Bioinformatics is a multi-disciplinary science focusing on the applications of computational methods and mathematical statistics to molecular biology. Choosing bioinformatics as specialization gives an opportunity to get involved with the most interesting computational techniques dealing with biological data to contribute to cure and diagnose some of genetic disorders that affect biological machines. The purpose of this library (which defines namespace BioQt), is to provide a set of routines for handling biological sequence data for Qt/C++ users (the full source code available on https://github.com/alrawab/BioQt). This thesis will shed the light on some modules of BioQt SDK such as exact string matching problem, Microsatellite Repeats, Palindromic sequences and sequence alignment algorithms (Longest Common Subsequence, Needleman-Wunsch and Smith-Waterman). This thesis examines and evaluates these challenging problems in bioinformatics by using Qt/C++.