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http://cfgp.riceblast.snu.ac.kr/main.php

The CFGP (Comparative Fungal Genomics Platform) was designed for comparative genomics projects with diverse fungal genomes.
The CFGP provides important bioinformatic tools, such as BLAST search, ClustalW analysis, InterPro Scan, SignalP, and PSORT2, which are very common tools for the researchers in the field of genomics. Many of them have been executed in the unix environment, so some specific computing knowledge is required. In the CFGP, users can use these tools simply by clicking their mouse button. In addition, all of the results of the analysis will be stored in the CFGP, so you can easily share those results with other members.

Proper citation: Comparative Fungal Genomics Platform (RRID:SCR_012910) Copy   

•   Source: SciCrunch Registry

http://bcbio.wordpress.com/

This blog will appeal to those dealing with the practical day to day work of biological data analysis and presentation.

Proper citation: Blue Collar Bioinformatics (RRID:SCR_012913) Copy   

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http://evs.gs.washington.edu/EVS/

The goal of the project is to discover novel genes and mechanisms contributing to heart, lung and blood disorders by pioneering the application of next-generation sequencing of the protein coding regions of the human genome across diverse, richly-phenotyped populations and to share these datasets and findings with the scientific community to extend and enrich the diagnosis, management and treatment of heart, lung and blood disorders. The groups participating and collaborating in the NHLBI GO ESP include: Seattle GO - University of Washington, Seattle, WA Broad GO - Broad Institute of MIT and Harvard, Cambridge, MA WHISP GO - Ohio State University Medical Center, Columbus, OH Lung GO - University of Washington, Seattle, WA WashU GO - Washington University, St. Louis, MO Heart GO - University of Virginia Health System, Charlottesville, VA ChargeS GO - University of Texas Health Sciences Center at Houston

Proper citation: NHLBI Exome Sequencing Project (ESP) (RRID:SCR_012761) Copy   

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http://www.ebi.ac.uk/ena/search/

A nucleotide sequence similiary search tool which is far faster than BLAST for large datasets, with only a marginal loss in search sensitivity.

Proper citation: ENA Sequence Search (RRID:SCR_013170) Copy   

•   Source: SciCrunch Registry

http://www.phenomicdb.de/

PhenomicDB is a multi-organism phenotype-genotype database including human, mouse, fruit fly, C.elegans, and other model organisms. The inclusion of gene indices (NCBI Gene) and orthologs (same gene in different organisms) from HomoloGene allows to compare phenotypes of a given gene over many organisms simultaneously. PhenomicDB contains data from publicly available primary databases: FlyBase, Flyrnai.org, WormBase, Phenobank, CYGD, MatDB, OMIM, MGI, ZFIN, SGD, DictyBase, NCBI Gene, and HomoloGene. We brought this wealth of data into a single integrated resource by coarse-grained semantic mapping of the phenotypic data fields, by including common gene indexes (NCBI Gene), and by the use of associated orthology relationships (HomoloGene). PhenomicDB is thought as a first step towards comparative phenomics and will improve the understanding of the gene functions by combining the knowledge about phenotypes from several organisms. It is not intended to compete with the much more dedicated primary source databases but tries to compensate its partial loss of depth by linking back to the primary sources. The basic functional concept of PhenomicDB is an integrated meta-search-engine for phenotypes. Users should be aware that comparison of genotypes or even phenotypes between organisms as different as yeast and man can have serious scientific hurdles. Nevertheless finding that the phenotype of a given mouse gene is described as ��similar to psoriasis�� and at the same time that the human ortholog has been described as a gene causing skin defects can lead to novelty and interesting hypotheses. Similarly, a gene involved in cancer in mammalian organisms could show a proliferation phenotype in a lower organism such as yeast and thus, give further insights to a researcher.

Proper citation: PhenomicDB (RRID:SCR_013051) Copy   

•   Source: SciCrunch Registry

http://www.scmbb.ulb.ac.be/Users/benoit/LigASite

A gold-standard dataset of biologically relevant binding sites in protein structures. It consists of proteins with one unbound structure and at least one structure of the protein-ligand complex. Both a redundant and a non-redundant (sequence identity lower than 25) version is available. Quaternary structures proposed by PQS (2) are used for all structures in the dataset. The availability of both unbound and bound structures for each protein guarantees that our dataset can be used to benchmark binding site prediction methods, in conditions that mimic cases where the binding site is truly unknown. In cases where several different bound structures are available for a given protein, all are used to define the binding sites.

Proper citation: LIGand Attachment SITE Database (RRID:SCR_013172) Copy   

•   Source: SciCrunch Registry

http://www.benoslab.pitt.edu/comir/

Data analysis service that predicts whether a given mRNA is targeted by a set of miRNAs. ComiR uses miRNA expression to improve and combine multiple miRNA targets for each of the four prediction algorithms: miRanda, PITA, TargetScan and mirSVR. The composite scores of the four algorithms are then combined using a support vector machine trained on Drosophila Ago1 IP data.

