Rangwala, HuzefaKarypis, George2020-09-022020-09-022007-12-27https://hdl.handle.net/11299/215743We provide a generalized protein sequence annotation toolkit (prosat) for solving classification or regression problems using support vector machines. The key characteristic of our method is its effective use of window-based information to capture the local environment of a protein sequence residue. This window information is used with several kernel functions available within our framework. We show the effectiveness of using the previously developed normalized second order exponential kernel function and experiment with local window-based information at different levels of granularity. This is the manual for this developed software.en-USReport