Browse the manual

Introduction to CLC Genomics Workbench
- Contact information
- Download and installation
- System requirements
  - Limitations on maximum number of cores
- Workbench Licenses
- When the program is installed: Getting started
  - Quick start
  - Import of example data
- Plugins
  - Installing plugins
- Install
- Uninstall
  - Uninstalling plugins
  - Updating 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
- Metadata
- Working with tables
  - Filtering tables
- Customized attributes on data locations
- Local search
User preferences and settings
- General preferences
- View preferences
  - Import and export Side Panel settings
- Data preferences
- Advanced preferences
- 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
- Print preview
Import/export of data and graphics
- Standard import
- Import tracks
  - GFF3 format
- Import high-throughput sequencing data
- Import RNA spike-in controls
- Data export
- Export graphics to files
- Export graph data points to a file
- Copy/paste view output
Data download
- Download reference genome data
  - Selecting data types for download
  - Cytogenetic ideograms
- GenBank search
- Search for structures at NCBI
- UniProt (Swiss-Prot/TrEMBL) search
- SRA search
- Sequence web info
Running tools, handling results and batching
- Running tools
- Handling results
- Batch processing
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
BLAST search
- Running BLAST searches
- Output from BLAST searches
- Local BLAST databases
- Manage BLAST databases
- 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
- 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
- Assemble sequences to reference
- Sort sequences by name
- Add sequences to an existing contig
- View and edit contigs and 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
- Graphs
Read mapping
- Map Reads to Reference
- Mapping output
- Mapping reports
  - Summary mapping report
  - Detailed mapping report
- Mapping SOLid reads in color space
  - Viewing color space information
  - Mapping in color space
- Local realignment
- Merge mapping results
- Remove duplicate mapped reads
  - Algorithm details and parameters
  - Running the duplicate reads removal
- Extract consensus sequence
- Sample reads
Resequencing
- Create Statistics for Target Regions
- InDels and Structural Variants
- Coverage analysis
  - Running the Coverage analysis tool
- Variant Detectors - overview
  - Differences in the variants called by the different tools
  - How the variant detection tools work
- Fixed Ploidy Variant Detection
  - Ploidy and sensitivity
- Low Frequency Variant Detection
- Basic 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
- Variant data
- Detailed information about overlapping paired reads
- Annotate and filter variants
- Comparing variants
- Predicting functional consequences
- Identify Known Mutations from Sample Mappings
  - How to run the Identify Known Mutations from Sample Mappings tool
  - Output from the Identify Known Mutations from Sample Mappings workflow
RNA-Seq Analysis tools
- RNA-Seq analysis
- Create Combined RNA-Seq Report
- Advanced RNA-Seq Tools
- PCA for RNA-Seq
  - Principal component analysis plot (2D)
  - Principal component analysis plot (3D)
- Differential Expression for RNA-Seq
- Create Heat Map for RNA-Seq
  - Clustering of features and samples
  - The heat map view
- Create Expression Browser
  - The expression browser
- Create Venn Diagram for RNA-Seq
  - Venn diagram table view
- Gene Set Test
Microarray and Small RNA Analysis
- Small RNA analysis
- 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
Appendix
- 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

Total number of positively charged residues (ArgLys)

At neutral pH, nuclear proteins have a high relative percentage of positively charged amino acids. Nuclear proteins often bind to the negatively charged DNA, which may regulate gene expression or help to fold the DNA. Nuclear proteins often have a low percentage of aromatic residues [Andrade et al., 1998].