WebPrInSeS

WebPrInSeS automates sequence verification and clone identification from high-throughput sequencing (HTS) data to validate user-defined open-reading frame (ORF) clone libraries and identify positive hits in cDNA or ORF-based library screening experiments such as yeast one- or two-hybrid assays.

Key Features:

• Automated Sequence Verification: WebPrInSeS-C automates sequence verification for user-defined ORF clone libraries using HTS data.
• Identification of Positive Hits: WebPrInSeS-E identifies positive hits in cDNA or ORF-based library screening experiments, including yeast one- or two-hybrid assays.
• De Novo Assembly: Both WebPrInSeS-C and WebPrInSeS-E perform de novo assembly of high-throughput sequencing reads.
• Integration with High-Throughput Sequencing: Accepts HTS data from any of the three major sequencing platforms for downstream verification and hit identification.

Scientific Applications:

• Genomic Research: Verification of ORF sequences to ensure accurate representation of cloned genetic material.
• Protein-Protein Interaction Studies: Identification of positive hits from yeast one- or two-hybrid assays to aid mapping of interaction networks.
• Functional Genomics: Support for cDNA library screenings to uncover gene functions and regulatory elements.

Methodology:

WebPrInSeS-C and WebPrInSeS-E perform de novo assembly of HTS reads and execute automated sequence verification and positive-hit identification workflows that accommodate data from the three major sequencing platforms.