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Collection of transmembrane protein datasets containing experimentally derived topology information from the literature and from public databases. Web interface of TOPDB includes tools for searching, relational querying and data browsing, visualisation tools for topology data.
Proper citation: Topology Data Bank of Transmembrane Proteins (RRID:SCR_007964) Copy
http://www.sanger.ac.uk/Projects/C_elegans/index.shtml
The Sanger Institute and the Genome Sequencing Center at the Washington University School of Medicine, St. Louis have collaborated to sequence the genomes of both C. elegans and C. briggsae. The completed C. elegans genome sequence is represented by over 3,000 individual clone sequences which can be accessed through this site (or through WormBase). These sequences are submitted to EMBL whenever the sequence or annotation changes (e.g. modification to gene structures) and these submissions are then mirrored to GenBank and DDBJ. These sequences (along with ESTs and proteins) can be searched on our C. elegans BLAST server. WormBase is the repository of mapping, sequencing and phenotypic information for C. elegans. The worm informatics group at the Sanger Institute play a key role in assembling the whole database. They also curate and develop some of the constituent databases that comprise WormBase.
Proper citation: Caenorhabditis Genome Sequencing Projects (RRID:SCR_008155) Copy
http://www.ebi.ac.uk/asd/aedb/index.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 27, 2013. A manual generated database for alternative exons and their properties from numerous species - the data is gathered from literature where these exons have been experimentally verified. Most alternative exons are cassette exons and are expressed in more than two tissues. Of all exons whose expression was reported to be specific for a certain tissue, the majority were expressed in the brain. At the moment, AEdb products that are available are sequence (a database of alternative exons), function (a database of functions attributed to constitutive and alternative exon), regulatory sequence (a database of transcript regulatory motifs), minigenes (a table of minigenes and their associations to splicing events), and diseases (a table of diseases associated with splicing and their associations to AltSplice). Alternative splicing is an important regulatory mechanism of mammalian gene expression. The alternative splicing database (ASD) consortium is systematically collecting and annotating data on alternative splicing. The continuation and upgrade of the ASD consists of computationally and manually generated data. Its largest parts are AltSplice, a value-added database of computationally delineated alternative splicing events. Its data include alternatively spliced introns/exons, events, isoform splicing patterns and isoform peptide sequences. AltSplice data are generated by examining gene-transcript alignments. The data are annotated for various biological features including splicing signals, expression states, (SNP)-mediated splicing and cross-species conservation. AEdb forms the manually curated component of ASD. It is a literature-based data set containing sequence and properties of alternatively spliced exons, functional enumeration of observed splicing events, characterization of observed splicing regulatory elements, and a collection of experimentally clarified minigene constructs.
Proper citation: Alternative Exon Database (RRID:SCR_008157) Copy
http://www.bioinf.mdc-berlin.de/splice/db/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. An online available compendium of alternative splice forms for several organisms (Arabidopsis thaliana, Bos taurus, Caenorhabditis elegans, Drosophila melanogaster, Danio rerio, Homo sapiens, Mus musculus, Rattus norvegicus, Xenopus laevis). Alternative splice forms are defined by comparing high-scoring ESTs to mRNA sequences (both from GenBank) with known exon-intron information (from ENSEMBL database) using BLAST. Repetitive sequences of all mRNAs have beforehand been masked by MaskerAid. Filtering programs with defined parameters compare the ends of each aligned sequence pair for deletions or insertions in the EST sequence, which suggest the existence of alternative splice forms. The database is accessible by typing in accession numbers (ACC) or keywords like description, gene names, organism or other keywords. (If more than one hit was found a list of all results is given.) And the result page is divided into 4 major parts. The first part (General Information About The Entry) summarizes the most important information as database ids, organism, and description. The so called alternative splice profile (ASP) of each human sequence is shown in the second part (Alternative Splice Frequency). The ASP indicates the number of alternatively spliced ESTs (NAE), the number of constitutively spliced ESTs (NCE) as well as the number of alternative splice sites (NSS) per mRNA. NAE and NCE corresponds to the EST coverage and can be used as a quality value for the predicted alternative splice variants. The NSS value specifies the splice propensity of a gene. Moreover the number of ESTs from cancerous tissues is shown. The histological source and the developmental stages are illustrated with several colors to enables the user to get an overview of the origins of the matching ESTs. Also, the Splice Site View shows graphically all alternative splice sites for the whole transcript.
