Tools   Select Another Resource Report Type

https://github.com/SciLifeLab/facs

Software for classification of Sequences using Bloom filters that can accurately and rapidly align sequences to a reference sequence.

Proper citation: FACS (RRID:SCR_000055) Copy   

•   Source: SciCrunch Registry

http://www.aetionomy.eu/

Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.

Proper citation: AETIONOMY (RRID:SCR_000232) Copy   

•   Source: SciCrunch Registry

http://deweylab.biostat.wisc.edu/rsem/

Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.

Proper citation: RSEM (RRID:SCR_000262) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/GEOquery.html

Software that establishes a bridge between GEO and BioConductor.

Proper citation: GEOquery (RRID:SCR_000146) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/gemsim/

A software package for generating realistic simulated next-generation genome sequencing reads with quality score values. The software is written in Python with a command-line user interface.

Proper citation: GemSIM (RRID:SCR_000167) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/DESeq.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Software for differential gene expression analysis based on the negative binomial distribution. It estimates variance-mean dependence in count data from high-throughput sequencing assays and tests for differential expression.

Proper citation: DESeq (RRID:SCR_000154) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/MIMOSA.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays.

Proper citation: MIMOSA (RRID:SCR_000184) Copy   

•   Source: SciCrunch Registry

http://acgt.cs.tau.ac.il/modent/

A computational tool that reconstructs gene regulatory networks from high throughput experimental data.

Proper citation: MODENT - A Tool For Reconstructing Gene Regulatory Networks (RRID:SCR_000220) Copy   

•   Source: SciCrunch Registry

https://github.com/vahuynh/dynGENIE3

An algorithm for the inference of gene regulatory networks from expression data.

Proper citation: GENIE3 (RRID:SCR_000217) Copy   

•   Source: SciCrunch Registry

http://www.uniklinikum-saarland.de/einrichtungen/fachrichtungen/humangenetik/software/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software tool for predicting granzyme B and caspase cleavage sites.

Proper citation: GraBCas (RRID:SCR_000205) Copy   

•   Source: SciCrunch Registry

http://ribopicker.sourceforge.net/

Software to automatically identify and efficiently remove rRNA-like sequences from metatranscriptomic and metagenomic datasets.

Proper citation: riboPicker (RRID:SCR_000360) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/science/programs/genome-biology/computational-rd/computational-research-and-development

A software for genome assembly, and is specifically designed to analyze long Sanger-chemistry reads.

Proper citation: ARACHNE (RRID:SCR_000351) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/beckerjeremie/home/nucleofinder

A software for a statistical approach for the detection of nucleosome positions in a cell population. The software identifies important features of nucleosome organization such as the spacing downstream of active promoters and the enrichment and depletion of GC/AT dinucleotides of in vitro nucleosomes.

Proper citation: NucleoFinder (RRID:SCR_000368) Copy   

•   Source: SciCrunch Registry

https://github.com/yongchao/flowPeaks

Software for fast and automatic clustering to classify the cells into subpopulations based on finding the peaks from the overall density function generated by K-means.

Proper citation: flowPeaks (RRID:SCR_000407) Copy   

•   Source: SciCrunch Registry

http://proteinprophet.sourceforge.net/

Software that automatically validates protein identifications made on the basis of peptides assigned to MS/MS spectra by database search programs such as SEQUEST.

Proper citation: ProteinProphet (RRID:SCR_000286) Copy   

•   Source: SciCrunch Registry

http://www.smpdb.ca/

An interactive, visual database containing more than 350 small molecule pathways found in humans. More than 2/3 of these pathways (>280) are not found in any other pathway database. SMPDB is designed specifically to support pathway elucidation and pathway discovery in metabolomics, transcriptomics, proteomics and systems biology. It is able to do so, in part, by providing exquisitely detailed, fully searchable, hyperlinked diagrams of human metabolic pathways, metabolic disease pathways, metabolite signaling pathways and drug-action pathways. All SMPDB pathways include information on the relevant organs, subcellular compartments, protein cofactors, protein locations, metabolite locations, chemical structures and protein quaternary structures. Each small molecule is hyperlinked to detailed descriptions contained in the HMDB or DrugBank and each protein or enzyme complex is hyperlinked to UniProt. All SMPDB pathways are accompanied with detailed descriptions and references, providing an overview of the pathway, condition or processes depicted in each diagram. The database is easily browsed and supports full text, sequence and chemical structure searching. Users may query SMPDB with lists of metabolite names, drug names, genes / protein names, SwissProt IDs, GenBank IDs, Affymetrix IDs or Agilent microarray IDs. These queries will produce lists of matching pathways and highlight the matching molecules on each of the pathway diagrams. Gene, metabolite and protein concentration data can also be visualized through SMPDB''s mapping interface. All of SMPDB''s images, image maps, descriptions and tables are downloadable.

Proper citation: Small Molecule Pathway Database (RRID:SCR_004844) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/probe

Public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications including genotyping, gene expression studies, SNP discovery, genome mapping, and gene silencing. Probe records contain information on reagent distributors, probe effectiveness, and computed sequence similarities. The database is constantly updated, with over 11,000,000 probes available. Users may deposit their data into NCBI Probe Database.

Proper citation: NCBI Probe (RRID:SCR_004816) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.rutgers.edu/Software/SLiQ/

Software for simple linear inequalities based Mate-Pair reads filtering and scaffolding. A set of simple linear inequalities (SLIQ) derived from the geometry of contigs on the line that can be used to predict the relative positions and orientations of contigs from individual mate pair reads and thus produce a contig digraph. The SLIQ inequalities can also filter out unreliable mate pairs and can be used as a pre-processing step for any scaffolding algorithm. This tool filters mate pairs and then produces a Directed Contig Graph (contig diGraph). Also provided is a Naive scaffolder that can then produce scaffolds out of the contig diGraph.

Proper citation: SLIQ (RRID:SCR_005003) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/ega/

Web service for permanent archiving and sharing of all types of personally identifiable genetic and phenotypic data resulting from biomedical research projects. The repository allows you to explore datasets from numerous genotype experiments, supplied by a range of data providers. The EGA''s role is to provide secure access to the data that otherwise could not be distributed to the research community. The EGA contains exclusive data collected from individuals whose consent agreements authorize data release only for specific research use or to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the EGA project. As an example, only members of the EGA team are allowed to process data in a secure computing facility. Once processed, all data are encrypted for dissemination and the encryption keys are delivered offline. The EGA also supports data access only for the consortium members prior to publication.

Proper citation: European Genome phenome Archive (RRID:SCR_004944) Copy   

•   Source: SciCrunch Registry

http://www.physics.rutgers.edu/~anirvans/SOPRA/

Software tool to exploit the mate pair/paired-end information for assembly of short reads from high throughput sequencing platforms, e.g. Illumina and SOLiD.

Proper citation: SOPRA (RRID:SCR_005035) Copy   

•   Source: SciCrunch Registry