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http://www.ebi.ac.uk/thornton-srv/databases/sas/

SAS is a tool for applying structural information to a given protein sequence. It uses FASTA to scan a given protein sequence against all the proteins of known 3D structure in the Protein Data Bank (PDB). The resultant multiple alignment can be colored according to different structural features and the matching 3D structures can be superimposed and viewed in RasMol. Use the form to identify your protein sequence of interest by: a) providing a PDB code, b) providing a UniProt code or accession number, c) pasting in your sequence, or d) uploading a PDB file. By default the whole PDB will be searched, but you can restrict the search using the Search Option box at the bottom.

Proper citation: SAS - Sequence Annotated by Structure (RRID:SCR_004635) Copy   

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http://srs.ebi.ac.uk/srsbin/cgi-bin/wgetz?-page+query+-libList+PATABS

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 6, 2016. Patent Abstracts is a set of biology-related abstracts of patent applications derived from data products of the European Patent Office (EPO). Patent documents from Europe (EP), USA (US) and World (WO) are included. Abstracts are extracted from the ESPACE ACCESS and GlobalPat CD/DVD products according to the International Patent Classification (IPC) classes covering biology topics. The data are transformed to a common XML format and combined into one SRS dataset.

Proper citation: Patent Abstracts (RRID:SCR_004839) Copy   

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http://www.ebi.ac.uk/uniprot/unisave/?help=0&session=

The UniProtKB Sequence/Annotation Version Archive (UniSave) is a repository of UniProtKB/Swiss-Prot and UniProtKB/TrEMBL entry versions. Entries can be retrieved by entering a primary accession number or an entry name and pressing the Go! button. The result of the query is a list of entry versions with the UniProtKB database name, entry status, primary accession number, entry name, entry version, sequence version, release number and the release date, ordered by the release date, the latest version first. The entry version status can be ''''incorporated'''', ''''active'''', ''''changed'''', ''''replaced'''' or ''''deleted''''. An incorporated entry version is the first entry version added into UniProtKB, an active entry version is part of the latest public release, a changed entry version has been superseded by a newer entry version, a replaced entry has become secondary to another entry, and a deleted entry has been removed from the UniProtKB without becoming secondary to any other entry. For replaced entry versions, the status ''''Replaced'''' can be clicked to return all entries, which have the given entry as a secondary entry. If a date is provided as part of the query then only the version of the entry that was current at that date is displayed. Entries can be viewed by clicking ''''View'''' in the query results table. The ''''<< Earlier'''' and ''''Later >>'''' links can be used to access the earlier and later entry versions. The ''''Back to List'''' link returns the user to the query results table. Selecting ''''UniProtKB'''' or ''''Fasta'''' and pressing ''''Save'''' downloads the entry in flat file or fasta format. Comparison between entry versions is straightforward: selecting two entries and clicking the ''''Compare Selected'''' button will show the differences between the two entries. Whenever comparisons are made a Smith-Waterman sequence alignment is computed using SSEARCH, and displayed at the bottom of the entry. The actual alignment is displayed only when the sequences are not identical.

Proper citation: UniSave (RRID:SCR_004946) Copy   

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http://www-test.ebi.ac.uk/uniref/

Various non-redundant databases with different sequence identity cut-offs created by clustering closely similar sequences to yield a representative subset of sequences. In the UniRef90 and UniRef50 databases no pair of sequences in the representative set has >90% or >50% mutual sequence identity. The UniRef100 database presents identical sequences and sub-fragments as a single entry with protein IDs, sequences, bibliography, and links to protein databases. The two major objectives of UniRef are: (i) to facilitate sequence merging in UniProt, and (ii) to allow faster and more informative sequence similarity searches. Although the UniProt Knowledgebase is much less redundant than UniParc, it still contains a certain level of redundancy because it is not possible to use fully automatic merging without risking merging of similar sequences from different proteins. However, such automatic procedures are extremely useful in compiling the UniRef databases to obtain complete coverage of sequence space while hiding redundant sequences (but not their descriptions) from view. A high level of redundancy results in several problems, including slow database searches and long lists of similar or identical alignments that can obscure novel matches in the output. Thus, a more even sampling of sequence space is advantageous. You may access NREF via the FTP server.

Proper citation: UniRef at the EBI (RRID:SCR_004972) Copy   

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

The EB-eye Search system is developed on top of the Apache Lucene project framework, which is an Open-source, high-performance, full-featured text search engine library written entirely in Java. It uses this technology to index EBI databases in various formats (e.g. flatfiles, XML dumps, OBO format, etc.) and provides very fast access to the EBI''s data resources. The system allows the user to search globally across all EBI databases or individually in selected resources by using an Advance search.

Proper citation: EB-eye Search (RRID:SCR_006745) Copy   

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http://www.ebi.ac.uk/ipd/mhc

The IPD - MHC Database provides a centralized repository for sequences of the major histocompatibility complex from a number of different species. Through a number of international collaborations IPD is able to provide the MHC sequences of different species. The sequences provided by each group are curated by experts in the field and then submitted to the central database.

Proper citation: IPD-MHC- Major Histocompatibility Complex (RRID:SCR_007749) Copy   

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http://www.ebi.ac.uk/ipd/kir/

The IPD-KIR database provides a centralized repository for human KIR sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.

