For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
58
views
32
references
 Top references
cited by
36
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      414
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: not found

      StellaBase: The Nematostella vectensis Genomics Database

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          StellaBase, the Nematostella vectensis Genomics Database, is a web-based resource that will facilitate desktop and bench-top studies of the starlet sea anemone. Nematostella is an emerging model organism that has already proven useful for addressing fundamental questions in developmental evolution and evolutionary genomics. StellaBase allows users to query the assembled Nematostella genome, a confirmed gene library, and a predicted genome using both keyword and homology based search functions. Data provided by these searches will elucidate gene family evolution in early animals. Unique research tools, including a Nematostella genetic stock library, a primer library, a literature repository and a gene expression library will provide support to the burgeoning Nematostella research community. The development of StellaBase accompanies significant upgrades to CnidBase, the Cnidarian Evolutionary Genomics Database. With the completion of the first sequenced cnidarian genome, genome comparison tools have been added to CnidBase. In addition, StellaBase provides a framework for the integration of additional species-specific databases into CnidBase. StellaBase is available at http://www.stellabase.org.

          Related collections

          Most cited references32

          • Record: found
          • Abstract: found
          • Article: not found

          The Pfam protein families database.

          A. Bateman, Lachlan Coin (2004)
          Pfam is a large collection of protein families and domains. Over the past 2 years the number of families in Pfam has doubled and now stands at 6190 (version 10.0). Methodology improvements for searching the Pfam collection locally as well as via the web are described. Other recent innovations include modelling of discontinuous domains allowing Pfam domain definitions to be closer to those found in structure databases. Pfam is available on the web in the UK (http://www.sanger.ac.uk/Software/Pfam/), the USA (http://pfam.wustl.edu/), France (http://pfam.jouy.inra.fr/) and Sweden (http://Pfam.cgb.ki.se/).
          Article 0 comments Cited 1104 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Unexpected complexity of the Wnt gene family in a sea anemone.

            Arne Kusserow, Kevin C.H. Pang, Carsten Sturm … (2005)
            The Wnt gene family encodes secreted signalling molecules that control cell fate in animal development and human diseases. Despite its significance, the evolution of this metazoan-specific protein family is unclear. In vertebrates, twelve Wnt subfamilies were defined, of which only six have counterparts in Ecdysozoa (for example, Drosophila and Caenorhabditis). Here, we report the isolation of twelve Wnt genes from the sea anemone Nematostella vectensis, a species representing the basal group within cnidarians. Cnidarians are diploblastic animals and the sister-group to bilaterian metazoans. Phylogenetic analyses of N. vectensis Wnt genes reveal a thus far unpredicted ancestral diversity within the Wnt family. Cnidarians and bilaterians have at least eleven of the twelve known Wnt gene subfamilies in common; five subfamilies appear to be lost in the protostome lineage. Expression patterns of Wnt genes during N. vectensis embryogenesis indicate distinct roles of Wnts in gastrulation, resulting in serial overlapping expression domains along the primary axis of the planula larva. This unexpectedly complex inventory of Wnt family signalling factors evolved in early multi-cellular animals about 650 million years (Myr) ago, predating the Cambrian explosion by at least 100 Myr (refs 5, 8). It emphasizes the crucial function of Wnt genes in the diversification of eumetazoan body plans.
            Article 0 comments Cited 168 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Evaluation of gene structure prediction programs.

              R. Guigó, M Burset (1996)
              We evaluate a number of computer programs designed to predict the structure of protein coding genes in genomic DNA sequences. Computational gene identification is set to play an increasingly important role in the development of the genome projects, as emphasis turns from mapping to large-scale sequencing. The evaluation presented here serves both to assess the current status of the problem and to identify the most promising approaches to ensure further progress. The programs analyzed were uniformly tested on a large set of vertebrate sequences with simple gene structure, and several measures of predictive accuracy were computed at the nucleotide, exon, and protein product levels. The results indicated that the predictive accuracy of the programs analyzed was lower than originally found. The accuracy was even lower when considering only those sequences that had recently been entered and that did not show any similarity to previously entered sequences. This indicates that the programs are overly dependent on the particularities of the examples they learn from. For most of the programs, accuracy in this test set ranged from 0.60 to 0.70 as measured by the Correlation Coefficient (where 1.0 corresponds to a perfect prediction and 0.0 is the value expected for a random prediction), and the average percentage of exons exactly identified was less than 50%. Only those programs including protein sequence database searches showed substantially greater accuracy. The accuracy of the programs was severely affected by relatively high rates of sequence errors. Since the set on which the programs were tested included only relatively short sequences with simple gene structure, the accuracy of the programs is likely to be even lower when used for large uncharacterized genomic sequences with complex structure. While in such cases, programs currently available may still be of great use in pinpointing the regions likely to contain exons, they are far from being powerful enough to elucidate its genomic structure completely.
              Article 0 comments Cited 129 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Nucleic Acids Res
                Journal ID (publisher-id): Nucleic Acids Research
                Title: Nucleic Acids Research
                Publisher: Oxford University Press
                ISSN (Print): 0305-1048
                ISSN (Electronic): 1362-4962
                Publication date Collection: 01 January 2006
                Publication date (Print): 01 January 2006
                Publication date (Electronic): 28 December 2005
                Volume: 34
                Issue: Database issue
                Pages: D495-D499
                Affiliations
                1Department of Biology, Boston University 5 Cummington Street, Boston, MA 02215, USA
                2Bioinformatics Program, Boston University 44 Cummington Street, Boston, MA 02215, USA
                3National Human Genome Research Institute 5625 Fishers Lane, Room 5N-01Q, MSC 9400, Bethesda, MD 20892-9400
                4Joint Genome Institute University, Lawrence Berkeley National Laboratory and One Cyclotron Berkeley, CA 94720, USA
                Author notes
                *To whom correspondence should be addressed. Tel: +1 617 353 6984; Fax: +1 617 353 6340; Email: jrf3@ 123456bu.edu

                The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors

                Article
                DOI: 10.1093/nar/gkj020
                PMC ID: 1347383
                PubMed ID: 16381919
                SO-VID: fe939f30-2e98-424e-9a18-1e375f0ec617
                Copyright © © The Author 2006. Published by Oxford University Press. All rights reserved
                License:

                The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions@ 123456oxfordjournals.org

                History
                Date received : 15 August 2005
                Date accepted : 17 September 2005
                Categories
                Subject: Article

                ScienceOpen disciplines: Genetics
                Data availability:
                ScienceOpen disciplines: Genetics

                Comments

                Comment on this article

                scite_

                Similar content414

                See all similar

                Cited by36

                See all cited by

                Most referenced authors850

                See all reference authors