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http://www.dpvweb.net/

DPVweb provides a central source of information about viruses, viroids and satellites of plants, fungi and protozoa. Comprehensive taxonomic information, including brief descriptions of each family and genus, and classified lists of virus sequences are provided. The database also holds detailed, curated, information for all sequences of viruses, viroids and satellites of plants, fungi and protozoa that are complete or that contain at least one complete gene. For comparative purposes, it also contains a single representative sequence of all other fully sequenced virus species with an RNA or single-stranded DNA genome. The start and end positions of each feature (gene, non-translated region and the like) have been recorded and checked for accuracy. As far as possible, nomenclature for genes and proteins are standardized within genera and families. Sequences of features (either as DNA or amino acid sequences) can be directly downloaded from the website in FASTA format. The sequence information can also be accessed via client software for PC computers (freely downloadable from the website) that enable users to make an easy selection of sequences and features of a chosen virus for further analyses. The public sequence databases contain vast amounts of data on virus genomes but accessing and comparing the data, except for relatively small sets of related viruses can be very time consuming. The procedure is made difficult because some of the sequences on these databases are incorrectly named, poorly annotated or redundant. The NCBI Reference Sequence project (1) provides a comprehensive, integrated, non-redundant set of sequences, including genomic DNA, transcript (RNA) and protein products, for major research organisms. This now includes curated information for a single sequence of each fully sequenced virus species. While this is a welcome development, it can only deal with complete sequences. An important feature of DPV is the opportunity to access genes (and other features) of multiple sequences quickly and accurately. Thus, for example, it is easy to obtain the nucleotide or amino acid sequences of all the available accessions of the coat protein gene of a given virus species or for a group of viruses. To increase its usefulness further, DPVweb also contains a single representative sequence of all other fully sequenced virus species with an RNA or single-stranded DNA (ssDNA) genome. Sponsors: This site is supported by the Association of Applied Biologists and the Zhejiang Academy of Agricultural Sciences, Hangzhou, People''s Republic of China.

Proper citation: Descriptions of Plant Viruses (RRID:SCR_006656) Copy   

•   Source: SciCrunch Registry

http://www.peptideatlas.org

Multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high quality database, along with false discovery rates at the whole atlas level. The raw data, search results, and full builds can be downloaded for other uses. All results of sequence searching are processed through PeptideProphet to derive a probability of correct identification for all results in a uniform manner ensuring a high quality database. All peptides are mapped to Ensembl and can be viewed as custom tracks on the Ensembl genome browser. The long term goal of the project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. You are encouraged to contribute to the database.

Proper citation: PeptideAtlas (RRID:SCR_006783) Copy   

•   Source: SciCrunch Registry

http://autismkb.cbi.pku.edu.cn/

Genetic factors contribute significantly to ASD. AutismKB is an evidence-based knowledgebase of Autism spectrum disorder (ASD) genetics. The current version contains 2193 genes (99 syndromic autism related genes and 2135 non-syndromic autism related genes), 4617 Copy Number Variations (CNVs) and 158 linkage regions associated with ASD by one or more of the following six experimental methods: # Genome-Wide Association Studies (GWAS); # Genome-wide CNV studies; # Linkage analysis; # Low-scale genetic association studies; # Expression profiling; # Other low-scale gene studies. Based on a scoring and ranking system, 99 syndromic autism related genes and 383 non-syndromic autism related genes (434 genes in total) were designated as having high confidence. Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder with a prevalence of 1.0-2.6%. The three core symptoms of ASD are: # impairments in reciprocal social interaction; # communication impairments; # presence of restricted, repetitive and stereotyped patterns of behavior, interests and activities.

