AeroBiology Agriculture BioTechnology Parasitology BioMechanics Plant Biology Structural Biology AstroBiology BioEngineering Botany Virology Mycology Evolutionary Biology Soil Biology BioInformatics BioGeography Cell Biology Plant Pathology BioMedical Research Ornithology Developmental Biology Zoology Entomology Molecular Biology Mammalogy Bacteriology Cytology Ecology
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
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
This note provides a hands-on approach to students in the topics of bioinformatics and proteomics. Topics covered includes: sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications.
Author(s): Prof. Gil Alterovitz, Prof. Manolis Kellis and Prof. Marco Ramoni
NA 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
Online Lectures on Bioinformatics
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
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
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
Bioinformatics An Introduction
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA PagesAdvertisement
