Book Club System: How It Works & How You Win – Bio Informatics Gate

Course Content

Before You Start: Book Club Orientation

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Book Club System: How It Works & How You Win

bioinformatics

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chapter 1.

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1 1 General Procedure for Genome Sequencing

1 2 Choosing a Sequencing Strategy

3 1 First Generation Technologies

3 2 TheBirthofNext Generation SequencingNGS

3 3 Second Generation Sequencing

3 3 2 The Illumina Solexa Genome Analyzer

3 3 3 Applied Biosystems SOLiD Sequencer

3 3 4 Polonator

3 3 5 Shortcomings of Second Generation DNA

3 4 Third Generation Sequencing

3 4 2 DNA Nanoball Sequencing

3 4 3 Pacific Bioscience RS SMRT Sequencing

3 4 4 Nanopore Sequencing

4 Applications of Sequencing

5 Future Aspects

Chapter 2

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3. 2 Using PCAP

END OF Ch 2 Sequence Assembly3 3 Troubleshooting

Chapter 3

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1 .1 Introduction Protein Crystallization

1. 2 Crystal Preparation and Data Collection

1. 3 Structure Determination

1 .4 Structure Refinement

2 Materials 2 1 Crystallization and Crystal Preparation

3 Methods 3 1 Crystallization and Crystal Preparation

3 .2 Data Measurement

3. 3 Data Processing 3 3 1 HKL2000

3. 4 Molecular Replacement

3 .5 The SRA Run

3. 6 Model Building

Chapter 4

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1 Structure and History of Sequence Databases at NCBI

1. 3 Bioproject

1. 7 Metagenomes and Environmental Sample Sequencing

1 .8 The GenBank Sequence Record

1 .9 Updates and Maintenance of the Database

1. 10 Pitfalls of an Archival Primary

2 Submission of Sequence Data to NCBI Archives

2. 1 SRA Submissions

2. 2 GenBank Submissions

3 Finding Sequence Data in SRA and GenBank

3 .5 The SRA Run Selector

3. 6 BioProject Browsing Linking

3. 7 BioProject Query

3. 8 BioProject Linking

4 Downloading the Sequence Data in SRA

Chapter 5

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2. 1. 2 Epigenetic Modifications and Chromati

2. 1. 3 Evolutionary Conservation and Variation

2 1 4 Collaboration Genome Annotation

2. 2 Technical Frameworks to Use Genome

2. 2. 2 Genome Browsers

2. 2. 3 Further Use of Genome Annotation

3 Methods 3 1 Scenario I Search

3 .2 Scenario II Make and Browse Your Own

Chapter 6

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1 .1 Theoretical Background

1 .2 Applications

2 .1 Finding and Accessing Ontologies

2. 2 Encoding Ontologies

2. 3 Editing Ontologies

3. 2 Biological Pathway Exchange Ontology

.Chapter 7

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1. Introduction

2 What is a Protein Domain

3 Classification of Domains from Sequence

3 1 Automatic Domain Sequence Clustering

3. 2 Whole Chain

3 .3 Families Represented by Multiple Sequence Alignments

3. 4 Domain Sequence Classifications

3. 5 Protein Sequence Classification

4 Classification of Domains from Structure

4 .1 Identification of Domain Boundaries at the Structural Level

4. 2 Methods for Structural Comparison

4 .3 Domain Structure Classification Hierarchies

4 .4 Structural Domain Classifications

4 .5 Multiple Structural Alignments of Protein Domains

4 .6 Consistency of Structure Domain Databases

5 Domain Family Annotation of Genomes

.Chapter 8

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1. 2 Reliability and Evolutionary Hypothesis

1 .3 Dynamic Programming

1. 4 The Progressive Alignment Protocol

1. 5 Alignment Iteration

2 .2 Unequal Sequence Lengths

2. 3 Type of Alignment

3. 5 ProbCons Multiple Sequence Alignment 3

3. 8 Clustal Omega

.Chapter 9

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1 Introduction 1. 1 Homology, Similarity, and Identity

1. 2 Substitutions and Indels

2. 2 Pairwise Alignment and Scoring Matrices

2. 3 GlobalandLocal Alignment

3. 3 Methods and Tools for Large Scale Sequence Comparison

.Chapter 10

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2 Reference Genomes and Genes 2

