GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm

peer-reviewed · Lecture Notes in Computer Science · 2019

peer-reviewed · Lecture Notes in Computer Science · 2019. Samaneh Azari et al.

Date	2019-03-30
Type	peer-reviewed
Venue	Lecture Notes in Computer Science
Publisher	Springer International Publishing
Contribution	algorithm
DOI	10.1007/978-3-030-16692-2_6
Citations (OpenAlex)	8
Venue 2-year citedness	1.45

Preprint version: GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm (2019-02-03, arXiv)

Authors

1. Samaneh Azari · Victoria University of Wellington
2. Bing Xue · Victoria University of Wellington
3. Mengjie Zhang · Victoria University of Wellington
4. Lifeng Peng · Victoria University of Wellington

Methods and tools

• GA-Novo: Genetic-algorithm approach for de novo peptide sequencing from tandem mass spectra.

Cites (5)

• Novor: Real-Time Peptide de Novo Sequencing Software (2015) both
• Algorithms for the de novo sequencing of peptides from tandem mass spectra (2011) both
• PepNovo: de novo peptide sequencing via probabilistic network modeling (2005) semanticscholar
• PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry (2003) crossref
• De novo peptide sequencing via tandem mass spectrometry (1999) semanticscholar

Cited by (2)

• Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing (2024) both
• Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing (2023) crossref

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