Proper citation: AutismKB (RRID:SCR_006937) Copy   

•   Source: SciCrunch Registry

http://www.ensemblgenomes.org/

Database portal offering integrated access to genome-scale data from non-vertebrate species of scientific interest, developed using the Ensembl genome annotation and visualization platform. Ensembl Genomes consists of five sub-portals (for bacteria, protists, fungi, plants and invertebrate metazoa) designed to complement the availability of vertebrate genomes in Ensembl. Many of the databases supporting the portal have been built in close collaboration with the scientific community - essential for maintaining the accuracy and usefulness of the resource. A common set of user interfaces (which include a graphical genome browser, FTP, BLAST search, a query optimized data warehouse, programmatic access, and a Perl API) is provided for all domains. Data types incorporated include annotation of (protein and non-protein coding) genes, cross references to external resources, and high throughput experimental data (e.g. data from large scale studies of gene expression and polymorphism visualized in their genomic context). Additionally, extensive comparative analysis has been performed, both within defined clades and across the wider taxonomy, and sequence alignments and gene trees resulting from this can be accessed through the site.

Proper citation: Ensembl Genomes (RRID:SCR_006773) Copy   

•   Source: SciCrunch Registry

https://cansar.icr.ac.uk/

canSAR is an integrated database that brings together biological, chemical, pharmacological (and eventually clinical) data. Its goal is to integrate this data and make it accessible to cancer research scientists from multiple disciplines, in order to help with hypothesis generation in cancer research and support translational research. This cancer research and drug discovery resource was developed to utilize the growing publicly available biological annotation, chemical screening, RNA interference screening, expression, amplification and 3D structural data. Scientists can, in a single place, rapidly identify biological annotation of a target, its structural characterization, expression levels and protein interaction data, as well as suitable cell lines for experiments, potential tool compounds and similarity to known drug targets. canSAR has, from the outset, been completely use-case driven which has dramatically influenced the design of the back-end and the functionality provided through the interfaces. The Web interface provides flexible, multipoint entry into canSAR. This allows easy access to the multidisciplinary data within, including target and compound synopses, bioactivity views and expert tools for chemogenomic, expression and protein interaction network data.

Proper citation: canSAR (RRID:SCR_006794) Copy   

•   Source: SciCrunch Registry

http://redfly.ccr.buffalo.edu

Curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). Includes experimentally verified fly regulatory elements along with their DNA sequence, associated genes, and expression patterns they direct. Submission of experimentally verified cis-regulatory elements that are not included in REDfly database are welcome.

Proper citation: REDfly Regulatory Element Database for Drosophilia (RRID:SCR_006790) Copy   

•   Source: SciCrunch Registry

https://github.com/jstjohn/SimSeq

An illumina paired-end and mate-pair short read simulator. This project attempts to model as many of the quirks that exist in Illumina data as possible. Some of these quirks include the potential for chimeric reads, and non-biotinylated fragment pull down in mate-pair libraries .

Proper citation: SimSeq (RRID:SCR_006947) Copy   

•   Source: SciCrunch Registry

http://zhanglab.ccmb.med.umich.edu/I-TASSER/

Web server as integrated platform for automated protein structure and function prediction. Used for protein 3D structure prediction. Resource for automated protein structure prediction and structure-based function annotation.

Proper citation: I-TASSER (RRID:SCR_014627) Copy   

•   Source: SciCrunch Registry

http://cole-trapnell-lab.github.io/cufflinks/cuffmerge/

Software tool for transcriptome assembly and differential expression analysis for RNA-Seq. Includes script called cuffmerge that can be used to merge together several Cufflinks assemblies. It also handles running Cuffcompare as well as automatically filtering a number of transfrags that are likely to be artifacts. If the researcher has a reference GTF file, the researcher can provide it to the script to more effectively merge novel isoforms and maximize overall assembly quality.

Proper citation: Cufflinks (RRID:SCR_014597) Copy   

•   Source: SciCrunch Registry

https://elixir-europe.org/news/elixir-tools-and-data-services-registry-community-driven-curation-bioinformatics-resources

Elixir Interoperability Platform to help people and machines to discover, access, integrate and analyse biological data. Encourages life science community to adopt standardized file formats, metadata, vocabularies and identifiers and works internationally to achieve its goals. Bioinformatics resource registry that provides scientific and technical information about analytical tools and data services for bioinformatics. Gateway to databases and tools for life science data analysis.Provides comprehensive and up-to-date catalogue of resources that are interactive and downloadable, and that offer programmatic access. The registry also allows the community to upload their own resources to the registry following a simple log in procedure.

