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Introduction to CLC Genomics Workbench
- Contact information
- System requirements
  - Limitations on maximum number of cores
- Workbench Licenses
- About CLC Workbenches
- When the program is installed: Getting started
  - Quick start
  - Import of example data
- Plugins
- Network configuration
- Latest improvements
User interface
- View Area
- Zoom and selection in View Area
- Toolbox and Status Bar
- Workspace
- List of shortcuts
Data management and search
- Navigation Area
- Customized attributes on data locations
- Filling in values
  - What happens when a clc object is copied to another data location?
  - Searching
- Local search
User preferences and settings
- General preferences
- Default view preferences
  - Number formatting in tables
  - Import and export Side Panel settings
- Data preferences
- Advanced preferences
  - Default data location
  - NCBI BLAST
- Export/import of preferences
  - The different options for export and import
- View settings for the Side Panel
  - Saving, removing and applying saved settings
Printing
- Selecting which part of the view to print
- Page setup
  - Header and footer
- Print preview
Import/export of data and graphics
- Standard import
- Import tracks
- Import high-throughput sequencing data
- Data export
- Export graphics to files
- Export graph data points to a file
- Copy/paste view output
History log
- Element history
  - Sharing data with history
Batching and result handling
- Batch processing
- How to handle results of analyses
  - Table outputs
  - Batch log
- Working with tables
  - Filtering tables
Workflows
- Creating a workflow
- Distributing and installing workflows
- Executing a workflow
- Open copy of installed workflow
Viewing and editing sequences
- View sequence
- Circular DNA
  - Using split views to see details of the circular molecule
  - Mark molecule as circular and specify starting point
- Working with annotations
- Element information
- View as text
- Sequence Lists
Data download
- GenBank search
- UniProt (Swiss-Prot/TrEMBL) search
- Search for structures at NCBI
- Download reference genome data
  - Selecting data types for download
  - Cytogenetic ideograms
- Sequence web info
BLAST search
- Running BLAST searches
- Output from BLAST searches
- Local BLAST databases
- Manage BLAST databases
  - Migrating from a previous version of the Workbench
- Bioinformatics explained: BLAST
3D Molecule Viewer
- Importing molecule structure files
- Viewing molecular structures in 3D
- Customizing the visualization
  - Visualization styles and colors
  - Project settings
- Snapshots of the molecule visualization
- Tools for linking sequence and structure
- Protein structure alignment
General sequence analyses
- Extract Annotations
- Extract sequences
- Shuffle sequence
- Dot plots
  - Create dot plots
  - View dot plots
- Bioinformatics explained: Dot plots
  - Realization of dot plots
  - Examples and interpretations of dot plots
- Bioinformatics explained: Scoring matrices
  - Different scoring matrices
  - Use of scoring matrices
- Local complexity plot
- Sequence statistics
  - Bioinformatics explained: Protein statistics
- Join sequences
- Pattern discovery
  - Pattern discovery search parameters
  - Pattern search output
- Motif Search
- Create motif list
Nucleotide analyses
- Convert DNA to RNA
- Convert RNA to DNA
- Reverse complements of sequences
- Reverse sequence
- Translation of DNA or RNA to protein
  - Translate part of a nucleotide sequence
- Find open reading frames
  - Open reading frame parameters
Protein analyses
- Signal peptide prediction
  - Signal peptide prediction parameter settings
  - Signal peptide prediction output
- Bioinformatics explained: Prediction of signal peptides
- Protein charge
  - Modifying the layout
- Transmembrane helix prediction
- Antigenicity
  - Plot of antigenicity
  - Antigenicity graphs along sequence
- Hydrophobicity
  - Hydrophobicity plot
  - Hydrophobicity graphs along sequence
- Bioinformatics explained: Protein hydrophobicity
  - Hydrophobicity scales
- Pfam domain search
  - Download of Pfam database
  - Running Pfam Domain Search
- Secondary structure prediction
- Protein report
  - Protein report output
- Reverse translation from protein into DNA
  - Reverse translation parameters
- Bioinformatics explained: Reverse translation
  - The Genetic Code
  - Solving the ambiguities of reverse translation
- Proteolytic cleavage detection
  - Proteolytic cleavage parameters
- Bioinformatics explained: Proteolytic cleavage
Primers
- Primer design - an introduction
  - General concept
  - Scoring primers
- Setting parameters for primers and probes
  - Primer Parameters
- Graphical display of primer information
  - Compact information mode
  - Detailed information mode
- Output from primer design
- Standard PCR
  - User input
  - Standard PCR output table
- Nested PCR
  - Nested PCR output table
- TaqMan
  - TaqMan output table
- Sequencing primers
  - Sequencing primers output table
- Alignment-based primer and probe design
- Analyze primer properties
- Find binding sites and create fragments
  - Binding parameters
  - Results - binding sites and fragments
- Order primers
Sequencing data analyses
- Importing and viewing trace data
  - Scaling traces
