SLIF finds fluorescence microscope images in on-line journal articles, and indexes them according to cell line, proteins visualized, and resolution. Images can be accessed via the SLIF Web database.

An on-line summary of the architecture of SLIF can be found here.

A presentation on SLIF from the 2008 ISMB conference can be found on the Presentations page.

The initial development of SLIF was supported by grant 017396 from the Commonwealth of Pennsylvania Tobacco Settlement Fund. Further development is supported by National Institutes of Health grant R01 GM078622, and interfacing between SLIF and the National Center for Integrative Biomedical Informatics is supported by grant U54 DA021519. Papers from the Proceedings of the National Academy of Sciences (USA) used in development and testing of SLIF were obtained with the generous permission of Bruce Alberts and Ken Fulton of the National Academy of Sciences and with the kind assistance of David Lipman and his group at the

R. F. Murphy, M. Velliste, J. Yao, and G. Porreca (2001). Searching Online Journals for Fluorescence Microscope Images Depicting Protein Subcellular Location Patterns. Proceedings of the 2nd IEEE International Symposium on Bio-Informatics and Biomedical Engineering (BIBE 2001), pp. 119-128.

William W. Cohen, Richard Wang, and Robert Murphy (2003). Understanding Captions in Biomedical Publications. Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2003), pp. 499-504.

William W. Cohen, Zhenzhen Kou, and Robert F. Murphy (2003). Extracting Information from Text and Images for Location Proteomics. Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003), pp. 2-9.

Robert F. Murphy, Zhenzhen Kou, Juchang Hua, Matthew Joffe, and William W. Cohen (2004). Extracting and Structuring Subcellular Location Information from On-line Journal Articles: The Subcellular Location Image Finder Proceedings of IASTED International Conference on Knowledge Sharing and Collaborative Engineering (KSCE-2004).

Z. Kou, W.W. Cohen, and R.F. Murphy (2005). High-recall protein entity recognition using a dictionary. Bioinformatics 21(suppl_1):i266-i273 (Proceedings of the 13th Annual International Conference on Intelligent Systems for Molecular Biology).

Current Robert F. Murphy William W. Cohen Eric Xing Juchang Hua Zhenzhen Kou Amr Ahmed Andrew Arnold Luis Coelho Quentin Mercer Saboor Sheikh

Past Meel Velliste Gregory Porreca Richard Wang Matt Joffe Orhan Ayasli Yuntao Qian

Images found with SLIF can be queried via the SLIF Web database.

Last Updated: 21 Jul 2008

Copyright © 1996-2007 by the Murphy Lab