TY - JOUR T1 - PubData: search engine for bioinformatics databases worldwide JF - bioRxiv DO - 10.1101/069575 SP - 069575 AU - Bohdan B. Khomtchouk AU - Kasra A. Vand AU - Thor Wahlestedt AU - Kelly Khomtchouk AU - Mohammed K. Sayed AU - Claes Wahlestedt Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/08/16/069575.abstract N2 - We propose a search engine and file retrieval system for all bioinformatics databases worldwide. PubData searches biomedical data in a user-friendly fashion similar to how PubMed searches biomedical literature. PubData is built on novel network programming, natural language processing, and artificial intelligence algorithms that can patch into the file transfer protocol servers of any user-specified bioinformatics database, query its contents, retrieve files for download, and adapt to the user’s search preferences.PubData is hosted as a user-friendly, cross-platform graphical user interface program developed using PyQt: http://www.pubdata.bio. The methods are implemented in Python, and are available as part of the PubData project at: https://github.com/Bohdan-Khomtchouk/PubData. ER -