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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.
https://www.ncbi.nlm.nih.gov/Web/Search/entrezfs.html
Web portal for global query cross database search and retrieval system that provides access to all databases simultaneously with a single query string and user interface. Retrieves nucleotide and protein sequence data, gene centered and genomic mapping information, 3D structures, and references. Covers databases including protein sequence data from PIR-International, PRF, Swiss-Prot, and PDB and nucleotide sequence data from GenBank that includes information from EMBL and DDBJ.
Proper citation: Entrez (RRID:SCR_016640) Copy
https://blast.ncbi.nlm.nih.gov/moleblast/moleblast.cgi
Software tool that helps taxonomists find closest database neighbors of submitted query sequences by generating a phylogenetic tree from BLAST results.
Proper citation: MOLE-BLAST (RRID:SCR_016644) Copy
http://ec2-52-91-98-53.compute-1.amazonaws.com/run/
Web based platform that integrates several bioinformatics tools for screening and annotation of cDNA construct sequences. Translates the nucleotide sequence of the construct into an amino acid sequence, aligns the predicted sequence to a reference database of protein sequences and identifies the best protein and isoform match, annotates any variants present in the construct, and incorporates disease-associated mutations and transcriptomic data.
Proper citation: Clonotator (RRID:SCR_016730) Copy
https://www.ncbi.nlm.nih.gov/tools/vecscreen/
Software tool to screen a nucleic acid sequence for vector contamination. Detects foreign DNAs such as vector, linker, adapter, and primer regions involved in nucleotide sequences by using blast search against vector sequence database. The main unit of this tool is vecscreen program obtainable from NCBI.
Proper citation: VecScreen (RRID:SCR_016577) Copy
https://bioconductor.org/packages/release/bioc/html/Rsubread.html
Software R package for sequence alignment and counting for R. Used for analyses of second and third generation sequencing data, for read mapping, read counting, SNP calling, short and long read alignment, quantification and mutation discovery. Includes assessment of sequence reads, read alignment, read summarization, exon-exon junction detection, fusion detection, detection of short and long indels, absolute expression calling and SNP calling. Can be used with reads generated from any of the major sequencing platforms including Illumina GA/HiSeq/MiSeq, Roche GS-FLX, ABI SOLiD and LifeTech Ion PGM/Proton sequencers.
Proper citation: Rsubread (RRID:SCR_016945) Copy
https://bioconductor.org/packages/release/bioc/html/Biostrings.html
Software package for efficient manipulation of biological strings. Memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or sets of sequences.
Proper citation: Biostrings (RRID:SCR_016949) Copy
http://prosightlite.northwestern.edu/
Software application for matching a single candidate protein sequence and its modifications against a set of mass spectrometric observations. Used to analyze top-down mass spectrometry data.
Proper citation: ProSight Lite (RRID:SCR_016908) Copy
http://cab.spbu.ru/software/rnaspades/
Software tool for assembling transcripts from RNA-Seq data. Explores surprising computational parallels between assembly of transcriptomes and single cell genomes. Suitable for all kind of organisms. Part of SPAdes package since version 3.9.
Proper citation: rnaSPAdes (RRID:SCR_016992) Copy
https://software.broadinstitute.org/software/discovar/blog/
Software tool for variant calling with reference and de novo assembly of genomes. The heart of DISCOVAR is a de novo genome assembler which can generate de novo assemblies for both large and small genomes.
Proper citation: Discovar assembler (RRID:SCR_016755) Copy
http://cqb.pku.edu.cn/ZhuLab/PPR_Meta
Software tool to identify metagenomic sequences of phages, chromosomes or plasmids. Used for identifying phages and plasmids from metagenomic fragments using deep learning., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: PPR-Meta (RRID:SCR_016915) Copy
http://www.cisreg.ca/cgi-bin/NHR-scan/nhr_scan.cgi
Web interface for computational prediction of nuclear hormone receptor binding sites in genomic sequences. Flexible Hidden Markov Model framework to allow for variable spacing and orientation of half sites. Allows for parameter modifications.
Proper citation: Nuclear Hormone Receptor Scan (RRID:SCR_016975) Copy
https://github.com/TGAC/RAMPART
Software for workflow management system for de novo genome assembly of DNA sequence data.Designed to exploit high performance computing environments, such as clusters and shared memory systems.
Proper citation: Rampart (RRID:SCR_016742) Copy
https://github.com/FeeLab/seqNMF
Software tool for unsupervised discovery of sequential structure. Used to detect sequences in neural data generated by internal behaviors, such as animal thinking or sleeping. Used for unsupervised discovery of temporal sequences in high dimensional datasets in neuroscience without reference to external markers.