Proper citation: IPD-KIR - Killer-cell Immunoglobulin-like Receptors (RRID:SCR_007748) Copy   

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http://www.ebi.ac.uk/ipd/estdab/

The European Searchable Tumour Line Database (ESTDAB) Database and Cell Bank provide a service enabling investigators to search online for HLA typed, immunologically characterised tumour cells as part of the European Commission Fifth Framework Infrastructures Program. The following tools and pages are available in ESTDAB: :* Search ESTDAB on primary search determinants :* Search ESTDAB on all search determinants :* Dictionary of markers and techniques used

Proper citation: IPD-ESTDAB- The European Searchable Tumour Line Database (RRID:SCR_007746) Copy   

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http://www.ebi.ac.uk/enright-srv/microcosm/htdocs/targets/v5/

Database of computationally predicted targets for microRNAs across many species.

Proper citation: MicroCosm Targets (RRID:SCR_010846) Copy   

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http://wwwdev.ebi.ac.uk/panda-srv/mousefinder/mousefinder.php

Mouse finder is a beta product that uses the phenotype ontology to search for the best mouse models for a particular OMIM disease. The phenotype ontology gives a score function for the similarity of two phenotypes based on ontology distance.

Proper citation: Mouse finder (RRID:SCR_010584) Copy   

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http://simbioms.org/

SIMBioMS (System for Information Management in BioMedical Studies) is a multi-module solution for data management in biomedical studies. Any research concerning human samples and/or utilizing high-throughput technologies yields such amount of information that conventional data storage solution might not be sufficient. We offer here three software modules: * Sample Information Management System (SIMS), * Assay Information Management System (AIMS) * Sample avAILability system (SAIL) * Emanta Administration tool (Emanta) All three software modules were developed as a part of the integrated EU project MolPAGE (Molecular Phenotyping to Accelerate Genomic Epidemiology) and the collaborative research project ENGAGE (European Network of Genomic and Genetic Epidemiology). SIMS and AIMS can work either as united system or as two completely independent components. In turn, SAIL is an independent web-based system for indexing of phenotypes availability in different cohorts and collections. All systems are packaged in such a way that they can easily be installed either as local (e.g. on a laptop) or as centralized databases (to be used by a group of people). SIMS and AIMS benefit from customizable interface, editable vocabularies and a choice of options for tackling data confidentiality issues. The systems provides a user with efficient means of control over data exchange process and at the same time helps to format the metadata in compliance with the standards accepted in functional genomics. Since SIMBioMS is an open source project, source files can be downloaded and changed by the user if needed.

Proper citation: SIMBioMS (RRID:SCR_005745) Copy   

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https://github.com/Ensembl/WiggleTools

A multithreaded software library that computes statistics on large numbers of datasets, generating statistical summaries within minutes with limited memory requirements, whether on the whole genome or on selected regions.

Proper citation: WiggleTools (RRID:SCR_001170) Copy   

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http://www.ebi.ac.uk/~stijn/reaper/reaper.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. Software program for demultiplexing, trimming and filtering short read sequencing data.

Proper citation: Reaper - Demultiplexing trimming and filtering sequencing data (RRID:SCR_001144) Copy   

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http://www.ebi.ac.uk/~stijn/reaper/tally.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software program for deduplicating sequence fragments. It minimises memory usage by compressing sequences and using compact memory allocation techniques. A built-in parser allows a variety of input file formats and a simple specification language allows flexible output file formats. It can be made aware of paired-end reads, and it can handle degenerate sequence inserts intended to reveal amplification biases. Tally comes with reaper, a program for demultiplexing, trimming and filtering short read sequencing data.

Proper citation: Tally (RRID:SCR_001239) Copy   

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

Software package that implements a method for normalizing microarray intensities, both between colours within array, and between arrays. The method uses a robust variant of the maximum-likelihood estimator for the stochastic model of microarray data described in the references. The model incorporates data calibration (a.k.a. normalization), a model for the dependence of the variance on the mean intensity, and a variance stabilizing data transformation. Differences between transformed intensities are analogous to normalized log-ratios. However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.

Proper citation: vsn (RRID:SCR_001459) Copy   

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https://github.com/sbotond/rlsim

Software package for simulating RNA-seq library preparation with parameter estimation.

Proper citation: rlsim (RRID:SCR_001703) Copy   

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http://www.vectorbase.org

Bioinformatics Resource Center for invertebrate vectors. Provides web-based resources to scientific community conducting basic and applied research on organisms considered potential agents of biowarfare or bioterrorism or causing emerging or re-emerging diseases.

Proper citation: VectorBase (RRID:SCR_005917) Copy   

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http://www.ebi.ac.uk/Tools/pfa/iprscan/

Software package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service.

Proper citation: InterProScan (RRID:SCR_005829) Copy   

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http://www.ebi.ac.uk/webservices/whatizit/info.jsf

A text processing system that allows you to do textmining tasks on text. It is great at identifying molecular biology terms and linking them to publicly available databases. Whatizit is also a Medline abstracts retrieval/search engine. Instead of providing the text by Copy&Paste, you can launch a Medline search. The abstracts that match your search criteria are retrieved and processed by a pipeline of your choice. Whatizit is also available as 1) a webservice and as 2) a streamed servlet. The webservice allows you to enrich content within your website in a similar way as in the wikipedia. The streamed servlet allows you to process large amounts of text.

Proper citation: Whatizit (RRID:SCR_005824) Copy   

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http://drcat.sourceforge.net/

Data resource catalog that collates metadata on bioinformatics Web-based data resources including databases, ontologies, taxonomies and catalogues. An entry includes information such as resource identifier(s), name, description and URL. ''''Query'''' lines are defined for each resource that describe what type(s) of data are available, in what format, how (by what identifier) the data can be retrieved and from where (URL). DRCAT was developed to provide more extensive data integration for EMBOSS, but it has many applications beyond EMBOSS. DRCAT entries (including ''''Query'''' lines) are annotated with terms from the EDAM ontology of common bioinformatics concepts.

Proper citation: DRCAT Resource Catalogue (RRID:SCR_005931) Copy   

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