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Bioinformatics Sequence Analysis and Phylogenetics Lecture Notes (PDF 190P)
This book covers the following topics: biological basics needed in bioinformatics, Pairwise Alignment, Multiple Alignment, Phylogenetics, DNA, RNA, Transcription, Introns, Exons, and Splicing, Amino Acids.
Author(s): Sepp Hochreiter
180 Pages 
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
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
A Bioinformatics Study of Human Transcriptional Regulation
This PDF thesis A Bioinformatics Study of Human Transcriptional Regulation covers the following topics related to Bioinformatics : Biological background, DNA and chromosomes, Transcription, Transcriptional regulation, Medical aspects of transcriptional regulation, High-throughput technologies, DNA microarrays, Massively parallel sequencing, Biological knowledge sources, Annotations, Experimental data, Aims, Methods, Computational methods, Statistics Randomization, Local search, Analysis of high-throughput data, Experiment design, Expression analysis, ChIP-chip data analysis, ChIP-seq data analysis, Data storage and management, Results and discussion, Summary of results, Computational results, Biological results, Medical results, Additional results, Discussion.
Author(s): Adam Ameur
54 Pages
This book is intended to serve both as a textbook for short bioinformatics courses and as a base for a self teaching endeavor. It is divided in two parts: A. Bioinformatics Techniques and B. Case Studies. Each chapter of the first part addresses a specific problem in bioinformatics and consists of a theoretical part and of a detailed tutorial with practical applications of that theory using software freely available on the Internet.
Author(s): Chanchal Kumar
197 Pages
Algorithms in Bioinformatics (PDF 82p)
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA Pages
This note describes the computational challenges in structural biology and explains the computational methods for analysing and predicting macromolecular conformations and interactions and gives practice in programming techniques for structural bioinformatics.
Author(s): Graham Kemp and Per-Georg Nyholm
NA 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, Sequence and Structural Alignment
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA Pages
Introduction to Programming for Bioinformatics in Python
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA PagesAdvertisement
