Literature DB >> 20948565

A new scientific journal linked to a genetic database: towards a novel publication modality.

George P Patrinos1, Emanuel F Petricoin.   

Abstract

Entities:  

Year:  2008        PMID: 20948565      PMCID: PMC2950282          DOI: 10.4061/2009/597478

Source DB:  PubMed          Journal:  Hum Genomics Proteomics        ISSN: 1757-4242


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Human Genomics and Proteomics (HGP) is a new genomics and systems biology journal that is affiliated with an international, open access database. In addition to publishing original research articles and review articles, the journal will also include short descriptions of genetic datasets pertaining to population/ethnic-specific mutation frequencies. HGP is the first scientific journal from SAGE-Hindawi Access to Research, a partnership designed to create a family of open access journals between the publishers SAGE and Hindawi. HGP is an international, peer-reviewed journal, providing a forum for discussion of research on human genomics and proteomics, systems biology, and various aspects of personalized medicine. The journal will publish high-quality original research articles and review articles comprising research on human genomics and proteomics, or innovative methodological and bioinformatics/resource papers that enable the practice of personalized medicine. In particular, HGP's main focus will be on pharmacogenetics/genomics, nutrigenomics, and metabolomics, proteomics, pharmacoproteomics, and systems biology. Furthermore, the journal will feature articles on the identification of the molecular genetic basis of inherited disorders and the available technology for their diagnosis at the DNA level, bioinformatics tools and databases, and finally molecular diagnostics-related issues. A unique feature of HGP will be the affiliation with FINDbase (http://www.findbase.org/), a public, population-specific genetic database that charts causative mutation frequencies and their associated disorders in several countries around the world [1]. As the first journal with an affiliated database in this discipline, HGP offers a unique opportunity to authors to open up access to their research on the characterization of causative mutation and/or biomarker frequency spectra to the widest possible community. In addition to original research and review articles, HGP will accept submissions of genetic datasets, pertaining to the spectrum of causative mutations or biomarkers, for example, pharmacogenetic, forensic markers, in various populations and ethnic groups. These submissions will also be peer-reviewed and, if accepted, will be featured in the journal as a Mutation and Biomarker Dataset with links to the full dataset in FINDbase. As a modern research journal, we will not only ensure that the subjects we cover are of great interest to scientists in the fields of human genomics, proteomics, and personalized medicine but also remain alert for new trends. Also, in order to complement our strengths in human genomics and proteomics research community, we aim to affiliate with a major human genetics society. This way, HGP will not only provide a forum for researchers of the postgenomic era, but will also increase the chances of human variation data capture and provide a centralized system for population-specific data storage and retrieval [2]. Furthermore, HGP's stated goal is to provide authors with fair and rapid peer review and prompt publication. In an effort to facilitate seamless and rapid international scientific communication in this fast-paced field, HGP offers a state-of-the-art web-based submission and peer-review tool, allowing decision-making on submitted manuscripts within 6–8 weeks, and rapid electronic publication on average of 6 weeks upon acceptance. The online submission and peer-review system is accessible from our home page: http://www.sage-hindawi.com/journals/hgp/. Online help is just a click away. All submissions are kept strictly confidential. Referees' accessing to the manuscripts is through the system's web server, and they share their comments on a convenient, standardized, and secure web form. The refereeing process is managed by an internationally renowned editorial team consisting of world-leading experts recognized for their contributions in the fields of human genomics and proteomics. We envisage that HGP will provide the proof of principle for closely related efforts towards developing other “database-journals.” Also, the HGP-FINDbase affiliation can serve as a nonprofit model for sustainable database funding, in a field that currently suffers significantly from the lack of sustainable long-term funding opportunities for genetic database projects [3, 4]. The editorial team of HGP and the publishers SAGE-Hindawi are proud to provide this new discussion forum to the human genomics and proteomics research community, and we encourage authors, referees, and readers to take advantage of it. George P. Patrinos Emanuel F. Petricoin
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2.  WayStation to HUGOBase.

