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Introduction to Bioinformatics by Yildiz Technical University

This note covers the following topics: what is bioinformatics, Path to the bioinformatics, Scope of computational biology, The Central Dogma of Molecular Biology, Genomics, Proteomics, Killer application, Cells, Signaling Pathways Control gene activity, DNA the code of life and genetic information chromosomes.

Author(s): Yildiz Technical University

121 Pages

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Bioinformatics by Nakaya Helder

This page covers the following topics related to Bioinformatics : Text Mining Gene Selection to Understand Pathological Phenotype Using Biological Big Data, Single-Cell RNA Sequencing Procedures and Data Analysis, Computational Methods for Detecting Large-Scale Structural Rearrangements in Chromosomes, Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data, Bayesian Inference of Gene Expression, Comprehensive Evaluation of Error-Correction Methodologies for Genome Sequencing Data, Plant Transcriptome Assembly: Review and Benchmarking,WeMine Aligned Pattern Clustering System for Biosequence Pattern Analysis, Rational Design of Profile Hidden Markov Models for Viral Classification and Discovery, Pattern Discovery and Disentanglement for Aligned Pattern Cluster Analysis and Protein Binding Complexes Detection.

Author(s): Nakaya Helder I., PhD.

NA Pages

Foundations of Bioinformatics and Systems Biology

The contents in this site includes the following topics : The complete course is comprised of three modules covering Foundations of Bioinformatics, Statistics in Bioinformatics, Systems Biology. These modules holds the following contents : Introduction to bioinformatics, Sequence Alignment and Database Searching, Structural Bioinformatics, Genome Informatics: High Throughput Sequencing Applications and Analytical Methods, Approaches to statistical estimation and testing, Statistical estimation and hypothesis testing, Analyses involving associations, Pearson correlation, t-test, and log odds ratios, Linear regression, Regression models, Introduction to graphical methods for multivariate data analysis, Clustering and principal component analysis, Introduction to systems biology, Epigenome data mining to understand disease predisposition, Computational clinical decision support systems, Application of systems biology to translational medicine.

Author(s): University of Michigan

NA Pages

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Introduction to Bioinformatics by Yildiz Technical University

Introduction to Bioinformatics by Yildiz Technical University

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