Author

Nagarjuna Nagaraj

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:benchmarking· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Approach:statistical model· 1 Assay:structural biology· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Jürgen CoxiD· 2 shared Albert J. R. HeckiD· 1 shared Alex ZelteriD· 1 shared Alexander LeitneriD· 1 shared Andrea SinziD· 1 shared Bruno C. AmaraliD· 1 shared Carla Schmidt· 1 shared Caroline Haupt· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Jürgen CoxORCID

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2 papers

Recent·Most cited

Accurate and automated high-coverage identification of chemically cross-linked peptides with MaxLynx

Şule Yılmaz, Florian Büsch, Nagarjuna Nagaraj, Jürgen Cox

MaxLynx improves XL-MS analysis by automating cross-linked peptide identification with enhanced scoring and filtering, outperforming existing tools on synthetic and proteome-wide datasets.

Analytical Chemistry · Jan 11, 2022Peer-reviewedBioinformatics

Cross-linking/Mass Spectrometry: A Community-Wide, Comparative Study Towards Establishing Best Practice Guidelines

Claudio Iacobucci, Christine Piotrowski, Ruedi Aebersold, Bruno C. Amaral, Philip Andrews, Christoph Borchers, Nicolas I. Brodie, James E. Bruce, Stéphane Chaignepain, Juan D. Chavez, Stéphane Claverol, Jürgen Cox, Gianluca Degliesposti, Meng-Qiu Dong, Nufar Edinger, , Andrea Sinz

This paper summarizes current XL-MS practices, compares strategies, and proposes common protocols to establish best practice guidelines for accurate and reproducible results.

bioRxiv · Sep 26, 2018 · PreprintBiochemistry