Community-based Linking of Biological Network Resources: Databases, Formats and Tools

نویسندگان

  • Michael Telgkamp
  • Dirk Koschützki
  • Henning Schwöbbermeyer
  • Falk Schreiber
چکیده

The analysis of biological networks is increasingly important in the life sciences and in particular in systems biology. Computer-based analysis tools are exploited for the investigation of these networks. However, to find relevant data sources can be a time-consuming task, access to information changes, frequently it is not obvious to a user which tools can be used in combination with specific data sources, and network data is often not available in a format directly usable by analysis tools. To assist in collecting information about biological network data sources, and to help in investigating possible combinations of data sources and analysis software, we created BiNCo-wiki. BiNCo-wiki is a wiki system that stores information related to biological networks and allows all users to add or modify this information in an easy way. The collaborative character of a wiki system supports easy sharing of information and allows the community-based extension of the information already stored in BiNCo-wiki. We describe the general structure and functionality of the system and its initial content. BiNCo-wiki is accessible, free of charge, at http://pgrc.ipk-gatersleben.de/ BiNCO-wiki.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

BioMart Central Portal: an open database network for the biological community

BioMart Central Portal is a first of its kind, community-driven effort to provide unified access to dozens of biological databases spanning genomics, proteomics, model organisms, cancer data, ontology information and more. Anybody can contribute an independently maintained resource to the Central Portal, allowing it to be exposed to and shared with the research community, and linking it with th...

متن کامل

Chapter 17. LinkOut: Linking to External Resources from Entrez Databases

LinkOut is a powerful linking feature of the Entrez search and retrieval system (Chapter 15). It is designed to provide Entrez users with links from database records to a wide variety of relevant online resources, including full-text publications, biological databases, consumer health information, and research tools. (See Sample Links for examples of LinkOut resources.) The goal of LinkOut is t...

متن کامل

BioSharing: curated and crowd-sourced metadata standards, databases and data policies in the life sciences

BioSharing (http://www.biosharing.org) is a manually curated, searchable portal of three linked registries. These resources cover standards (terminologies, formats and models, and reporting guidelines), databases, and data policies in the life sciences, broadly encompassing the biological, environmental and biomedical sciences. Launched in 2011 and built by the same core team as the successful ...

متن کامل

Linked Data Driven Dynamic Web Services for Providing Multilingual Access to Diverse Japanese Humanities Databases

Several cultural domain resources in different languages have become available as Linked Open Data (LOD) in the last few years. However, there is little re-use of this data in multilingual information retrieval applications. The paper discusses Linked Data driven approaches in providing integrated multilingual access to diverse Japanese humanities databases by linking and re-using LOD resources...

متن کامل

BioXSD: the common data-exchange format for everyday bioinformatics web services

MOTIVATION The world-wide community of life scientists has access to a large number of public bioinformatics databases and tools, which are developed and deployed using diverse technologies and designs. More and more of the resources offer programmatic web-service interface. However, efficient use of the resources is hampered by the lack of widely used, standard data-exchange formats for the ba...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • J. Integrative Bioinformatics

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2007