it generates comprehensive annotation and quantification of the predicted PHAS genes from any given sequences. PhaseTank has no restriction with regards to prior information of sequence homology of unrestricted organism origins.
Reconstructs the surface of structural potential using an algorithm for Z-score evaluation. RNASurface introduces an intuitively clear definition of locally optimal segments as peaks in the surface of structural potential. This application allows users to identify structured domains comprising the region. This method can be useful for (i) preprocessing during de novo search for regulatory and noncoding RNAs, (ii) accurate definition of ncRNA boundaries and (iii) correlation of genome-scale structural potential with other genomic features.
iSmaRT / integrative Small RNA Tool-kit
Analyzes smallRNA-Seq data. iSmaRT is a collection of bioinformatics tools and own algorithms, interconnected through a Graphical User Interface (GUI). It implements specific computational modules to analyze PIWI-interacting RNAs (piRNAs), predicting novel ones and identifying the RNA targets. The pipeline can provide a comprehensive analysis of different classes of small non-coding RNAs (sncRNAs). iSmaRT can provide a detailed analysis of miRNA and piRNA differentially expressed and of piRNA-mRNA interactions.
Detects mature miRNAs directly from next generation sequencing read data, without any need of reference/genomic sequences. miReader was tested over wide range of species, and the presented approach achieved high accuracy for all the target species. Using the same approach, 21 novel mature miRNA duplex candidates were identified for a plant species whose genome has not been sequenced yet and there is negligible miRNA data reported for this species in miRBase. This has clearly demonstrated clearly that in spite of unavailability of genomic sequences, the presented tool, miReader, could accurately identify the mature miRNAs directly from small RNA sequencing data.
Identifies miRNA candidates with high accuracy and stable performance over wide range of species. Biologically relevant novel features like miRNA specific mature miRNA guided structural profile matrices and structural triplet density variation profiles with respect to position have been introduced to derive a superior and stable performance. An ensemble machine learning methodology, bootstrap aggregating (BAGging), has been implemented. It employs complementary classifiers like support vector machine (SVM), naive Bayes (NB) and best first decision trees (BFTree) to build the final classifier models for large number of species, enhancing the performance strongly. An NGS module has been built to find miRNA precursor candidates, using Illumina read data. The process of miRNA candidate detection requires large volume of sequence data scanning, which makes it dependent upon extensive computing.
PILFER / PIrna cLuster FindER
Offers a platform dedicated to the detection and prediction of PIWI-interacting RNA (piRNAs), including piRNA clusters, from small RNA sequencing data. PILFER is an open source program that uses both expression and spatial information of the piRNA hits for its clusters prediction. The application first determines regions of the genome with a high expression value from the mapping file and then uses a sliding window approach to form a cluster around the localized region.
Extracts microRNAs (miRNA) expression profiles from sequencing reads generated by second-generation sequencing. miRExpress contains miRNA information from miRBase and reveals miRNA expression profiles by aligning sequencing reads against the sequences of known miRNAs. The software supports that sequences are aligned with miRNA precursors. It can be used to determine miRNA expression profiles when genomic sequences are unavailable, and to find novel miRNA candidates by aligning reads with sequences of known miRNAs of various species.
A tool to identify miRNA precursors in plants, allowing for heterogeneous and complex precursor populations. miRA requires small RNA sequencing data and a corresponding reference genome, and evaluates precursor secondary structures and precursor processing accuracy; key parameters can be adapted based on the specific organism under investigation. miRA is particularly suited for organisms with no existing miRNA annotation, or without a known related organism with well characterized miRNAs. Moreover, miRA has proven its ability to identify species-specific miRNAs. miRA is flexible in its parameter settings, and produces user-friendly output files in various formats (pdf, csv, genome-browser-suitable annotation files, etc.).
Offers a method for organizing precursor non-coding RNA (ncRNA) sequences according to their similarity with transposable elements (TE) sequences. ncRNAclassifier provides a graphical interface for computing the number of occurrences of the candidate, the number of chromosomes within occurrences and the distance between them. Then, it generates a consensus sequence from the ten most similar occurrences to the input sequence and checks its correspondence to a TE through RepBase database.
Identifies all potential regulatory ncRNAs that can establish stable joint structures with a query mRNA. pRuNA provides a sequence filter which eliminates a significant fraction of the available ncRNA collection. It retains only the most likely ncRNA candidates for forming a stable joint structure with the query mRNA. It recognizes all pairs of 5-mer motifs from the ncRNA loop sequences that are complementary to a pair of 5-mer motifs in the loop sequences of the query mRNA.
moses / MOdular SEquence Suite
Allows to construct transparent detection workflows and to combine and compare different methods efficiently. moses integrates existing tools and methods for ncRNA detection. It processes and combines the results of different methods to find regions in a genome that contain ncRNA gene candidates. The tool provides a graphical user interface (GUI) and visualization for all intermediate steps of a workflow in order to enable the user to detect flaws in a workflow and to help to interpret the results.
1 - 2 of 2 results
filter_list Filters
computer Job seeker
Disable 1
thumb_up Fields of Interest
public Country
1 - 2 of 2 results

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