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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://sourceforge.net/projects/locas/
A software to assemble short reads of next generation sequencing technologies at low coverage.
Proper citation: LOCAS (RRID:SCR_013064) Copy
http://derisilab.ucsf.edu/software/price/index.html
Software for a de novo genome assembler implemented in C++.
Proper citation: PRICE (RRID:SCR_013063) Copy
https://confluence.crbs.ucsd.edu/display/NIF/OntoQuestMain
An ontology management module to perform ontology-based search over data sources. This management system permits a user to store, search and navigate any number of OWL-structured ontologies. Ontoquest may also be accessed through a variety of web services via the Neuroscience Information Framework.
Proper citation: OntoQuest (RRID:SCR_013281) Copy
http://code.google.com/p/chimerascan/
Software package that detects gene fusions in paired-end RNA sequencing (RNA-Seq) datasets. Used for detection of chimeric transcripts in high-throughput sequencing data.
Proper citation: chimerascan (RRID:SCR_013298) Copy
http://rdxplorer.sourceforge.net/
A computational tool for copy number variants (CNV) detection in whole human genome sequence data using read depth (RD) coverage.
Proper citation: RDXplorer (RRID:SCR_013290) Copy
Database of traceable, standardized, annotated gene signatures which have been manually curated from publications that are indexed in PubMed. The Advanced Gene Search will perform a One-tailed Fisher Exact Test (which is equivalent to Hypergeometric Distribution) to test if your gene list is over-represented in any gene signature in GeneSigDB. Gene expression studies typically result in a list of genes (gene signature) which reflect the many biological pathways that are concurrently active. We have created a Gene Signature Data Base (GeneSigDB) of published gene expression signatures or gene sets which we have manually extracted from published literature. GeneSigDB was creating following a thorough search of PubMed using defined set of cancer gene signature search terms. We would be delighted to accept or update your gene signature. Please fill out the form as best you can. We will contact you when we get it and will be happy to work with you to ensure we accurately report your signature. GeneSigDB is capable of providing its functionality through a Java RESTful web service.
Proper citation: GeneSigDB (RRID:SCR_013275) Copy
Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources involving approximately 2 million NAT pairs in 69 plant species. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs. GO annotation and high-throughput small RNA sequencing data currently available were integrated to investigate the biological function of NATs. A ''''Gene Set Analysis'''' module based on GO annotation was designed to dig out the statistical significantly overrepresented GO categories from the specific NAT network. PlantNATsDB is currently the most comprehensive resource of NATs in the plant kingdom, which can serve as a reference database to investigate the regulatory function of NATs.
Proper citation: PlantNATsDB - Plant Natural Antisense Transcripts DataBase (RRID:SCR_013278) Copy
http://alumni.cs.ucr.edu/~liw/cem.html
An algorithm to assemble transcripts and estimate their expression levels from RNA-Seq reads.
Proper citation: CEM (RRID:SCR_013241) Copy
Software for a normalization scheme that corrects nucleotide composition bias, mappability variations and differential local DNA structural effects in deep sequencing data.
Proper citation: BEADS (RRID:SCR_013229) Copy
http://www.bcgsc.ca/platform/bioinfo/software/trans-abyss
A software pipeline for analyzing ABySS-assembled contigs from shotgun transcriptome data.
Proper citation: Trans-ABySS (RRID:SCR_013322) Copy
http://ekhidna.biocenter.helsinki.fi/dali_server
Network service for comparing protein structures in 3D. You submit the coordinates of a query protein structure and Dali compares them against those in the Protein Data Bank (PDB). You receive an email notification when the search has finished. In favourable cases, comparing 3D structures may reveal biologically interesting similarities that are not detectable by comparing sequences. Requests can also be submitted by e-mail to dali-server at helsinki dot fi. The body of the e-mail message must contain atomic coordinates in PDB format. If you want to know the structural neighbours of a protein already in the Protein Data Bank (PDB), you can find them in the Dali Database. If you want to superimpose two particular structures, you can do it in the pairwise DaliLite server. Academic users may download the DaliLite program for local use.