Proper citation: Extended Alternatively Spliced EST Database (RRID:SCR_008186) Copy
https://github.com/DerrickWood/kraken2
Software tool as second version of Kraken taxonomic sequence classification system.
Proper citation: kraken2 (RRID:SCR_026838) Copy
https://github.com/SCANDAN-Team/SCANDAN-DICOM-labelling
Software tool for rules for DICOM tag based labelling. Regular expression used during the SCANDAN project to label MRI scans based on DICOM tag.
Proper citation: SCANDAN-DICOM-labelling (RRID:SCR_028365) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. An algorithm that finds articles most relevant to a genetic sequence. In the genomic era, researchers often want to know more information about a biological sequence by retrieving its related articles. However, there is no available tool yet to achieve conveniently this goal. Here, a new literature-mining tool MedBlast is developed, which uses natural language processing techniques, to retrieve the related articles of a given sequence. An online server of this program is also provided. The genome sequencing projects generate such a large amount of data every day that many molecular biologists often encounter some sequences that they know nothing about. Literature is usually the principal resource of such information. It is relatively easy to mine the articles cited by the sequence annotation; however, it is a difficult task to retrieve those relevant articles without direct citation relationship. The related articles are those described in the given sequence (gene/protein), or its redundant sequences, or the close homologs in various species. They can be divided into two classes: direct references, which include those either cited by the sequence annotation or citing the sequence in its text; indirect references, those which contain gene symbols of the given sequence. A few additional issues make the task even more complicated: (1) symbols may have aliases; and (2) one sequence may have a couple of relatives that we want to take into account too, which include redundant (e.g. protein and gene sequences) and close homologs. Here the issues are addressed by the development of the software MedBlast, which can retrieve the related articles of the given sequence automatically. MedBlast uses BLAST to extend homology relationships, precompiled species-specific thesauruses, a useful semantics technique in natural language processing (NLP), to extend alias relationship, and EUtilities toolset to search and retrieve corresponding articles of each sequence from PubMed. MedBlast take a sequence in FASTA format as input. The program first uses BLAST to search the GenBank nucleic acid and protein non-redundant (nr) databases, to extend to those homologous and corresponding nucleic acid and protein sequences. Users can input the BLAST results directly, but it is recommended to input the result of both protein and nucleic acid nr databases. The hits with low e-values are chosen as the relatives because the low similarity hits often do not contain specific information. Very long sequences, e.g. 100k, which are usually genomic sequences, are discarded too, for they do not contain specific direct references. User can adjust these parameters to meet their own needs.
Proper citation: MedBlast (RRID:SCR_008202) Copy
The JCSG is a multi-institutional consortium that aims to explore the expanding protein universe to find new challenges and opportunities to significantly contribute to new biology, chemistry and medicine through development of HT approaches to structural genomics. The mission of JCSG is to to operate a robust HT protein structure determination pipeline as a large-scale production center for PSI-2. A major goal is to ensure that innovative high-throughput approaches are developed that advance not only structural genomics, but also structural biology in general, via investigation of large numbers of high-value structures that populate protein fold and family space and by increasing the efficiency of structure determination at substantially reduced cost. The JCSG centralizes each core activity into single dedicated sites, each handling distinct, but interconnected objectives. This unique approach allows each specialized group to focus on its own area of expertise and provides well-defined interfaces among the groups. In addition, this approach addresses the requirements for the scalability needed to process large numbers of targets at a greatly reduced cost per target. JCSG production groups are: - Administrative Core - Bioinformatics Core - Crystallomics Core - Structure Determination Core - NMR Core JCSG is deeply committed to the development of new technologies that facilitate high throughput structural genomics. The areas of development include hardware, software, new experimental methods, and adaptation of existing technologies to advance genome research. In the hardware arena, their commitment is to the development of technologies that accelerate structure solution by increasing throughput rates at every stage of the production pipeline. Therefore, one major area of hardware development has been the implementation of robotics. In the software arena, they have developed enterprise resource software that track success, failures, and sample histories from target selection to PDB deposition, annotation and target management tools, and helper applications aimed at facilitating and automating multiple steps in the pipeline. Sponsors: The Joint Center for Structural Genomics is funded by the National Institute of General Medical Sciences (NIGMS), as part of the second phase of the Protein Structure Initiative (PSI) of the National Institutes of Health (U54 GM074898).
