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http://www.lgm.upmc.fr/parseq/

Statistical software for transcription landscape reconstruction at a basepair resolution from RNA Seq read counts. It is based on a state-space model which describes, in terms of abrupt shifts and more progressive drifts, the transcription level dynamics along the genome. Alongside variations of transcription level, it incorporates a component of short-range variation to pull apart local artifacts causing correlated dispersion. Reconstruction of the transcription level relies on a conditional sequential Monte Carlo approach that is combined with parameter estimation in a Markov chain Monte Carlo algorithm known as particle Gibbs. The method allows to estimate the local transcription level, to call transcribed regions, and to identify the transcript borders.

Proper citation: Parseq (RRID:SCR_003464) Copy   

•   Source: SciCrunch Registry

http://www.cs.ucr.edu/~tanaseio/metaphyl.htm

Software implementing a supervised classification method for metagenomic samples that takes advantage of the natural structure of microbial community data encoded by phylogenetic trees.

Proper citation: MetaPhyl (RRID:SCR_001169) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/frhit/

An efficient fragment recruitment software program for next generation sequences against microbial reference genomes. It produces similar sensitivity of BLASTN, but runs at a 100 times higher speed. The algorithm adopts a seeding heuristic strategy with overlapping k-mer hashing to locate candidate matching blocks on the reference sequences, and then apply an effective filtering within the candidate blocks to filter out blocks that do not meet the minimum criteria for containing an alignment with specified parameters. For each candidate block that passed the filter, the best matching sub-regions between a candidate block and a read are determined, and used subsequently by the banded Smith-Waterman algorithm to carry out the actual alignment efficiently, which will finally verify if this can be a valid recruitment hit.

Proper citation: FR-HIT (RRID:SCR_002181) Copy   

•   Source: SciCrunch Registry

http://www.computationalbioenergy.org/meta-storms.html

Optimized GPU-based software to efficiently measure the quantitative phylogenetic similarity among massive amount of microbial community samples.

Proper citation: GPU-Meta-Storms (RRID:SCR_012029) Copy   

•   Source: SciCrunch Registry

http://www.ala.org.au/

Online repository of information about Australian plants, animals, and fungi. Development started in 2006. The Commonwealth Scientific and Industrial Research Organisation is organisation significantly involved in development of ALA.

Proper citation: Atlas of Living Australia (RRID:SCR_006467) Copy   

•   Source: SciCrunch Registry

https://www.mirri.org/

Microbial stock center. Collaborative platform for the pan-European research infrastructure for microbial resources. Provides access to microorganisms, their derivatives, associated data and services for research, development and application.

Proper citation: MIRRI (RRID:SCR_016461) Copy   

•   Source: SciCrunch Registry

http://gcm.wfcc.info/

Database and information retrieval, analysis, and visualization system for microbial resources to help culture collections to manage, disseminate and share the information related to their holdings. Provides an interface for the scientific and industrial communities to access the microbial resource information.

Proper citation: Global Catalogue of Microorganisms (RRID:SCR_016460) Copy   

•   Source: SciCrunch Registry

http://www.wfcc.info/home/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Collects, authenticates, maintains and distributes cultures of microorganisms and cultured cells. Its aim is to promote and support the establishment of culture collections and related services, to provide liaison and set up an information network between the collections and their users, to organize workshops and conferences, publications and newsletters and work to ensure the long term perpetuation of important collections. The WFCC (through the activities of Professor Skerman, University of Queensland, Australia, and his colleagues in the 1960's) pioneered the development of an international database on culture resources worldwide. The result is the WFCC World Data Center for Microorganisms (WDCM). This data resource is now maintained at National Institute of Genetics (NIG), Japan and has records of nearly 476 culture collections from 62 countries. The records contain data on the organization, management, services and scientific interests of the collections. Each of these records is linked to a second record containing the list of species held. The WDCM database forms an important information resource for all microbiological activity and also acts as a focus for data activities among WFCC members.