Proper citation: Dali Server (RRID:SCR_013433) Copy
http://bioinformatics.psb.ugent.be/ENIGMA/
A software tool to extract gene expression modules from perturbational microarray data, based on the use of combinatorial statistics and graph-based clustering. The modules are further characterized by incorporating other data types, e.g. GO annotation, protein interactions and transcription factor binding information, and by suggesting regulators that might have an effect on the expression of (some of) the genes in the module. Version : ENIGMA 1.1 used GO annotation version : Aug 29th 2007
Proper citation: ENIGMA (RRID:SCR_013400) Copy
http://bioinfo.au.tsinghua.edu.cn/software/pcs/
A stand-alone package to identify and analyze conserved k-mers in pairwise alignment. This program shows high performance for identifying miRNA seed binding sites in 3''-UTRs.
Proper citation: Pairwise Conservation Scores - An Algorithm to Identify Conserved K-mers (RRID:SCR_013409) Copy
http://tiger.dbs.nus.edu.sg/cnv-seq/
A method for detecting DNA copy number variation (CNV) using high-throughput sequencing., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: CNV-seq (RRID:SCR_013357) Copy
http://www.geenivaramu.ee/en/tools/gwama
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software tool for meta analysis of whole genome association data.
Proper citation: GWAMA (RRID:SCR_006624) Copy
http://bioconductor.org/packages/release/bioc/html/casper.html
Software to infer alternative splicing from paired-end RNA-seq data. The model is based on counting paths across exons, rather than pairwise exon connections, and estimates the fragment size and start distributions non-parametrically, which improves estimation precision.
Proper citation: casper (RRID:SCR_006613) Copy
A set of online services created in support of MIRIAM, a set of guidelines for the annotation and curation of computational models. The core of MIRIAM Resources is a catalogue of data types (namespaces corresponding to controlled vocabularies or databases), their URIs and the corresponding physical URLs or resources. Access to this data is made available via exports (XML) and Web Services (SOAP). MIRIAM Resources are developed and maintained under the BioModels.net initiative, and are free for use by all. MIRIAM Resources are composed of four components: a database, some Web Services, a Java library and this web application. * Database: The core of the system is a MySQL database. It allows us to store the data types (which can be controlled vocabularies or databases), their URIs and the corresponding physical URLs, and other details such as documentation and resource identifier patterns. Each entry contains a diverse set of details about the data type: official name and synonyms, root URI, pattern of identifiers, documentation, etc. Moreover, each data type can be associated with several resources (or physical locations). * Web Services: Programmatic access to the data is available via Web Services (based on Apache Axis and SOAP messages). In addition, REST-based services are currently being developed. This API allows one to not only resolve model annotations, but also to generate appropriate URIs, based upon the provision of a resource name and accession number. A list of available web services, and a WSDL are provided. A browser-based online demonstration of the Web Services is also available to try. * Java Library: A Java library is provided to access the Web Services. The documentation explains where to download it, its dependencies, and how to use it. * Web Application: A Web application, using an Apache Tomcat server, offers access to the whole data set via a Web browser. It is possible to browse by data type names as well as browse by tags. A search engine is also provided.
Proper citation: MIRIAM Resources (RRID:SCR_006697) Copy
Repository contains antibody/B cell and T cell epitope information and epitope prediction and analysis tools. Immune epitopes are defined as molecular structures recognized by specific antigen receptors of the immune system, namely antibodies, B cell receptors, and T cell receptors. Immune epitopes from infectious diseases, excluding HIV, and immune-mediated diseases and the accompanying biological information are included.
Proper citation: Immune Epitope Database and Analysis Resource (IEDB) (RRID:SCR_006604) Copy
http://rulai.cshl.edu/splicetrap/
A statistic tool for quantifying exon inclusion ratios in paired-end RNA-seq data, with broad applications for the study of alternative splicing. SpliceTrap approaches to exon inclusion level estimation as a Bayesian inference problem. For every exon it quantifies the extent to which it is included, skipped or subjected to size variations due to alternative 3?/5? splice sites or Intron Retention. In addition, SpliceTrap can quantify alternative splicing within a single cellular condition, with no need of a background set of reads.
Proper citation: SpliceTrap (RRID:SCR_006728) Copy
https://github.com/arq5x/bedtools2
A powerful toolset for genome arithmetic allowing one to address common genomics tasks such as finding feature overlaps and computing coverage. Bedtools allows one to intersect, merge, count, complement, and shuffle genomic intervals from multiple files in widely-used genomic file formats such as BAM, BED, GFF/GTF, VCF. While each individual tool is designed to do a relatively simple task (e.g., intersect two interval files), quite sophisticated analyses can be conducted by combining multiple bedtools operations on the UNIX command line.
Proper citation: BEDTools (RRID:SCR_006646) Copy
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