PolyAlign: A Versatile LC-MS Data Alignment Tool for Landmark-Selected and -Automated Use.

Area of Science:

• Analytical Chemistry
• Biotechnology
• Computational Biology

Background:

• Accurate alignment of multiple LC-MS signal maps is crucial for comparative proteomic and metabolomic analyses.
• Existing software may have limitations in handling complex datasets and achieving precise peak alignment.

Purpose of the Study:

• To introduce PolyAlign, a versatile and user-friendly software tool for the alignment of multiple LC-MS signal maps.
• To provide options for both manual landmark setting and automated alignment to enhance data processing flexibility.

Main Methods:

• The software utilizes polynomial or Hermite transformations for image warping after manual or automated landmark identification.
• A synchronized fast zoom-in function facilitates the detection of correspondences between adjacent images.
• Interactive visual feedback allows analysts to assess and correct alignment irregularities.

Main Results:

• PolyAlign demonstrates significant improvements in aligning LC-MALDI data using 10-15 landmark pairs.
• The software effectively corrects electrospray LC-MS data, showing substantial peak alignment improvements compared to MZmine.
• Practical data analysis shows enhanced accuracy and reliability in peak alignment.

Conclusions:

• PolyAlign offers a robust and efficient solution for LC-MS signal map alignment.
• Its user-friendly interface and advanced features make it a valuable tool for researchers in various life science fields.
• The software's integration with MZmine and standalone availability enhance its accessibility and utility.