Proper citation: World Federation for Culture Collections (RRID:SCR_001974) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/genome

Database that organizes information on genomes including sequences, maps, chromosomes, assemblies, and annotations in six major organism groups: Archaea, Bacteria, Eukaryotes, Viruses, Viroids, and Plasmids. Genomes of over 1,200 organisms can be found in this database, representing both completely sequenced organisms and those for which sequencing is in progress. Users can browse by organism, and view genome maps and protein clusters. Links to other prokaryotic and archaeal genome projects, as well as BLAST tools and access to the rest of the NCBI online resources are available.

Proper citation: NCBI Genome (RRID:SCR_002474) Copy   

•   Source: SciCrunch Registry

http://www.catalogueoflife.org/

Comprehensive and authoritative global index of species of animals, plants, fungi and micro-organisms. It consists of a single integrated species checklist and taxonomic hierarchy. The Catalogue holds essential information on the names, relationships and distributions of over 1.3 million species. This figure continues to rise as information is compiled from diverse sources around the world. There are two distinct versions of the Catalogue of Life: the Dynamic Checklist and the Annual Checklist. Choose the version most suited to your needs. If you have a taxonomic database and would like to join the Species 2000 federation of databases in the Catalogue of Life please contact the Species 2000 Secretariat: all candidate databases go through a peer review process. The Annual Checklist Exchange Format defines the format for exchanging data.

Proper citation: Catalogue of Life (RRID:SCR_006701) Copy   

•   Source: SciCrunch Registry

http://www.brc.riken.jp/inf/en

RIKEN BRC contributes to advancement of life science research by collecting, preserving and distributing biological resources such as experimental animals, experimental plants, cultured cell lines, genetic materials (DNA), and associated bioinformatics. The RIKEN BRC develops novel bioresources to promote scientific research and new technologies to increase the value of bioresources, and also to implement effective procedures for the preservation, quality control and usage of bioresources. The RIKEN BRC is working closely with institutions in Japan and abroad.

Proper citation: RIKEN BioResource Center (RRID:SCR_003250) Copy   

•   Source: SciCrunch Registry

http://www.i3crb.fr/

Project to improve data and sample exchanges and to facilitate large scale analysis of data by improving interoperability of French Biological Resources Centres (BRC or biobanks) IT systems and biological databases. The work done in this project will be linked to other national (IBiSA, ANR, R��seau des Biobanques, Club 3C-R), European (BBMRI, ELIXIR) or international project (P3G). In the preliminary phase (2009-2010) I3-CRB has developed a directory of French Biological Resource Centres / Biobanks where one may register their French BRC or perform a search across all of them. Detail by overall data or kingdom is provided as well as many filtering options. Access to biological samples is provided by the participating BRC''''s. Biological Resources Centres (BRC or biobanks) collect annotated biological samples from various sources (human, animal, plant, bacteria...). The type of samples depends on the collection and the associated thematic (DNA, proteins, cells, tissues, blood, serum, organisms...). The aims of these centers are to collect, to store, to transform and to distribute the biological samples. They constitute a vital infrastructure for life science and health research. Goals of the French Biobanks/Biological Resource Centres: * List French biobanks and their biological collections * Improve sample exchanges * Improve the international visibility of the French biological collections MeSH terms have been integrated: Domains, diseases, and location of the disease (Anatomy). Collections/species are based on NCBI Taxonomy.

Proper citation: I3-CRB: Interoperable IT Infrastructure for Biological Resources Centres / Biobanks - France (RRID:SCR_006991) Copy   

•   Source: SciCrunch Registry

https://www.genevestigator.com/gv/

A high performance search engine for gene expression that integrates thousands of manually curated public microarray and RNAseq experiments and nicely visualizes gene expression across different biological contexts (diseases, drugs, tissues, cancers, genotypes, etc.). There are two basic analysis approaches: # for a gene of interest, identify which conditions affect its expression. # for condition(s) of interest, identify which genes are specifically expressed in this/these conditions. Genevestigator builds on the deep integration of data, both at the level of data normalization and on the level of sample annotations. This deep integration allows scientists to ask new types of questions that cannot be addressed using conventional tools.

