Unlock your biological data


Try: RNA sequencing CRISPR Genomic databases DESeq

1 - 50 of 84 results
filter_list Filters
language Programming Language
build Technology
healing Disease
settings_input_component Operating System
tv Interface
computer Computer Skill
copyright License
1 - 50 of 84 results
Enables pipeline development through the adaptation of existing pipelines written in any scripting language. NextFlow is a workflow management system using Docker technology for the multi-scale handling of containerized computation. The software is designed to address numerical instability, efficient parallel execution, error tolerance, execution provenance and traceability. Users can run any current or previous version of a pipeline for any published and properly deposited analyses.
An easy-to-use application for microarray, RNA-Seq and metabolomics analysis. For splicing sensitive platforms (RNA-Seq or Affymetrix Exon, Gene and Junction arrays), AltAnalyze will assess alternative exon (known and novel) expression along protein isoforms, domain composition and microRNA targeting. In addition to splicing-sensitive platforms, AltAnalyze provides comprehensive methods for the analysis of other data (RMA summarization, batch-effect removal, QC, statistics, annotation, clustering, network creation, lineage characterization, alternative exon visualization, gene-set enrichment and more).
Examines epigenomic and transcriptomic next generation sequencing (NGS) data. Octopus-toolkit can be used for antibody- or enzyme-mediated experiments and studies for the quantification of gene expression. It can accelerate the data mining of public epigenomic and transcriptomic NGS data for basic biomedical research. This tool provides a private and a public mode: one to process the user’s own data, and the other to analyze public NGS data by retrieving raw files from the GEO database.
Advances the automation and visualization of RNA-seq data analyses results. QuickRNASeq is a pipeline that significantly reduces data analysts’ hands-on time, which results in a substantial decrease in the time and effort needed for the primary analyses of RNA-seq data before proceeding to further downstream analysis and interpretation. It provides a dynamic data sharing and interactive visualization environment for end users and enable non-expert end users to interact easily with the RNA-seq data analyses results.
NGS-Trex / NGS TRanscriptome profile EXplorer
Allows user to upload raw sequences and obtain an accurate characterization of the transcriptome profile. NGS-Trex can assess differential expression at both gene and transcript level. It compares the expression profile of different samples. All comparisons are performed using a custom database which is mainly populated with several sources obtained from the NCBI. The tool allows user to discard ambiguously assigned reads or to assign those reads to all competing genes in the case of ambiguities.
Processes large numbers of raw RNA-sequencing datasets. PRADA works on paired-end sequencing data and is based on: (1) its mapping to both transcriptomic and genome; or (2) its comprehensive repertoire of output information from the incorporated modules. It enables users to compute multiple analytical metrics. It provides different types of information from raw paired-end RNA-seq data: gene expression levels, quality metrics, detection of unsupervised and supervised fusion transcripts, detection of intragenic fusion variants, homology scores and fusion frame classification.
Allows users simultaneously perform mRNA and miRNA expression analysis. wapRNA is a web application that includes major processes for the next-generation mRNA or miRNA data analysis, including preprocessing raw sequenced reads, mapping tags to reference sequences, gene expression annotation, and other downstream functional analysis such as detecting differentially expressed genes, Gene Ontology and KEGG pathway analysis for RNA, novel miRNA predication and miRNA target prediction. Executable packages are available for users to build their pipeline locally.
Grape / Grape RNA-Seq Analysis Pipeline Environment
Allows analysis of millions of short reads obtained from high-throughput RNA-Seq experiments. Grape is a workflow that automates the steps from RNA-Seq reads to transcript quantification and discovery. Its objective is to produce quantifications of transcript abundances and of the abundances of other transcriptional elements such as genes, exons, or splice junctions. It can be directly used to produce quantifications if an index from a reference transcriptome-independently assembled is generated.
Allows users to characterize and quantify the set of all RNA molecules produced in cells. RseqFlow contains several modules that include: mapping reads to genome and transcriptome references, performing quality control (QC) of sequencing data, generating files for visualizing signal tracks based on the mapping results, calculating gene expression levels, identifying differentially expressed genes, calling coding single nucleotide polymorphisms (SNPs) and producing MRF and BAM files.
Oqtans / Online quantitative transcriptome analysis
Provides a Galaxy interface to RNA-seq analysis tools. Oqtans is the online platform for quantitative RNA-seq data analysis. Its integration into the Galaxy framework ensures transparent and reproducible computational analyses. This application is available in five incarnations: (i) as a cloud machine image, (ii) as a public Galaxy instance, (iii) as a git repository, (iv) the Galaxy Toolshed, and (v) a preconfigured share string to launch Galaxy CloudMan using sharing instance functionality.
aRNApipe / automated RNA-seq pipeline
Analyzes single-end and stranded or unstranded paired-end RNA-seq data. aRNApipe focuses on high performance computing (HPC) environments and the independent designation of computational resources at each stage allowing optimization of HPC resources. It is highly flexible because its project configuration and management options. This tool can be adapted to changes in the current applications and the addition of new functionalities. It allows users to complete primary RNA-seq analysis.
ST Pipeline
Permits to process and analyze the raw files generated with the Spatial Transcriptomics (ST) method. ST Pipeline enables demultiplexing of spatially-resolved RNA-seq data and robust quality filtering and identification of unique molecules. It is highly customizable with numerous parameter settings. The tool is more robust, efficient and scales better to arrays with higher density. It filters data, aligns it to a genome, annotates it to a reference, demultiplexes by array coordinates and then aggregates by counts that are not duplicates using the Unique Molecular Identifiers.
