• 제목/요약/키워드: Bio Organization

검색결과 166건 처리시간 0.027초

BioSubroutine: an Open Web Server for Bioinformatics Algorithms and Subroutines

  • Lee, Joowon;Kim, Hana;Lee, Wonhye;Chung, Dongil;Bhak, Jong
    • Genomics & Informatics
    • /
    • 제3권1호
    • /
    • pp.35-38
    • /
    • 2005
  • We present BioSubroutine, an open depository server that automatically categorizes various subroutines frequently used in bioinformatics research. We processed a large bioinformatics subroutine library called Bio.pl that was the first Bioperl subroutine library built in 1995. Over 1000 subroutines were processed automatically and an HTML interface has been created. BioSubroutine can accept new subroutines and algorithms from any such subroutine library, as well as provide interactive user forms. The subroutines are stored in an SQL database for quick searching and accessing. BioSubroutine is an open access project under the BioLicense license scheme.

Interpretation of Association Networks among Protein Sequence Motifs

  • Kam, Hye J.;Lee, Junehawk;Lee, Doheon;Lee, Kwang H.
    • Genomics & Informatics
    • /
    • 제1권2호
    • /
    • pp.75-79
    • /
    • 2003
  • Every protein can be characterized by either a distinct motif or a combination of motifs. Nevertheless, little is known about the relationships among (more than two) the motifs. Some of the proteins in the world are share motifs for evolutional or other biological benefits - they can save energy, time and resource for controlling and managing a variety of proteins. In some cases of motifs, the tendency is quite common and they can act the 'hub' motif of a network of the motif associations. The hubs are structurally and functionally important in themselves and also important in disease-related mutations. They will be highly resistant mutation to conserve their functions. But, in case of the a rare mutation, mutations on the position of hub can more easily cause fatal diseases.

BioCC: An Openfree Hypertext Bio Community Cluster for Biology

  • Gong Sung-Sam;Kim Tae-Hyung;Oh Jung-Su;Kwon Je-Keun;Cho Su-An;Bolser Dan;Bhak Jong
    • Genomics & Informatics
    • /
    • 제4권3호
    • /
    • pp.125-128
    • /
    • 2006
  • We present an openfree hypertext (also known as wiki) web cluster called BioCC. BioCC is a novel wiki farm that lets researchers create hundreds of biological web sites. The web sites form an organic information network. The contents of all the sites on the BioCC wiki farm are modifiable by anonymous as well as registered users. This enables biologists with diverse backgrounds to form their own Internet bio-communities. Each community can have custom-made layouts for information, discussion, and knowledge exchange. BioCC aims to form an ever-expanding network of openfree biological knowledge databases used and maintained by biological experts, students, and general users. The philosophy behind BioCC is that the formation of biological knowledge is best achieved by open-minded individuals freely exchanging information. In the near future, the amount of genomic information will have flooded society. BioGG can be an effective and quickly updated knowledge database system. BioCC uses an opensource wiki system called Mediawiki. However, for easier editing, a modified version of Mediawiki, called Biowiki, has been applied. Unlike Mediawiki, Biowiki uses a WYSIWYG (What You See Is What You Get) text editor. BioCC is under a share-alike license called BioLicense (http://biolicense.org). The BioCC top level site is found at http://bio.cc/

BioCovi: A Visualization Service for Comparative Genomics Analysis

  • Lee, Jungsul;Park, Daeui;Bhak, Jong
    • Genomics & Informatics
    • /
    • 제3권2호
    • /
    • pp.52-54
    • /
    • 2005
  • Visualization of the homology information is an important method to analyze the evolutionary and functional meanings of genes. With a database containing model genomes of Homo sapiens, Mus muculus, and Rattus norvegicus, we constructed a web­based comparative analysis tool, BioCovi, to visualize the homology information of mammalian sequences on a very large scale. The user interface has several features: it marks regions whose identity is greater than that specified, it shows or hides gaps from the result of global sequence alignment, and it inverts the graph when total identity is higher than the threshold specified.

Bioinformatics Analysis using BioMatrix

  • Sohn, Tae-Kwon
    • 한국유전체학회:학술대회논문집
    • /
    • 한국유전체학회 2006년도 The 15th Korean Genome Organization Conference KOGO 2006 Annual Meeting
    • /
    • pp.77-77
    • /
    • 2006
  • PDF