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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.
Manually curated, comprehensive repository of experimentally characterized bacterial glycoproteins and archaeal glycoproteins, generated from an exhaustive literature search. This is the focused effort to provide concise relevant information derived from rapidly expanding literature on prokaryotic glycoproteins, their glycosylating enzyme(s), glycosylation linked genes, and genomic context thereof, in a cross-referenced manner. The database is arranged into two sections namely, ProCGP and ProUGP. ProCGP is the main section containing characterized prokaryotic glycoproteins, defined as entries with at least one experimentally known glycosylated residue (glycosite). Whereas, ProUGP is the supplementary section, presenting uncharacterized prokaryotic glycoproteins, defined as entries with experimentally identified glycosylation but unidentified glycosites. The ProGlycProt has been developed with to aid and advance the emerging scientific interests in understanding the mechanisms, implications, and novelties of protein glycosylation in prokaryotes that include many pathogenic as well as economically important bacterial species. The website supports a dedicated structure gallery of homology models and crystal structures of characterized glycoproteins in addition to two new tools developed in view of emerging information about prokaryotic sequons (conserved sequences of amino acids around glycosites) that are never or rarely seen in eukaryotic glycoproteins. ProGlycProt provides an extensive compilation of experimentally identified glycosites (334) and glycoproteins (340) of prokaryotes that could serve as an information resource for research and technology applications in glycobiology. A general data update policy is once in three months. Existing entries are updated in real-time.
Proper citation: ProGlycProt (RRID:SCR_000622) Copy
http://www.ncbi.nlm.nih.gov/dbSTS/
THIS RESOURCE IS NO LONGER IN SERVICE, as of October 1, 2013; however, the site is still accessible. NCBI resource that contains sequence and mapping data on short genomic landmark sequences or Sequence Tagged Sites. STS sequences are incorporated into the STS Division of GenBank. The dbSTS database offers a route for submission of STS sequences to GenBank. It is designed especially for the submission of large batches of STS sequences.
Proper citation: dbSTS (RRID:SCR_000400) Copy
http://www.bioguo.org/AnimalTFDB/
A comprehensive transcription factor (TF) database in which they identified and classified all the genome-wide TFs in 50 sequenced animal genomes (Ensembl release version 60). In addition to TFs, it also collects transcription co-factors and chromatin remodeling factors of those genomes, which play regulatory roles in transcription. Here they defined the TFs as proteins containing a sequence-specific DNA-binding domain (DBD) and regulating target gene expression. Currently, the AnimalTFDB classifies all the animal TFs into 72 families according to their conserved DBDs. Gene lists of transcription factors, transcription co-factors and chromatin remodeling factors of each species are available for downloading., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: AnimalTFDB (RRID:SCR_001624) Copy
https://www.hgmd.cf.ac.uk/ac/introduction.php?lang=english
Curated database of known (published) gene lesions responsible for human inherited disease.
Proper citation: Human Gene Mutation Database (RRID:SCR_001621) Copy
http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/
Database to store and display somatic mutation information and related details and contains information relating to human cancers. The mutation data and associated information is extracted from the primary literature. In order to provide a consistent view of the data a histology and tissue ontology has been created and all mutations are mapped to a single version of each gene. The data can be queried by tissue, histology or gene and displayed as a graph, as a table or exported in various formats.
Some key features of COSMIC are:
* Contains information on publications, samples and mutations. Includes samples which have been found to be negative for mutations during screening therefore enabling frequency data to be calculated for mutations in different genes in different cancer types.
* Samples entered include benign neoplasms and other benign proliferations, in situ and invasive tumours, recurrences, metastases and cancer cell lines.
