Resources

Proteomics Databases



Metabolomics Databases

• • Difference Between Re-Sequencing and De Novo Genome Assembly: How to Choose the Right Workflow for a New Genome Project

  Technical guide for Difference Between Re-Sequencing and De Novo Genome Assembly: How to Choose the Right Workflow for a New Genome Project.

• • De Novo Sequencing of Monoclonal Antibodies: Planning a Sequence Confirmation Strategy for Therapeutic mAbs

  Technical guide for De Novo Sequencing of Monoclonal Antibodies: Planning a Sequence Confirmation Strategy for Therapeutic mAbs.

• • How to Evaluate De Novo Peptide Sequencing Software Before Choosing In-House Analysis or External Interpretation Support

  Technical guide for How to Evaluate De Novo Peptide Sequencing Software Before Choosing In-House Analysis or External Interpretation Support.

• • De Novo Sequencing vs Database Search: Which Workflow Fits Novel Peptides, PTMs, and Low-Reference Discovery Projects?

  Technical guide for De Novo Sequencing vs Database Search: Which Workflow Fits Novel Peptides, PTMs, and Low-Reference Discovery Projects?.

• • De Novo Sequencing Methods in Proteomics: Where MS-Based Approaches Add the Most Value

  Technical guide for De Novo Sequencing Methods in Proteomics: Where MS-Based Approaches Add the Most Value.

• • De Novo Sequencing vs Resequencing: Which Strategy Is Better for Novel Sequence Discovery Projects?

  Technical guide for De Novo Sequencing vs Resequencing: Which Strategy Is Better for Novel Sequence Discovery Projects?.

• • How to Optimize PhIP-Seq Immunoprecipitation Efficiency?

  Introduction Low immunoprecipitation efficiency is one of the most common reasons a PhIP-Seq experiment produces weak, noisy, or difficult-to-interpret results. A serum sample may contain meaningful antibodies, but the final sequencing data can still show poor peptide enrichment when antibody binding, bead capture, washing, or library representation is not controlled. In autoimmune disease, infectious disease serology, vaccine response, or biomarker discovery, this can turn a promising sample set into......

• • Protein Sequencing: How It Works and When Researchers Should Use It

  Protein sequencing is the process of determining amino acid sequence information from a protein or peptide sample. Depending on the question, the workflow may confirm a known sequence, recover unknown regions, identify N-terminal or C-terminal residues, measure peptide coverage, or assemble sequence evidence from LC-MS/MS data.

• • PhIP-Seq vs Protein Microarrays for Antibody Profiling

  PhIP-Seq and protein microarrays are both used for antibody profiling, but they are not interchangeable. PhIP-Seq uses a phage display peptide library and sequencing readout to identify enriched peptide targets. Protein microarrays immobilize proteins, protein fragments, or antigens on a surface and detect antibody binding by signal intensity.

• • How PhIP-Seq Works for Antibody Repertoire Profiling

  PhIP-Seq antibody repertoire profiling links antibody binding with next-generation sequencing. Antibody-containing samples are exposed to a phage display peptide library. Antibodies pull down phage clones that display recognized peptides, and sequencing reads identify which peptides were enriched.