Proper citation: ELIXIR Tools and Data Services Registry (RRID:SCR_014556) Copy   

•   Source: SciCrunch Registry

http://www.sailing.cs.cmu.edu/main/?page_id=511

Automatic software program for profiling spatial gene expression patterns from Fly embryo ISH images. It utilizes image-based genome-scale profiling of whole-body mRNA patterns.

Proper citation: SPEX2 (RRID:SCR_014923) Copy   

•   Source: SciCrunch Registry

http://bix.ucsd.edu/repeatscout/

Algorithm used to identify de novo repeat families in newly sequenced genomes. Repeat libraries for C. briggsae, M. muscles (X chromosome), R. novegicus (X chromosome), armadillo, H. sapiens (X chromosome), and various other mammals created using RepeatScout are available on the main site., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: RepeatScout (RRID:SCR_014653) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.psb.ugent.be/orcae/

Online genome annotation tool for validating and correcting gene annotations. OrcAE is community-driven and can be edited by account-holders in the research community.

Proper citation: Online Resource for Community Annotation of Eukaryotes (RRID:SCR_014989) Copy   

•   Source: SciCrunch Registry

http://www.vicbioinformatics.com/software.prokka.shtml

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software tool for the rapid annotation of prokaryotic genomes. It produces GFF3, GBK and SQN files that are ready for editing in Sequin and ultimately submitted to Genbank/DDJB/ENA. A typical 4 Mbp genome can be fully annotated in less than 10 minutes on a quad-core computer, and scales well to 32 core SMP systems., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Prokka (RRID:SCR_014732) Copy   

•   Source: SciCrunch Registry

http://www.stavroX.com

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 29,2023. Software tool for the analysis of cross-linking/mass spectrometry datasets using MS-cleavable cross-linkers. MeroX is specialized for MS/MS-cleavable cross linking reagents and identifies the specific fragmentation products of the cleavable cross links.

Proper citation: MeroX (RRID:SCR_014956) Copy   

•   Source: SciCrunch Registry

https://dogma.ccbb.utexas.edu/

Web-based annotation tool for plant chloroplasts and animal mitochondrial genomes. DOGMA allows the use of BLAST searches against a custom database, and conservation of basepairing in the secondary structure of animal mitochondrial tRNAs to identify and annotate genes.

Proper citation: DOGMA (RRID:SCR_015060) Copy   

•   Source: SciCrunch Registry

http://www.mybiosoftware.com/seaview-4-2-12-sequence-alignment-phylogenetic-tree-building.html

Graphical user interface for multiple sequence alignment and molecular phylogeny. SeaView also generates phylogenetic trees.

Proper citation: SeaView (RRID:SCR_015059) Copy   

•   Source: SciCrunch Registry

http://tlife.fudan.edu.cn/ltr_finder/

Web software capable of scanning large-scale sequences for full-length LTR retrotranspsons., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: LTR_Finder (RRID:SCR_015247) Copy   

•   Source: SciCrunch Registry

http://busco.ezlab.org/

Software tool to quantitatively measure genome assembly and annotation completeness based on evolutionarily informed expectations of gene content.

Proper citation: BUSCO (RRID:SCR_015008) Copy   

•   Source: SciCrunch Registry

http://floresta.eead.csic.es/primers4clades

Web application for the design of PCR primers for cross-species amplification of novel sequences from metagenomic DNA or from uncharacterized organisms belonging to user-specified phylogenetic lineages. It implements an extended CODEHOP strategy and evaluates thermodynamic properties of the oligonucleotide pairs.

Proper citation: primers4clades (RRID:SCR_015714) Copy   

•   Source: SciCrunch Registry