Proper citation: COSMIC - Catalogue Of Somatic Mutations In Cancer (RRID:SCR_002260) Copy
http://www.homozygositymapper.org/
A web-based approach of homozygosity mapping that can handle tens of thousands markers. User can upload their own SNP genotype files to the database. Intuitive graphic interface is provided to view the homozygous stretches, with the ability of zooming into single chromosomes or user-defined chromosome regions. The underlying genotypes in all samples are displayed. The software is also integrated with our candidate gene search engine, GeneDistiller, so that users can interactively determine the most promising gene. (entry from Genetic Analysis Software)
Proper citation: HOMOZYGOSITYMAPPER (RRID:SCR_001714) Copy
http://pallab.serc.iisc.ernet.in/gester/
Database of intrinsic terminators of transcription that is comprized of >2,200,000 bacterial terminators identified from a total of 2036 chromosomes and 1508 plasmids. Information about structural parameters of individual terminators such as sequence, length of stem and loop, mismatches and gaps, U-trail, genomic coordinates and gene name and accession number is available in both tabular form and as a composite figure. Summary statistics for terminator profiles of whole genome can be also obtained. Raw data files for individual genomes can be downloaded (.zip files) for detailed investigations. Data is organized into different tiers such that users can fine-tune their search by entering name of the species, or taxon ID or genomes with a certain number of terminators. To visualize the occurrence of the terminators, an interactive map, with the resolution to single gene level, has been developed.
Proper citation: WebGeSTer DB (RRID:SCR_002165) Copy
It helps users retrieve information on genes and proteins. The underlying structure of PubGene can be viewed as a gene-centric database. Gene and protein names are cross-referenced to each other and to terms that are relevant to understanding their biological function, importance in disease and relationship to chemical substances. The result is a literature network organizing information in a form that is easy to navigate.
Proper citation: PubGene (RRID:SCR_002119) Copy
http://www.yandell-lab.org/software/maker.html
Software genome annotation pipeline. Portable and easily configurable genome annotation pipeline. Used to allow smaller eukaryotic and prokaryotic genomeprojects to independently annotate their genomes and to create genome databases. MAKER identifies repeats, aligns ESTs and proteins to genome, produces ab-initio gene predictions and automatically synthesizes these data into gene annotations having evidence based quality values.
Proper citation: MAKER (RRID:SCR_005309) Copy
A multiplatform open-source software to assist molecular biologists without much expertise in bioinformatics to manage, analyze and visualize their data. UGENE integrates widely used bioinformatics tools within a common user interface. The toolkit supports multiple biological data formats and allows the retrieval of data from remote data sources. It provides visualization modules for biological objects such as annotated genome sequences, Next Generation Sequencing (NGS) assembly data, multiple sequence alignments, phylogenetic trees and 3D structures. Most of the integrated algorithms are tuned for maximum performance by the usage of multithreading and special processor instructions. UGENE includes a visual environment for creating reusable workflows that can be launched on local resources or in a High Performance Computing (HPC) environment. UGENE is written in C++ using the Qt framework. The built-in plugin system and structured UGENE API make it possible to extend the toolkit with new functionality.
Proper citation: Unipro UGENE (RRID:SCR_005579) Copy
https://ccg.murdoch.edu.au/yabi/login/?next=/yabi/
A web-based analytical environment framework for bioinformatics applications that can be customized for a diverse range of -omics applications. The software system is adaptable to a range of both pluggable execution and data backends in an open source implementation. Enabling seamless and transparent access to heterogenous HPC environments at its core, it then provides an analysis workflow environment that can create and reuse workflows as well as manage large amounts of both raw and processed data in a secure and flexible way across geographically distributed compute resources. Yabi can be used via a web-based environment to drag-and-drop tools to create sophisticated workflows. It can also be accessed through the Yabi command line which is designed for users that are more comfortable with writing scripts or for enabling external workflow environments to leverage the features in Yabi. Configuring tools can be a significant overhead in workflow environments. Yabi greatly simplifies this task by enabling system administrators to configure as well as manage running tools via a web-based environment and without the need to write or edit software programs or scripts.
