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Browsing by Author "Çolak, Recep"

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    ItemOpen Access
    PATIKA: An informatics infrastructure for cellular networks
    (ISCB Org, 2004) Aksay, Çağrı; Ayaz, Aslı; Babur, Özgün; Bilgin, C.; Çetintaş, Ahmet; Çivril, Ali; Çolak, Recep; Çözen, G.; Demir, Emek; Doğrusöz, Uğur; Erson, Zeynep; Gerdaneri, Ozan; Giral, Erhan; Güleşır, Gürcan; Nişancı, Gürkan; Sakarya, O.; Yıldırım, Hilmi
    The PATIKA Project aims for an informatics infrastructure to cope with the inherently complex cellular pathway data and provides software tools with sophisticated visualization technology around a central database using an extensive ontology and data integration mechanisms. It also features advanced database querying, microarray data analysis, and automatic layout components.
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    PATIKAweb: a Web interface for analyzing biological pathways through advanced querying and visualization
    (Oxford University Press, 2006-02-01) Doğrusöz, Uğur; Erson, E. Zeynep; Giral, Erhan; Demir, Emek; Babur, Özgün; Çetintaş, Ahmet; Çolak, Recep
    Summary: PATIKAweb provides a Web interface for retrieving and analyzing biological pathways in the PATIKA database, which contains data integrated from various prominent public pathway databases. It features a user-friendly interface, dynamic visualization and automated layout, advanced graph-theoretic queries for extracting biologically important phenomena, local persistence capability and exporting facilities to various pathway exchange formats. © The Author 2005. Published by Oxford University Press. All rights reserved.
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    PATIKAweb: a Web service for querying, visualizing and analyzing a graph-based pathway database
    (ISCB Org, 2005-06) Aksay, Çağrı; Arık, Fatma; Ataer, Esra; Ayaz, Aslı; Babur, Özgün; Belviranlı, Mehmet E.; Çetintaş, Ahmet; Çolak, Recep; Çözen, G.; Demir, Emek; Dilek, Alptuğ; Doğrusöz, Uğur; Giral, Erhan; Kaya, Engin; Küçük, Evren; Tekin, A. S.; Yıldırım, Hilmi; Erson, Zeynep
    PATIKAweb provides a Web service for retrieving and analyzing biological pathways in PATIKA database, which currently contains data integrated from popular public pathway databases like Reactome. It features a user-friendly interface, dynamic visualization, advanced graph-theoretic queries for extracting biologically important phenomena and exporting facilities to various exchange formats.

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