Protein: Structure, Function, and Interaction -- Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins -- A Method to Find Sequentially Separated Motifs in Biological Sequences (SSMBS) -- Predicting SUMOylation Sites -- DFS Based Partial Pathways in GA for Protein Structure Prediction -- Evaluation of the Stability of Folding Nucleus upon Mutation -- Prediction of Protein Beta-Sheets: Dynamic Programming versus Grammatical Approach -- Using Multi-scale Glide Zoom Window Feature Extraction Approach to Predict Protein Homo-oligomer Types -- Extraction of Binding Sites in Proteins by Searching for Similar Local Molecular Surfaces -- Learning, Classification, and Clustering -- A Clustering Based Hybrid System for Mass Spectrometry Data Analysis -- A Modified Markov Clustering Approach for Protein Sequence Clustering -- Feature Selection and Classification for Small Gene Sets -- Pseudoknot Identification through Learning TAGRNA -- Support Vector Based T-Score for Gene Ranking -- Prediction of Transcription Factor Families Using DNA Sequence Features -- g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines -- Bio-Molecular Networks and Pathways Analysis -- Domain-Domain Interaction Identification with a Feature Selection Approach -- Dividing Protein Interaction Networks by Growing Orthologous Articulations -- Constraint Minimization for Efficient Modeling of Gene Regulatory Network -- Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models -- TopEVM: Using Co-occurrence and Topology Patterns of Enzymes in Metabolic Networks to Construct Phylogenetic Trees -- Generating Synthetic Gene Regulatory Networks -- Microarray and Gene Expression Analysis -- Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm -- Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem -- On Finding and Interpreting Patterns in Gene Expression Data from Time Course Experiments -- Microarray Design Using the Hilbert–Schmidt Independence Criterion -- Identifying Non-random Patterns from Gene Expression Profiles -- A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets -- Weighted Top Score Pair Method for Gene Selection and Classification -- Data Mining and Knowledge Discovery -- Identifying Conserved Discriminative Motifs -- Exploratory Data Analysis for Investigating GC-MS Biomarkers -- Multi-relational Data Mining for Tetratricopeptide Repeats (TPR)-Like Superfamily Members in Leishmania spp.: Acting-by-Connecting Proteins -- Heuristic Non Parametric Collateral Missing Value Imputation: A Step Towards Robust Post-genomic Knowledge Discovery -- Protein Expression Molecular Pattern Discovery by Nonnegative Principal Component Analysis -- Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer -- Discovery of Biomarkers for Hexachlorobenzene Toxicity Using Population Based Methods on Gene Expression Data -- Applications of High Performance Computing -- Exploiting Fine-Grained Parallelism in the Phylogenetic Likelihood Function with MPI, Pthreads, and OpenMP: A Performance Study -- Massively Parallelized DNA Motif Search on the Reconfigurable Hardware Platform COPACOBANA -- GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences -- Accelerating BLASTP on the Cell Broadband Engine.