What is the difference between Computational Biology & Bioinformatics?

What are some applications of machine learning in Bioinformatics and computational biology?

• where does ML fits in the general scheme of bioinformatics and how can some one with ML background contribute ?

• Answer:

  1. Gene Finding Algorithms: Simple Markov Models; Hidden Markov Models (HMM) ; Viterbi Algorithm; Parameter Estimation 2. Gene Expression Data Analysis: Clustering Algorithms 3. Mulitple Genome Alignment: HMM 4. Motif finding Algorithms: Gibbs sampling, MCMC 5. Finding the peaks/actual binding in ChIP-Seq data: Uses of different discrete distribution and log likelihood parameters 6. Finding miRNA sites: HMM 7. Integrating various biological data and the best model or classification of the data or prediciting its results on the basis of the various features data [Need to make a feature matrix]: Classification Algorithms, Random Forest, Decision Trees, Naive Bayes, Regression, Logistic Regression 8. Differentiating the genes/tfs based on various groups or contingency tables: Anova, t-test, F-test (it comes under classical statistical tests)