  - Trace settings in the Side Panel
- Trim sequences
  - Trimming using the Trim tool
  - Manual trimming
- Assemble sequences
- Sort sequences by name
- Assemble sequences to reference
- Add sequences to an existing contig
- View and edit read mappings
- Reassemble contig
- Secondary peak calling
Cloning and cutting
- Molecular cloning
- Gateway cloning
- Restriction site analysis
  - Dynamic restriction sites
  - Restriction site analysis from the Toolbox
- Gel electrophoresis
- Restriction enzyme lists
  - Create enzyme list
  - View and modify enzyme list
Sequence alignment
- Create an alignment
- View alignments
- Bioinformatics explained: Sequence logo
  - Calculation of sequence logos
- Edit alignments
- Join alignments
  - How alignments are joined
- Pairwise comparison
- Bioinformatics explained: Multiple alignments
  - Use of multiple alignments
  - Constructing multiple alignments
Phylogenetic trees
- Phylogenetic tree features
- Create Trees
- Tree Settings
- Metadata and phylogenetic trees
RNA structure
- RNA secondary structure prediction
- View and edit secondary structures
- Evaluate structure hypothesis
  - Selecting sequences for evaluation
  - Probabilities
- Structure scanning plot
  - Selecting sequences for scanning
  - The structure scanning result
- Bioinformatics explained: RNA structure prediction by minimum free energy minimization
  - The algorithm
  - Structure elements and their energy contribution
Trimming, multiplexing and sequencing quality control
- Trim Sequences
- Demultiplex reads
- Sequencing data quality control
- Merge overlapping pairs
  - Using quality scores when merging
  - Report of merged pairs
Tracks
- Track lists
- Retrieving reference data tracks
- Merging tracks
- Converting data to tracks and back
  - Convert to tracks
  - Convert from tracks
- Annotate and filter tracks
- Creating graph tracks
Read mapping
- Map Reads to Reference
- Mapping output options
- Mapping reports
  - Detailed mapping report
  - Summary mapping report
- Color space
- Mapping result
- Local realignment
- Merge mapping results
- Extract consensus sequence
- Coverage analysis
  - Running the Coverage analysis tool
Sample reads
- What is Sample Reads?
- How to run Sample Reads
Resequencing
- Create Statistics for Target Regions
- Variant Detectors - overview
  - Differences among the variants called by the three variant callers
  - How the variant detectors work
- Basic Variant Detection
- Fixed Ploidy Variant Detection
  - Ploidy and sensitivity
- Low Frequency Variant Detection
- Variant Detectors - error model estimation
- Variant Detectors - filters
  - General filters
  - Noise filters
- Variant Detectors - the outputs
- The Fixed Ploidy and Low Frequency variant callers: detailed descriptions
  - The Fixed Ploidy Variant caller: Models and methods
  - The Low Frequency Variant caller: Models and methods
- InDels and Structural Variants
- Variant data
- Detailed information about overlapping paired reads
- Annotate and filter variants
- Comparing variants
- Predicting functional consequences
Transcriptomics
- RNA-Seq analysis
- Small RNA analysis
- Expression profiling by tags
- Experimental design
- Working with tracks and experiments
- Transformation and normalization
- Quality control
- Statistical analysis - identifying differential expression
- Feature clustering
  - Hierarchical clustering of features
  - K-means/medoids clustering
- Annotation tests
  - Hypergeometric tests on annotations
  - Gene set enrichment analysis
- General plots
De novo sequencing
- De novo assembly
- Map reads to contigs
Epigenomics
- ChIP-Seq Analysis
- Annotate with nearby gene information
Legacy tools
- Quality-based variant detection
- Probabilistic variant detection
- ChIP-Seq Analysis (legacy)
Appendix
- Comparison of workbenches
- Use of multi-core computers
- Graph preferences
- BLAST databases
- Proteolytic cleavage enzymes
- Restriction enzymes database configuration
- Technical information about modifying Gateway cloning sites
- IUPAC codes for amino acids
- IUPAC codes for nucleotides
- Formats for import and export
  - List of bioinformatic data formats
  - List of graphics data formats
- SAM/BAM export format specification
  - Flags
- Gene expression annotation files and microarray data formats
- Translation Tables
- Custom codon frequency tables
- Comparison of track comparison tools
- Matrices for alignment calculation
Bibliography

Quality analysis

The quality analysis examines quality scores reported from technology-dependent base callers. Please note that the NGS import tools of the CLC Genomics Workbench and CLC Genomics Server convert quality scores to PHRED-scale, regardless of the data source. The following quality distributions are reported:

per-sequence quality distribution: Calculates amounts of sequences that feature individual PHRED-scores in 64 bins from 0 to 63. The quality score of a sequence as calculated as arithmetic mean of its base qualities.
per-base quality distribution: Calculates amounts of bases that feature individual PHRED-scores in 64 bins from 0 to 63. This results in a three-dimensional table, where dimension 1 refers to the base-position, dimension 2 refers to the quality-score and dimension 3 to amounts of bases observed at that position with that quality score.