E-TALEN

E-TALEN designs and predicts specificity of transcription activator-like effector nucleases (TALENs) for targeted genome engineering by incorporating genomic context and organism-specific sequence and annotation data.

Key Features:

• End-to-End Design Process: Designs de novo TALEN pairs specific to input sequences or genomic loci.
• Scalability and Versatility: Supports design for single targets and large-scale projects involving numerous target genes.
• Genomic Context Consideration: Incorporates genomic context into design algorithms to improve targeting precision and reduce off-target effects.
• Targeting and Specificity Prediction: Predicts targeting accuracy and specificity of existing or newly designed TALENs.
• Fast and Accurate Algorithms: Employs computational algorithms optimized for speed and accuracy in TALEN design.
• In-Built Sequence and Annotation Database: Includes sequences and annotations for organisms including humans, mice, zebrafish, Drosophila, and Arabidopsis.

Scientific Applications:

• Knockout Mutagenesis: Facilitates design of TALENs to introduce knockout mutations for functional genomics studies.
• Endogenous Protein Tagging: Enables design of TALENs for precise tagging of proteins within their native genomic context.
• Targeted Excision Repair: Supports design of TALENs for targeted DNA excision and repair applications relevant to genetic disease research.

Methodology:

Employs fast, accuracy-oriented computational algorithms that incorporate genomic context to design de novo TALEN pairs and to predict targeting accuracy and specificity using an internal sequence and annotation database covering multiple organisms.