http://precedings.nature.com/tags/data Recently posted documents tagged with 'data' Nature Publishing Group en Nature Precedings http://precedings.nature.com/images/header_logo.gif http://precedings.nature.com http://dx.doi.org/10.1038/npre.2009.3157.1 The nematode worm, Caenorhabditis elegans, was the first multicellular organism to be sequenced. Its genome was published in 1998, providing an impetus for gene and protein annotation. Recently, the genome of C. briggsae has been sequenced. This has given bioinformaticans the opportunity to study comparative genomics between two highly similar organisms. Currently, there are 12 species of Caenorhabditis in UniProtKB and over 700 nematode species, including some of interest to parasitology. Functional and sequence annotation from literature and sequence analysis tools are included in each curated record. C. elegans has a relatively small genome size, short life span and a transparent body, making it ideal for knock-out/RNAi studies. Thus many C. elegans UniProtKB entries have characterization details in the newly introduced DISRUPTION PHENOTYPE comment. Many more worm genome sequencing projects are underway, three of which involve species from the Caenorhabditis genus (C. brenneri, C. japonica and C.remanei). We look forward to working with this influx of data and continuing our close collaboration with WormBase. http://dx.doi.org/10.1038/npre.2009.3157.1 Thu, 23 Apr 2009 17:20:07 UTC Worm Annotation in the UniProt Knowledgebase (UniProtKB) doi:10.1038/npre.2009.3157.1 2009-04-23 Duncan J. Legge Nature Precedings 2009-04-23T17:20:07Z Poster Bioinformatics http://creativecommons.org/licenses/by/3.0/ http://dx.doi.org/10.1038/npre.2008.2018.1 Compared to other natural sciences ecological sciences has always been about seeing the bigger picture. The realization that local actions can have global impact has been the hallmark of ecological research. This integrative view is getting more and more accepted now with the recognition that whole is definitely more then sum of its parts. Advancement in computer sciences has now made it possible to comprehend the complexity arising from an integrative approach. This has given rise to a field interfacing computer science and ecological sciences called Ecoinformatics. The other popular parallel and more mature field is bioinformatics or computational biology. The presentation will take the audience on an Ecoinformatics tour touching on present status of Ecoinformatics tools and applications, a futuristic account of where Ecoinformatics is heading, and the pragmatic step by step method to transform future into reality; applying insights from lessons learnt from a more mature interface science ‘Bioinformatics’. Audience will be introduced to Ecoinformatics projects namely Kepler, Vegbank, Jalama, Knowledge network for biocomplexity (KNB), Science Environment for Ecological Knowledge (SEEK). The presentation will also explore the importance of Ecoinformatics for the icons and upstarts in ecology. http://dx.doi.org/10.1038/npre.2008.2018.1 Thu, 26 Jun 2008 10:00:27 UTC Ecoinformatics: where are we, where do we want to go, and how to reach there. doi:10.1038/npre.2008.2018.1 2008-06-26 Abhay Krishna Nature Precedings 2008-06-26T10:00:27Z Presentation Ecology Bioinformatics Earth & Environment http://creativecommons.org/licenses/by/3.0/ http://precedings.nature.com/documents/1526/version/1 Open Data (OD) is an emerging term in the process of defining how scientific data may be published and re-used without price or permission barriers. Scientists generally see published data as belonging to the scientific community, but many publishers claim copyright over data and will not allow its re-use without permission. This is a major impediment to the progress of scholarship in the digital age. This article reviews the need for Open Data, shows examples of why Open Data are valuable and summarizes some early initiatives in formalizing the right of access to and re-use of scientific data. http://precedings.nature.com/documents/1526/version/1 Fri, 18 Jan 2008 19:51:35 UTC Open Data in Science hdl:10101/npre.2008.1526.1 2008-01-18 Peter Murray-Rust Nature Precedings 2008-01-18T19:51:35Z Manuscript Biotechnology Chemistry Genetics & Genomics Molecular Cell Biology Bioinformatics http://creativecommons.org/licenses/by/3.0/ http://dx.doi.org/10.1038/npre.2007.361.1 Presentation based on the publication here:Piwowar HA, Day RS, Fridsma DB (2007) Sharing Detailed Research Data Is Associated with Increased Citation Rate. PLoS ONE 2(3): e308. doi:10.1371/journal.pone.0000308Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available.We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression.This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data. http://dx.doi.org/10.1038/npre.2007.361.1 Thu, 05 Jul 2007 13:07:43 UTC Sharing Detailed Research Data Is Associated with Increased Citation Rate doi:10.1038/npre.2007.361.1 2007-07-05 Heather A. Piwowar Nature Precedings 2007-07-05T13:07:43Z Presentation Bioinformatics http://creativecommons.org/licenses/by/2.5/