De novo robustness to noise and missing cleavages

benchmark

De novo robustness to noise and missing cleavages: benchmark. Evaluation of how de novo sequencing algorithms degrade as spectra lose fragmentation cleavages and gain noise, run over eight published datasets with Novor and DeepNovo.

Evaluation of how de novo sequencing algorithms degrade as spectra lose fragmentation cleavages and gain noise, run over eight published datasets with Novor and DeepNovo.

Kind	benchmark
Acquisition	DDA

Papers

• The impact of noise and missing fragmentation cleavages on de novo peptide identification algorithms (2022, Computational and Structural Biotechnology Journal, peer-reviewed)

Authors (3)

Kevin McDonnell, Enda Howley, Florence Abram

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