**/**Computational Biology

**Computational Biology** involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation. At MatlabHomeworkExperts we have highly qualified and dedicated experts who have been helping the students in their assignments from past couple of years.

**Following is the list of topics in Computational Biology in which our experts provide help with:**

- Algorithms for reconstructing phylogenies
- Analyzing large datasets in R
- Applications in gene networks, oscillators, and genetic toggle switches
- Applications in neuroscience models and action potentials
- Applications in population biology and epidemiology
- Biological and Biomedical Sciences
- Burrows-Wheeler Transform
- Central limit theorem and deterministic limits
- Classification of open ended problem
- Coin flipping and binomial distribution in
- Data integration II; Challenges, combining multiple, types of data, NLP
- Data, Information and Knowledge Management
- Diffusion equation: applications in neuroscience of decision making
- Dominant eigenvalues and population growth
- Equilibrium states -- dominant eigenvalues return!
- Euler-Lotkerra formula and root-finding
- Evolutionary theory
- Feedback driven project development
- Fitting and testing models
- Gene expression analysis
- Genomics/Comparative Genomics
- Hidden Markov & Inflow-outflow models
- Information Retrieval Algorithms: Patterns and motifs
- Least squares fits, concept of maximum likelihood
- MATLAB: vectors, matrices, loops, logic, plotting
- Matrix models -- discrete time, linear maps
- Michaelis-Mentin Kinetics: enzyme-mediated chemical reactions
- Modeling objectives: prediction and theory development
- Non-coding RNAssiRNAS, miRNAs
- Pattern matching algorithms
- Plant and Microbial Sciences
- Position Specific Matrices
- Project presentation demonstration techniques
- Prokaryote and Viral Genomes
- Rapid Sequence Searching Algorithms
- Sequence alignment and Deep Sequencing
- State of art review of computer techniques used in CBB
- Transition probabilities and Markov chains
- Tree construction algorithms

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