Proper citation: seqNMF (RRID:SCR_017068) Copy
http://gmod.org/wiki/Main_Page
A collection of open source software tools for creating and managing genome-scale biological databases. GMOD is made up databases, applications, and adaptor software that connects these components together. You can use it to create a small laboratory database of genome annotations, or a large web-accessible community database. At first GMOD just featured model organisms but now any organism with any kind of sequence associated with it is a good candidate as a subject for a GMOD database. There are GMOD databases with just protein sequence in them, with EST sequence only, those that are concerned primarily with gene expression, and even those dedicated to collections of RNA sequence. They have also heard of GMOD databases for oligonucleotides and plasmids.
Proper citation: Generic Model Organism Database Project (RRID:SCR_001731) Copy
http://www.aspergillus-genomes.org.uk/
A resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects, resulting from the merging of Central Aspergillus Data REpository (CADRE) and The Aspergillus Website, which took place in June 2008. The principal role of CADRE is to aid the Aspergillus research community by managing Aspergillus genome data and by providing visualization tools, ranging from relatively simple annotation displays to more complex data integration displays. In contrast, The Aspergillus Website provides a range of information to the medical community (i.e., clinicians, patients and scientists) regarding the genus Aspergillus and the diseases, such as Aspergillosis, that it can cause. CADRE has been implemented using the Ensembl v22 suite. This suite comprises: * a database schema, which has been devised for storing annotated eukaryotic genomes. The schema is implemented with the MySQL relational database management system. * several specialized programming modules for building interfaces (i.e., BioPerl and Ensembl API modules). * a series of programs (i.e., Perl CGI scripts using the API modules) for viewing genomic data within a web browser., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Aspergillus Genomes (RRID:SCR_001880) Copy
http://csg.sph.umich.edu//abecasis/MACH/index.html
A Markov Chain based software tool for haplotyping, genotype imputation and disease association analysis that can resolve long haplotypes or infer missing genotypes in samples of unrelated individuals.
Proper citation: MACH 1.0 (RRID:SCR_001759) Copy
http://rgp.dna.affrc.go.jp/E/index.html
Rice Genome Research Program (RGP) is an integral part of the Japanese Ministry of Agriculture, Forestry and Fisheries (MAFF) Genome Research Project. RGP now aims to completely sequence the entire rice genome and subsequently to pursue integrated goals in functional genomics, genome informatics and applied genomics. It is jointly coordinated by the National Institute of Agrobiological Sciences (NIAS), a government research institute under MAFF and the Society for Techno-innovation of Agriculture, Forestry and Fisheries (STAFF), a semi-private research organization managed and supported by MAFF and a consortium of some twenty Japanese companies. The research is funded with yearly grants from MAFF and additional funds from the Japan Racing Association (JRA). It is now the leading member of the International Rice Genome Sequencing Project (IRGSP), a consortium of ten countries sharing the sequencing of the 12 rice chromosomes. The IRGSP adopts the clone-by-clone shotgun sequencing strategy so that each sequenced clone can be associated with a specific position on the genetic map and adheres to the policy of immediate release of the sequence data to the public domain. In December 2004, the IRGSP completed the sequencing of the rice genome. The high-quality and map-based sequence of the entire genome is now available in public databases.
Proper citation: Rice Genome Research Project (RRID:SCR_002268) Copy
http://www.ncbi.nlm.nih.gov/SNP/
Database as central repository for both single base nucleotide substitutions and short deletion and insertion polymorphisms. Distinguishes report of how to assay SNP from use of that SNP with individuals and populations. This separation simplifies some issues of data representation. However, these initial reports describing how to assay SNP will often be accompanied by SNP experiments measuring allele occurrence in individuals and populations. Community can contribute to this resource.
Proper citation: dbSNP (RRID:SCR_002338) Copy
http://www.dnastar.com/t-seqmanpro.aspx
Software for analysis and DNA sequence assembly of Sanger data. It also provides visualizations and analysis of next-gen projects assembled by SeqMan NGen.
Proper citation: Lasergene's SeqMan Pro (RRID:SCR_000283) Copy
http://metagenomics.atc.tcs.com/SPHINX/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1, 2023. Hybrid binning tool that achieves high binning efficiency by utilizing both "compositional" and "similarity" features of the query sequence during the binning process. SPHINX can analyze sequences in metagenomic data sets as rapidly as composition based approaches, but nevertheless has the accuracy and specificity of similarity based algorithms., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SPHINX (RRID:SCR_000534) Copy
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