A pipeline for RNA-seq method to research polyA. SAPAS performs a systematic search and evaluation of protocols for typical steps to investigate to what extent these can indeed facilitate RNA-seq data analysis. 29 open-source interfaces and 6 of the more widely used interfaces were evaluated in detail. SAPAS processes the sequencing result using SAPAS method, including quality control, mapping to genome using bowtie, generating cleverage sites, internal priming, clustering cleverage sites.
Converts the raw fastq files into gene/isoform expression matrix and differentially expressed genes or isoforms. hppRNA is a one-in-all solution composed of four scenarios such as pre-mapping, core-workflow, post-mapping and sequence variation detection. It also turns the identification of fusion genes, single nucleotide polymorphisms (SNP), long noncoding RNAs and circular RNAs. Finally, this pipeline is specifically designed for performing the systematic analysis on a huge set of samples in one go, ideally for the researchers who intend to deploy the pipeline on their local servers.
Analyzes the structure and functions of active microbial communities using the power of multi-threading computers. MetaTrans is designed to perform two types of RNA-Seq analyses: taxonomic and gene expression. It performs quality-control assessment, rRNA removal, maps reads against functional databases and also handles differential gene expression analysis. Its efficacy was validated by analyzing data from synthetic mock communities, data from a previous study and data generated from twelve human fecal samples.
A workflow system for laboratories with the need to analyze data from multiple NGS projects at a time. QuickNGS takes advantage of parallel computing resources, a comprehensive back-end database, and a careful selection of previously published algorithmic approaches to build fully automated data analysis workflows. QuickNGS considerably reduces the barriers that still limit the usability of the powerful NGS technology and finally decreases the time to be spent before proceeding to further downstream analysis and interpretation of the data.
RNA-seq portal
Includes three types of workflows for different tasks. RNA-seq portal permits users to perform computing and analysis, including sequence quality control, read-mapping, transcriptome assembly, reconstruction and differential analysis. All these workflows support multiple samples and multiples groups of samples and perform differential analysis between groups in a single workflow job submission. This web portal offers bioinformatics software, workflows, computation and reference data and a platform to study complex RNA-seq data analysis for agricultural animal species.
RNA CoMPASS / RNA Comprehensive Multi-Processor Analysis System for Sequencing
Analyzes exogenous and human sequences from RNAseq data. RNA CoMPASS is a parallel computation pipeline that provides a graphic user interface built from several open-source programs such as Novoalign and SAMMate. The application reads both the unmapped reads for pathogen discovery and the mapped reads for host transcriptome analysis. The program supports files generated from single-end, paired-end, and/or directional sequencing strategies.
OncoRep / Oncogenomics Report
A fully automated RNA-Seq based report for patients with (breast) cancer, which includes molecular classification, detection of altered genes, detection of altered pathways, identification of gene fusion events, identification of clinical actionable mutations (in coding regions) and identification of treatable target structures. Furthermore, OncoRep reports suitable drugs based on identified actionable targets, which can be considered in the treatment decision making process.
Assists users in obtaining genomic features from transcriptomic sequencing data, for any genome. MAP-RSeq is a comprehensive computational workflow, to align, assess and report multiple genomic features from paired-end RNA-Seq data. It uses a variety of freely available bioinformatics tools along with in-house developed methods using Perl, Python, R, and Java. This application is available in two versions: (i) a single threaded that runs on a virtual machine (VM) and (ii) a multi-threaded designed to run on a cluster environment.
An extensible environment for both building and running end-to-end analysis workflows with automated report generation for a wide range of next-generation sequencing (NGS) applications. Its unique features include a uniform workflow interface across different NGS applications, automated report generation, and support for running both R and command-line software on local computers and computer clusters. A flexible sample annotation infrastructure efficiently handles complex sample sets and experimental designs. To simplify the analysis of widely used NGS applications, systemPipeR provides pre-configured workflows and reporting templates for RNA-seq, ChIP-seq, VAR-seq and Ribo-seq.
Extracts raw Illumina reads to differentially expressed genes. SPARTA is a bacterial RNA-seq analysis tool performing transcriptional profiling experiments using RNA-seq. It enables microbiologists to simplify their researches and provides supplies the ability to incorporate a hands-on approach to next-generation sequencing (NGS) technologies in the classroom. Moreover, it outputs quality analysis reports, gene feature counts and differential gene expression tables and scatterplots.
A toolbox for analyses that may be performed with the use of gene annotations or alternatively, in an unsupervised mode, on any genomic region to find novel or non-standard transcripts. The data back-end may be a MySQL database or a set of files in standard BAM format. The processing in R can be run on a machine without any particular hardware requirements, and scales linearly with the number of genomic loci and number of samples analyzed. The main features of rnaSeqMap include coverage operations, discovering irreducible regions of high expression, significance search and splicing analyses with nucleotide granularity.
TRAPLINE / Transparent Reproducible and Automated PipeLINE
Serves for RNAseq data processing, evaluation and prediction. TRAPLINE guides researchers through the NGS data analysis process in a transparent and automated state-of-the-art pipeline. It can detect protein-protein interactions (PPIs), miRNA targets and alternatively splicing variants or promoter enriched sites. This tool includes different modules for several functions: (1) it scans the list of differentially expressed genes; (2) it includes modules for miRNA target prediction; and (3) a module is implemented to identify verified interactions between proteins of significantly upregulated and downregulated mRNAs.
0 - 0 of 0 results
1 - 12 of 12 results
filter_list Filters
computer Job seeker
Disable 3
person Position
thumb_up Fields of Interest
public Country
language Programming Language
1 - 12 of 12 results

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