Proper citation: Genevestigator (RRID:SCR_002358) Copy   

•   Source: SciCrunch Registry

http://www.medinadiscovery.com/

A non-profit research center established through a public-private alliance between the Regional government of Andalusia, the pharmaceutical company Merck Sharp & Dohme Spain S.A. (MSD), and the University of Granada, that is focused on: # Discovery of new compounds and therapies as new leads for drug development # Contract Research Services: High throughput screening services for lead discovery, ADME/TOX, bioanalysis and metabolomics MEDINA offers 1) natural products screening services for lead discovery on therapeutic targets developed by the customers and 2) compound profiling services for their drug candidates, using a counterscreening panel designed to determine potential risks in cardiovascular safety and drug-drug interactions.

Proper citation: MEDINA Foundation (RRID:SCR_004079) Copy   

•   Source: SciCrunch Registry

http://www.barcodinglife.com/

DNA barcode data with an online workbench that supports data validation, annotation, and publication for specimen, distributional, and molecular data. The data platform consists of three main modules, a data portal, a database of barcode clusters, and data collection workbench. The Public Data Portal provides access to all public barcode data which consists of data generated using the Workbench module as well as data mined from other sources. The Barcode Index Number (BIN) system assigns a unique identifier to each sequence cluster of COI, providing an interim taxonomic system for species in the animal kingdom. The workbench module integrates secure databases with analytical tools to provide a private collaborative environment for researchers to collect, analyze, and publish barcode data and ancillary DNA sequences. This platform also provides an annotation framework that supports tagging and commenting on records and their components (i.e. taxonomy, images, and sequences), allowing for community-based validation of barcode data. By providing specialized services, it aids in the assembly of records that meet the standards needed to gain BARCODE designation in the global sequence databases. Because of its web-based delivery and flexible data security model, it is also well positioned to support projects that involve broad research alliances. Public data records include record identifiers, taxonomy, specimen details, collection information and sequence data. Data that has been publicly released through BOLD can be retrieved manually through the BOLD public interface or automatically through BOLD web services. BOLD analytical tools are available for any data set that exists in BOLD (including publicly available data). Analytical tools can be accessed through the BOLD Project Console under the headings Sequences Analysis or Specimen Aggregates. Some examples include Taxon ID Tree, Alignment Viewer, Distribution Maps, and Image Library.

Proper citation: BOLD (RRID:SCR_004278) Copy   

•   Source: SciCrunch Registry

https://madb.nci.nih.gov/

Microarray data management and analysis system for NCI / Center for Cancer Research scientists / collaborators. Data is secured and backed up on a regular basis, and investigators can authorize levels of access privileges to their projects, allowing data privacy while still enabling data sharing with collaborators.

Proper citation: mAdb (RRID:SCR_006677) Copy   

•   Source: SciCrunch Registry

http://rebase.neb.com/rebase/

Database of information about restriction enzymes and related proteins containing published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data. DNA methyltransferases, homing endonucleases, nicking enzymes, specificity subunits and control proteins are also included. Several tools are available including REBsites, BLAST against REBASE, NEBcutter and REBpredictor. Putative DNA methyltransferases and restriction enzymes, as predicted from analysis of genomic sequences, are also listed. REBASE is updated daily and is constantly expanding. Users may submit new enzyme and/or sequence information, recommend references, or send them corrections to existing data. The contents of REBASE may be browsed from the web and selected compilations can be downloaded by ftp (ftp.neb.com). Additionally, monthly updates can be requested via email.

Proper citation: REBASE (RRID:SCR_007886) Copy   

•   Source: SciCrunch Registry