Proper citation: Joint Center for Structural Genomics (RRID:SCR_008251) Copy
http://www.affymetrix.com/support/developer/powertools/apt_archive.affx
Affymetrix Power Tools (APT) are a set of cross-platform command line programs that implement algorithms for analyzing and working with Affymetrix GeneChip arrays. APT programs are intended for power users who prefer programs that can be utilized in scripting environments and are sophisticated enough to handle the complexity of extra features and functionality. APT provides platform for developing and deploying new algorithms without waiting for the GUI implementations. This resource is supported by Affymetrix, Inc.
Proper citation: Affymetrix Power Tools (RRID:SCR_008401) Copy
Non profit research organization for genome sequences to advance understanding of biology of humans and pathogens in order to improve human health globally. Provides data which can be translated for diagnostics, treatments or therapies including over 100 finished genomes, which can be downloaded. Data are publicly available on limited basis, and provided more extensively upon request.
Proper citation: Wellcome Trust Sanger Institute; Hinxton; United Kingdom (RRID:SCR_011784) Copy
http://khavarilab.stanford.edu/resources.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. An intersection-based pathogen detection workflow that utilizes a user-provided custom reference genome set for identification of nonhuman sequences in deep sequencing datasets. This is a package recommended for advanced users only.
Proper citation: RINS (RRID:SCR_003652) Copy
https://github.com/benedictpaten/pecan
A Java consistency based multiple sequence alignment software program.
Proper citation: Pecan (RRID:SCR_001909) Copy
http://droog.gs.washington.edu/polyphred/
Software program that compares fluorescence-based sequences across traces obtained from different individuals to identify heterozygous sites for single nucleotide substitutions. Its functions are integrated with the use of three other programs: Phred (Brent Ewing and Phil Green), Phrap (Phil Green), and Consed (David Gordon and Phil Green). PolyPhred identifies potential heterozygotes using the base calls and peak information provided by Phred and the sequence alignments provided by Phrap. Potential heterozygotes identified by PolyPhred are marked for rapid inspection using the Consed tool.
Proper citation: PolyPhred (RRID:SCR_002337) Copy
http://metaphyler.cbcb.umd.edu/
A taxonomic classifier for metagenomic shotgun reads, which uses phylogenetic marker genes as a taxonomic reference. The classifier, based on BLAST, uses different thresholds (automatically learned from the reference database) for each combination of taxonomic rank, reference gene, and sequence length. The reference database includes marker genes from all complete genomes, several draft genomes and the NCBI nr protein database.
Proper citation: MetaPhyler (RRID:SCR_004848) Copy
http://www.well.ox.ac.uk/~kgaulton/chaos.shtml
A Perl-based system for annotation of variants identified in high-throughput sequencing experiments. Functionality includes annotation of variants with information relating to population genetics, known transcripts, positional records, and sequence motif-based prediction. In addition, annotated variants can be summarized and extracted to facilitate downstream analysis. There is also basic support for gene-based biological annotation, and eventually will include tools for variant and genotype analysis and visualization.
Proper citation: CHAoS (RRID:SCR_005174) Copy
http://cbrc.kaust.edu.sa/readscan/
A highly scalable parallel software program to identify non-host sequences (of potential pathogen origin) and estimate their genome relative abundance in high-throughput sequence datasets.
Proper citation: READSCAN (RRID:SCR_005204) Copy
http://www.sanger.ac.uk/resources/software/lookseq/
A web-based application for alignment visualization, browsing and analysis of genome sequence data.
Proper citation: LookSeq (RRID:SCR_005625) Copy
http://metagenomics.atc.tcs.com/binning/ProViDE/
A similarity based binning algorithm that uses a customized set of alignment parameter thresholds / ranges, specifically suited for the accurate taxonomic labelling of viral metagenomic sequences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: ProViDE (RRID:SCR_004709) Copy
http://metagenomics.atc.tcs.com/binning/DiScRIBinATE/
Software for accurate taxonomic classification of metagenomic sequences using a similarity based binning method. User needs to perform a similarity search of the input metagenomic sequences (reads) against the nr protein database using BLASTx search. The generated blastx output is then taken as the input by the DiScRIBinATE program.
Proper citation: DiScRIBinATE (RRID:SCR_004862) Copy
http://sourceforge.net/projects/gasic/
A method to correct read alignment results for the ambiguities imposed by similarities of genomes.
Proper citation: GASiC (RRID:SCR_006765) Copy
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