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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
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
Micorarray Methodology and Analysis
This site hold 9 lectures on various topics related to Micorarray Methodology and Analysis such as Introduction to microarray technology, Image Processing for Pedestrians, Differential Expression, Microarray Normalization, Clustering and Classification, etc.
Author(s): M. Saleet Jafri, Program in Bioinformatics and Computational Biology, George Mason University
NA Pages
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 82p)
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA 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
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
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
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
