Upcoming Events

July 19-23, 2013: 21st Annual International Conference on Intelligent Systems for Molecular Biology (ISMB).

April 7-10, 2013: 17th Annual International Conference on Research in Computational Molecular Biology (RECOMB).

April 15-19, 2013: IEEE Symposium on Computational Intelligence in Bioinformatics & Computational Biology.

March 4-6, 2013: 5th international conference on Bioinformatics & Computational Biology (BICoB).

More events....


Oct 18, 2012: A new Postdoctoral Fellow, Dr. Sitanshu Sekhar Sahu has joined our lab.

Aug 13-17, 2012: A comprehensive 1-week Bioinformatics Workshop was organized on campus; co-organized by OSU's iCREST center. Visit facebook page for details.

Apr 23, 2012: Co-hosted Dr. James Tiedje (Director, NSF Center for Microbial Ecology, Michigan State University) as an invited iCREST speaker; see flyer for details.

Apr 13, 2012: World renowned Computational Biologist, Dr. Eugene Koonin (NCBI) visited our lab, and delivered an invited lecture on campus as part of iCREST speaker series; see flyer for details. Video on YouTube.

Mar 16, 2012: We welcome Dr. Chris Town (Group leader, Plant Genomics, JCVI) as an invited iCREST speaker; see flyer for details.

Feb 14, 2012: KBL receives new grant from OCAST to develop bioinformatics systems for plant-microbe interaction networks; immediate Postdoc opening available.

Oct 21, 2011: We welcome Dr. Patrick X. Zhao (Head, Bioinformatics Lab, Noble Foundation) as an invited iCREST speaker; see flyer for details.

Sep 17, 2011: Tyler Weirick joins our lab (under iCREST) as a Graduate Research Assistant.

Aug 17, 2011: Robyn Kelley, a new master's student joins our lab as a Graduate Research Assistant.

July 21, 2011: KBL receives OSU funding to establish an iCREST center for Bioinformatics and Computational Biology.

June 08, 2011: KBL welcomes its first student, Kalpana Varala to work as a summer scholar in lab.



Tools Developed

1. AtSubP: A highly accurate Arabidopsis thaliana Subcellular Localization predictor. It also hosts the whole Arabidopsis-proteome predictions and the comparision with Swiss-Prot / TAIR annotations along with the training/testing datasets. Read more...
2. RB-Pred: A first of its kind worldwide, this Support Vector Machine (SVM) based server forecasts rice leaf blast severity based on the weather parameters for general use to plant pathologists and farming community. Read more...
3. PLpred: This online tool firstly identifies a query protein to be a plastid or non-plastid one and then, classifies the identified plastid proteins further into four categories viz. Chloroplast, Chromoplast, Amyloplast or Etioplast proteins. Read more...
4. RSLpred: The finished rice (Oryza sativa L.) genome sequence now demands for a fully automated system towards reliable and accurate prediction of subcellular localization of rice proteins. RSLpred is developed with this aim for genome-scale subcellular prediction of encoded rice proteins. Read more...
5. AP-iNET:A computational prediction system based off of host-pathogen protein interactions in the Arabidopsis-Pseudomonas model system. This webtool allows users to input host and pathogen protein sequences to predict whether they are interacting proteins within a host-pathogen network. Read more...
6. LigPred: A comprehensive prediction system for the identification and classification of enzymes related to the synthesis and degradation of lignin.  Read more...
7. iPMNET: Computationally predicting and visualising the Arabidopsis thaliana-Pseudomanas Syringae protien interaction network.  Read more...