Author

E. Krismer

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

Biology Disciplines

Click to filter author papers

Biochemistry· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:proteomics· 2 Research Focus:software / tool· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

A.-K. Pedersen· 1 shared B. C. Searle· 1 shared E. M. Schoof· 1 shared J. V. Olsen· 1 shared M. Mann· 1 shared M. Pietzner· 1 shared M. T. Strauss· 1 shared T. Phlairaharn· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBiochemistry

A.-K. Pedersen

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

AlphaPeptStats: an open-source Python package for automated, scalable and industrial-strength statistical analysis of mass spectrometry-based proteomics

E. Krismer, M. T. Strauss, M. Mann

AlphaPeptStats provides a Python package for scalable statistical analysis of proteomics data, offering tools for normalization, visualization, and automated statistical tests.

bioRxiv · Mar 10, 2023 · PreprintBiochemistry

Optimizing linear ion trap data independent acquisition towards single cell proteomics

T. Phlairaharn, Z. Ye, E. Krismer, A.-K. Pedersen, M. Pietzner, J. V. Olsen, E. M. Schoof, B. C. Searle

This study optimizes linear ion trap data independent acquisition for single-cell proteomics, showing quantitative accuracy down to 0.5 ng on column using LIT-based libraries from as few as 40 cells.

bioRxiv · Feb 21, 2023Biochemistry