Bioinformatics Notes

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

Bioanalytical Techniques and Bioinformatics

This note explains the following topics: Modern approaches in Bioanalysis and Bioassays, Spectroscopic techniques: UV-Visible spectroscopy, Fluorescence spectroscopy, IR spectroscopy, CD spectroscopy, and Mass spectroscopy, Light Microscopy; Fluorescence microscopy, Atomic force microscope, Electron microscope, Scanning electron microscopy, Transmission Electron microsope, Application of microscope in analyzing biological samples.

Author(s): NPTEL

NA Pages

Bioinformatics II Theoretical Bioinformatics and Machine Learning (PDF 394)

This book covers the following topics: Machine Learning in Bioinformatics, Theoretical Background of Machine Learning, Support Vector Machines, Error Minimization and Model Selection, Neural Networks, Bayes Techniques, Feature Selection, Hidden Markov Models.

Author(s): Sepp Hochreiter

400 Pages

Online Lectures on Bioinformatics

Currently this section contains no detailed description for the page, will update this page soon.

Author(s): NA

NA Pages

Bioinformatics Notes

Currently this section contains no detailed description for the page, will update this page soon.

Author(s): NA

NA Pages

Algorithms in Bioinformatics (PDF 87P)

Currently this section contains no detailed description for the page, will update this page soon.

Author(s): NA

NA Pages

NCBI Handbook

Currently this section contains no detailed description for the page, will update this page soon.

Author(s): NA

NA Pages

Bioinformatics, Sequence and Structural Alignment

Currently this section contains no detailed description for the page, will update this page soon.

Author(s): NA

NA Pages

MATHEMATICS and BIOLOGY THE INTERFACE CHALLENGES and OPPORTUNITIES

Currently this section contains no detailed description for the page, will update this page soon.

Author(s): NA

NA Pages