Authors: 
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3.  National and ethnic mutation databases: recording populations' genography.

Authors:  George P Patrinos
Journal:  Hum Mutat       Date:  2006-09       Impact factor: 4.878

4.  FINDbase: a relational database recording frequencies of genetic defects leading to inherited disorders worldwide.

Authors:  Sjozef van Baal; Polynikis Kaimakis; Manyphong Phommarinh; Daphne Koumbi; Harry Cuppens; Francesca Riccardino; Milan Macek; Charles R Scriver; George P Patrinos
Journal:  Nucleic Acids Res       Date:  2006-11-28       Impact factor: 16.971

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Authors:  Jim Kaput; Richard G H Cotton; Lauren Hardman; Michael Watson; Aida I Al Aqeel; Jumana Y Al-Aama; Fahd Al-Mulla; Santos Alonso; Stefan Aretz; Arleen D Auerbach; Bharati Bapat; Inge T Bernstein; Jong Bhak; Stacey L Bleoo; Helmut Blöcker; Steven E Brenner; John Burn; Mariona Bustamante; Rita Calzone; Anne Cambon-Thomsen; Michele Cargill; Paola Carrera; Lawrence Cavedon; Yoon Shin Cho; Yeun-Jun Chung; Mireille Claustres; Garry Cutting; Raymond Dalgleish; Johan T den Dunnen; Carlos Díaz; Steven Dobrowolski; M Rosário N dos Santos; Rosemary Ekong; Simon B Flanagan; Paul Flicek; Yoichi Furukawa; Maurizio Genuardi; Ho Ghang; Maria V Golubenko; Marc S Greenblatt; Ada Hamosh; John M Hancock; Ross Hardison; Terence M Harrison; Robert Hoffmann; Rania Horaitis; Heather J Howard; Carol Isaacson Barash; Neskuts Izagirre; Jongsun Jung; Toshio Kojima; Sandrine Laradi; Yeon-Su Lee; Jong-Young Lee; Vera L Gil-da-Silva-Lopes; Finlay A Macrae; Donna Maglott; Makia J Marafie; Steven G E Marsh; Yoichi Matsubara; Ludwine M Messiaen; Gabriela Möslein; Mihai G Netea; Melissa L Norton; Peter J Oefner; William S Oetting; James C O'Leary; Ana Maria Oller de Ramirez; Mark H Paalman; Jillian Parboosingh; George P Patrinos; Giuditta Perozzi; Ian R Phillips; Sue Povey; Suyash Prasad; Ming Qi; David J Quin; Rajkumar S Ramesar; C Sue Richards; Judith Savige; Dagmar G Scheible; Rodney J Scott; Daniela Seminara; Elizabeth A Shephard; Rolf H Sijmons; Timothy D Smith; María-Jesús Sobrido; Toshihiro Tanaka; Sean V Tavtigian; Graham R Taylor; Jon Teague; Thoralf Töpel; Mollie Ullman-Cullere; Joji Utsunomiya; Henk J van Kranen; Mauno Vihinen; Elizabeth Webb; Thomas K Weber; Meredith Yeager; Young I Yeom; Seon-Hee Yim; Hyang-Sook Yoo
Journal:  Hum Mutat       Date:  2009-04       Impact factor: 4.878

2.  FINDbase: a worldwide database for genetic variation allele frequencies updated.

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Journal:  Nucleic Acids Res       Date:  2010-11-27       Impact factor: 16.971

3.  Recommendations for genetic variation data capture in developing countries to ensure a comprehensive worldwide data collection.

Authors:  George P Patrinos; Jumana Al Aama; Aida Al Aqeel; Fahd Al-Mulla; Joseph Borg; Andrew Devereux; Alex E Felice; Finlay Macrae; Makia J Marafie; Michael B Petersen; Ming Qi; Rajkumar S Ramesar; Joel Zlotogora; Richard G H Cotton
Journal:  Hum Mutat       Date:  2011-01       Impact factor: 4.878

4.  A study of innovative features in scholarly open access journals.

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