Proper citation: Yabi (RRID:SCR_005359) Copy
http://bioinf.wehi.edu.au/folders/melanie/haploclusters.html
Software program designed to detect excess haplotypes sharing in datasets consisting of case and control haplotypes. Excess haplotype sharing can be seen around disease loci in case samples since LD persists longer here than in the controls where LD is persisting only according to the relatedness of the individuals in the population, i.e. the age of the population. (entry from Genetic Analysis Software)
Proper citation: HAPLOCLUSTERS (RRID:SCR_007439) Copy
https://www.jurgott.org/linkage/LinkagePC.html
Standard software package for genetic linkage called LINKAGE. Genetic linkage analysis is statistical technique used to map genes and find approximate location of disease genes.
Proper citation: LINKAGE (RRID:SCR_007033) Copy
PubCrawler is a free alerting service that scans daily updates to the NCBI Medline (PubMed) and GenBank databases. PubCrawler helps keeping scientists informed of the current contents of Medline and GenBank, by listing new database entries that match their research interests. The free PubCrawler web service has been operating for five years and so far has brought literature and sequence updates to over 22 000 users. It provides information on a personalized web page whenever new articles appear in PubMed or when new sequences are found in GenBank that are specific to customized queries. The server also acts as an automatic alerting system by sending out short notifications or emails with the latest updates as soon as they become available. PubCrawler searches the NCBI PubMed (Medline) and Entrez (GenBank) databases daily using search parameters (keywords, author names, etc.) specified by the user. There is no limit on the number of searches that can be carried out. Previous search hits are stored and only the newest PubMed or GenBank records are shown each day. The results are presented as an HTML Web page, similar to the results of an NCBI PubMed or Entrez query. This Web page can be located on our computer (the PubCrawler WWW-Service), on your computer (the stand-alone program), or you can receive it via e-mail (set this up using the PubCrawler WWW-Service). The Web page sorts the results into groups of PubMed/GenBank entries that are zero-days-old, 1-day-old, 2-days-old, etc., up to a user-specified age limit. Sponsors: Development of PubCrawler was supported by EMBnet
Proper citation: PubCrawler (RRID:SCR_008235) Copy
http://compgen.rutgers.edu/multimap.shtml
Software program for automated construction of genetic maps (entry from Genetic Analysis Software)
Proper citation: MULTIMAP (RRID:SCR_007168) Copy
http://csg.sph.umich.edu/boehnke/sibmed.php
Software application that identifies likely genotyping errors and mutations for a sib pair in the context of multipoint mapping. (entry from Genetic Analysis Software)
Proper citation: SIBMED (RRID:SCR_007495) Copy
http://bioinformatics.ua.pt/coeus/
A semantic web-powered knowledge management framework, aiming at a streamlined application development cycle and following a semantic web in a box approach. The framework provides a single package including advanced data integration and triplification tools, base ontologies, a web-oriented engine and a flexible exploration API. Resources can be integrated from heterogeneous sources, including CSV and XML files or SQL and SPARQL query results, and mapped directly to one or more ontologies. Advanced interoperability features include REST services, a SPARQL endpoint and LinkedData publication. These enable the creation of multiple applications for web, desktop or mobile environments, and empower a new knowledge federation layer. It is targeted at rapid application deployment of new applications in any research field, supported by a comprehensive integration engine and an advanced data distribution API.
Proper citation: COEUS (RRID:SCR_006287) Copy
A set of programs for performing multipoint exclusion mapping of affected sibling pair data for discrete traits. (entry from Genetic Analysis Software)
Proper citation: ASPEX (RRID:SCR_008414) Copy
http://associationviewer.vital-it.ch/
A Java application used to display SNPs in a genetic context. Supplementary data (such as genes or LD plots) is downloaded from various public data sources on the fly and saved locally in a cache. Custom data can be added as supplementary tracks. (entry from Genetic Analysis Software)
Proper citation: ASSOCIATIONVIEWER (RRID:SCR_009063) Copy
http://www.stat.washington.edu/thompson/Genepi/Albert/albert.shtml
Software application that estimates genotype relative risks, genotyping error rates and population risk allele frequencies from marker genotype data in case-parent trios. ALBERT uses the distribution of trio marker genotypes to compute maximum likelihood estimates for the parameters. (entry from Genetic Analysis Software)
Proper citation: ALBERT (RRID:SCR_009037) Copy
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