Proper citation: ComiR (RRID:SCR_013023) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.biol.uoa.gr/ExTopoDB/

A publicly accessible database of experimentally derived topological models of transmembrane proteins. It contains experimental information about the topology of 2143 transmembrane proteins. This information was collected from studies in the literature that reported the use of biochemical methods for the determination of the topology of transmembrane proteins. Each record contains unique information about the given protein, such as its sequence, cross-references to many publicly available databases worldwide, the protein''s name and organism source. The web interface of the database offers the user the ability to submit advanced queries for text search within ExTopoDB''s protein entries and there is also an interface for running BLAST against the database. Furthermore, the results of topology prediction using the HMM-TM algorithm are included for each protein in the database (unconstrained prediction) and we also incorporated the experimental information about the topology of the proteins in the HMM-TM prediction procedure, producing more reliable topology models (constrained prediction).

Proper citation: ExTopoDB (RRID:SCR_013143) Copy   

•   Source: SciCrunch Registry

http://www.sph.uth.tmc.edu/RetNet/disease.htm

RetNet provides tables of genes and loci causing inherited retinal diseases, such as retinitis pigmentosa, macular degeneration and Usher syndrome, and related information. This information is provided to the research community and other interested individuals for research purposes only. The information should not be used for medical or commercial purposes. Although we strive for accuracy and completeness, we cannot guarantee that all information is correct and complete. We welcome comments and suggestions!

Proper citation: Retinal Information Network (RRID:SCR_012733) Copy   

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http://brp.kfshrc.edu.sa/ared

The ARE-mRNA database (ARED) reveals that ARE-mRNAs encode a wide repertoire of functionally diverse proteins belonging to different biological processes and important in several disease states. Cluster analysis was performed using the ARE sequences to demonstrate potential relationships between the type and number of ARE motifs, and the functional characteristics of the proteins. Sponsors: This database is supported by The King Faisal Specialist Hospital and Research Center. Keywords: mRNA, Database, Au-rich, Element, Biological, Disease, State, Cluster, Analysis, Motif, Functional, Characterstic, Protein,

Proper citation: AU-RICH ELEMENT-CONTAINING mRNA DATABASE (RRID:SCR_012978) Copy   

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http://bioinformatics.psb.ugent.be/webtools/rRNA/

Database compiles all complete or nearly complete SSU (small subunit) and LSU (large subunit) ribosomal RNA sequences. Sequences are provided in aligned format. Alignment takes into account secondary structure information derived by comparative sequence analysis of thousands of sequences. Additional information such as literature references, taxonomy, secondary structure modles and nucleotide variability maps, is also available.

Proper citation: European ribosomal RNA database (RRID:SCR_012735) Copy   

•   Source: SciCrunch Registry

http://swissmodel.expasy.org/repository

Database of annotated three-dimensional comparative protein structure models generated by the fully automated homology-modelling pipeline SWISS-MODEL.

Proper citation: SWISS-MODEL Repository (RRID:SCR_013032) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/Projects/D_rerio/

Database of zebrafish genome.

Proper citation: Zebrafish Genome Project (RRID:SCR_013157) Copy   

•   Source: SciCrunch Registry

http://esharkgenome.imcb.a-star.edu.sg

To explore the elephant shark genome, we have conducted a survey-sequencing and comparative analysis of the elephant shark genome in collaboration with J. Craig Venter Institute. The elephant shark sequences generated under this project have been deposited at GenBank under the project accession number AAVX01000000. The sequences can also be searched using BLAST and retrieved here. Cartilaginous fishes (Chondrichthyes) represented by sharks, rays, skates and chimaeras, are phylogenetically the oldest group of living jawed vertebrates. They constitute an important group for our understanding of the origins of the complex developmental and physiological systems of jawed vertebrates. They are also an useful outgroup for bony vertebrates such as tetrapods and teleost fishes and help in identifying specialized features that have led to the evolution of diverse groups of bony vertebrates. The elephant shark (Callorhinchus milii), also known as the elephant fish and ghost shark, is a chimaera belonging to the Order Chimaeriformes and Family Callorhynchidae. It has the smallest genome among the known cartilaginous fish genomes. Thus, it was proposed as a model cartilaginous fish genome for whole-genome sequencing and comparative analysis (Venkatesh et al. 2005. Curr. Biol. 15: R82-R83). The following resources of the elephant shark are available for the scientific community: *Elephant Shark 1.4x assembly fasta sequences zipped 227 megabytes *Genomic DNA *~8x coverage BAC library (average insert size, ~150 kb) *cDNA libraries (under construction) *cDNA (dated 11 April 2008) with orthologs in 5 vertebrates (human, opossum, chicken, frog, fugu)

