Bioinformatics and Proteomics

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

Computational Biology Biostatistics

The topics of notes in this site are as follows : Introduction to Bioinformatics, Sequence Alignment, Probabilistic Sequence Models , Gene Expression Analysis, Protein Structure Prediction.

Author(s): Burr Settles

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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

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Introduction to Bioinformatics Lecture

This note explains the following topics: What is bioinformatics, Molecular biology primer, Biological words, Sequence assembly, Sequence alignment, Fast sequence alignment using FASTA and BLAST, Genome rearrangements, Motif finding, Phylogenetic trees and Gene expression analysis.

Author(s): Esa Pitkanen

431 Pages

Algorithms in Bioinformatics (PDF 175p)

This note explains the relationship between biology, bioinformatics and computer science and shows the computational approaches used in bioinformatics.

Author(s): Marcel Turcotte

175 Pages

Introducing Bioinformatics Concepts in CS1

This note explains the basic bioinformatics concepts via a closed lab exercise and a programming project. Also discusses the implementation of these activities and some of the results/lessons we learned.

Author(s): Erica Eddy

9 Pages

Bioinformatics Notes

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

Author(s): NA

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Learn about Bioinformatics and Computational Tools for Biology

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

Author(s): NA

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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

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Bioinformatics An Introduction

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

Author(s): NA

NA Pages