2. 2 Reference Gene Sets

3 Genomic Databases, and Approaches

4 Genomic Databases, and Genome Browser Based Searches

4. 2 Ensembl 4 2

4. 2 Ensembl 4 2

4. 4 University of California Santa Cruz UCSC Genome Browser

4 .5 NCBI Genome, Map Viewer and Gene

4. 6 Viral Genomes

4. 7 Stand Alone Genome Browsers

5 Genomic Database Searching with RNA Identifiers

6 Genome Searching Using Karyotype Bands

7 Genome Searching Using Chromosomal Coordinates

8 Sequence, Motif and Matrix Based Genome Searching

9 Performing Multiple Genomic Database Searches

9 2 Creating an Annotated ID Table

9. 3 Batch Retrieval of Sequences from Multiple Genomic Coordinates

10 Genomic Database Searching Using NGS Data

11 Complex Searches of Genomic Databases

11. 3 NCBI Genome Workbench

12 Genome Searching Using Application Programming Interfa

12. 1 Bio toolkits

12. 3 The UCSC Genome Browser

12 4 NCBI Genome Resources

12. 5 Bioconductor

13. Conclusions and Perspectives

Chapter 11

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2. 2 Gene Finding in Environmental Sequence Samples

2. 3 Gene Finding in Eukaryotes

Chapter 12

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2 Change Point Analysis 2

2. 2 The Bayesian Segmentation and Classification Model BSCM A Model for changept

2 .3 MCMC Simulation

3 Changept Application The GUI and a Worked Example

3. 1 The Input Sequences

3. 2 Running changept Using the changeptGUI

3 .3 Model Selection

3. 4 The Segmentation Map

Chapter 13

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2 Expected Signatures of Natural Selection

3. Three Steps to dN dS

3. 1 Step 1 Counting Synonymous S and Non synonymous N Sites

3 .2 Step 2 Counting Synonymous S and Non synonymous N Differences

4 Moving Away from the Naive Model

4. 2 The Importance of the Transition

4 .3 Codon Frequency Model

4 .4 Amount of Divergence

5 Model Selection

6 Assumptions to Keep in Mind

7 Final Remarks

Chapter 14

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2 BeforeTreeInference

2. 1 Assumptions About the Sequence Data

2 .2 The Tree Assumption

2. 3 Model Assumptions

3 Scoring Trees

3 .2 Why Estimating Trees Is Difficult

4 Inferring Trees Using Maximum Likelihood

4 .1 Proposing an Initial Tree

4. 2 Refining the Tree Estimate

4. 3 Stopping Criteria Inferring Trees

4 .4 Resampling from Tree Space

4 5 Other Approaches to Point Estimation

4. 6 Choosing a Model and Partitioning Data

5. 1 Measures of General Branch Support and Bootstrapping

5. 2 Confidence Sets of Trees The SH and AU Test

5. 3 Other Tests of Tree Topologies

6 Bayesian Inference

6. 1 Bayesian Estimation of Trees

6. 2 Sampling the Posterior Using

6 .3 How Long to Run a Markov Chain Monte Carlo

6 .4 The Specification of Priors

7 Strengths and Weaknesses of Statistical Methods

Chapter 15

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Identifying Optimal Models of Evolution Abstra

2 Underlying Principles

2 1 The Phylogenetic Assumptions

2 .3 Modeling the Evolutionary

3 Choosing a Substitution Model

3 .3 Testing the Stationary, Reversible, and Homogeneous Condition

3. 4 Testing the Assumption of Independent and Identical Processes

3 5 ChoosingaTime reversible Substitution Model

3. 6 General Approaches to Model

Chapter 16

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Scaling Up the Phylogenetic Detection of Lateral

2 Systems, Software, and Databases 2

3. 2 Multiple Sequence Alignment

3 .4 Reference Topology

3 .5 Inference of Lateral Transfer Events via Topological Comparisons of Trees

Chapter 17

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2 Program Usage 2

2 .2 Program Settings

2. 3 Producing a Preliminary Recombination Hypothesis

2. 4 Making a Recombination Free Dataset

2. 5 Navigating Through the Analysis Results

2. 6 Checking the Accuracy of Breakpoint Identification

2. 7 Checking the Accuracy of Recombinant Sequence Identification

2 .8 Evaluating How Well Recombination Signals Have Been Grouped into Recombination Events

2 .9 Accepting a Verified Recombination Event

2 .10 Saving Analysis Results

3. 2 Navigating Through the Results

3 .3 Checking the Accuracy of Breakpoint Identification

3 .4 Checking the Accuracy of Recombinant Sequence Identification

3. 5 Evaluating RDP4’s Grouping of Recombination Event

3. 6 Completing the Analysis

3. 7 Further Analyses

Chapter 18

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1 Estimation of Species Trees

2 Bayesian Inference of Species Trees

3 The Software guenomu

3 .1 Guenomu Programs

5 Running guenomu 1

5 .1 Optimization by Simulated Annealing 2

THE END ….(Species Tree Estimation from Genome Wide Data )

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