Proper citation: Elephant shark genome sequencing (RRID:SCR_013158) Copy   

•   Source: SciCrunch Registry

http://www.replicationdomain.org

ReplicationDomain is an online database resource for storing, sharing and visualizing DNA replication timing and transcription data, as well as other numerical epigenetic data types. Data is typically obtained from DNA microarrays or DNA sequencing. Our site has a user registration system that allows registered users to upload their own data sets. While non-registered users may freely view and download public data sets, registered users may upload their own data sets and view them privately, share them with other registered users, or make published data sets publicly available. In addition we have implemented additional mechanisms that allow users to restrict sharing of data sets to a user designated group of registered users. Further details on the database usage are in the User Guide Page, while data set details are in the Documentation Page. Replication timing data were obtained by hybridizing early and late replication intermediates to Nimblegen oligonucleotide arrays, as described in Hiratani et al [PLoS Biology (2008) 6: e245]. Briefly, replication intermediates are prepared from cells that are first pulse-labeled with BrdU and then sorted into early and late stages of S-phase by flow cytometry, followed by anti-BrdU immunoprecipitation of the BrdU-substituted (nascent) replication intermediates that were synthesized either early or late during S-phase. After unbiased amplification of recovered DNA, the samples are differentially labeled with Cy3 and Cy5 and hybridized to Nimblegen CGH arrays containing one oligonucleotide probe every 5.8 kb across the mouse genome (Nimblegen, 2006-07-26_MM8_WG_CGH). Raw data from two independent biological replicates in which the early and late replicating DNA were labeled reciprocally with Cy3 and Cy 5 (dye switch) are loess-normalized and scaled to have the same median-absolute deviation using the limma package (R/Bioconductor) and then averaged. Finally, the data are smoothed with a weighted moving average (loess: local polynomial smoothing).

Proper citation: Replication Domain (RRID:SCR_012941) Copy   

•   Source: SciCrunch Registry

http://omabrowser.org/cgi-bin/gateway.pl

A database that identifies orthologs among publicly available, complete genomes. It offers a comprehensive search and numerous display options for 4.7 million proteins from 1000 species. The main features are the orthologous relationships which can be accessed either group-wise, where all group members are orthologous to all other group members, or on a sequence-centric basis, where for a given protein all its orthologs in all other species are displayed.

Proper citation: OMA Browser (RRID:SCR_011978) Copy   

•   Source: SciCrunch Registry

http://www.ucl.ac.uk/ncl/

It serves as a gateway for clinicians, families and researchers who have an interest in or are affected by Batten disease or who wish to find out more. Information can be accessed via four main routes - Clinicians, Families, Researchers, Professional Support. The Clinical route describes Batten disease and includes details on diagnosis and diagnostic services. The Family route also describes Batten disease and lists support groups. The Research route includes the NCL Mutation Database, established in 1998, and other useful information. The Professional Support route includes details of coordinated initiatives to support those affected by Batten disease. A fifth route, Research Consortia, serves to meet research needs and currently act as a focus for collaborative efforts to identify the remaining human and animal NCL genes and facilitate functional approaches. An additional route, Creativity, has been launched to display creative items from families with Batten disease, and to celebrate life, in both its fullness and fragility.

Proper citation: NCL Resource - A gateway for Batten disease (RRID:SCR_012826) Copy   

•   Source: SciCrunch Registry

http://affymetrix.arabidopsis.info

The NASC International Affymetrix Service is a commercial website that provides transcripomics services for a fee. This data is available for any available species, any consortium chip, and any kind of experiment. The website also provides open source and free Xspecies software and techniques that can be (examples) used to perform GeneChip transcriptomics experiments on species for which no current Affymetrix chip exists.

Proper citation: NASCs International Affymetrix Service (RRID:SCR_012825) Copy   

•   Source: SciCrunch Registry

https://www.orthodb.org/

Database of orthologous protein coding genes across vertebrates, arthropods, fungi, basal metazoans, and bacteria.

Proper citation: OrthoDB (RRID:SCR_011980) Copy   

•   Source: SciCrunch Registry

http://hpd.nlm.nih.gov/

A database of ingredients in brand-name household products linked to health information from Material Safety Data Sheets (MSDS) provided by manufacturers. The database is designed to help answer the following typical questions: *What are the chemical ingredients and their percentage in specific brands? *Which products contain specific chemical ingredients? *Who manufactures a specific brand? How do I contact this manufacturer? *What are the acute and chronic effects of chemical ingredients in a specific brand? *What other information is available about chemicals in the toxicology-related databases of the National Library of Medicine? NLM and its Contractor (the Database Providers) do not test products nor investigate to determine if this information is complete or accurate.

Proper citation: Household Products Database (RRID:SCR_013006) Copy   

•   Source: SciCrunch Registry