Author

Lydie Lane

University of GenevaORCID 0000-0002-9818-3030Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Eric W. DeutschiD· 2 shared Andrew CollinsiD· 1 shared Charles PineauiD· 1 shared Christopher M. OveralliD· 1 shared Emanuele AlpiiD· 1 shared Eugene A. KappiD· 1 shared Fernando José CorralesiD· 1 shared Francisco J. Guzmán‐VegaiD· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Eric W. DeutschORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 26, 2023

DeepGO-SE: Protein function prediction as Approximate Semantic Entailment

Maxat Kulmanov, Francisco J. Guzmán‐Vega, Paula D Duek…·Robert Hoehndorf

DeepGO-SE improves protein function prediction for distantly related proteins by using a pretrained large language model and a neuro-symbolic model that leverages GO axioms.

8 citations

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsJournal of Proteome ResearchPeer-reviewedOct 10, 2019

Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0

Eric W. Deutsch, Lydie Lane, Christopher M. Overall…·Gilbert S. Omenn

The paper updates the HPP MS Data Interpretation Guidelines to improve accuracy and address new workflows and data standards.

122 citationstop 2%

humanproteomics

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BioinformaticsJournal of Proteome ResearchPeer-reviewedMay 13, 2019

Proteomics Standards Initiative Extended FASTA Format (PEFF)

Pierre‐Alain Binz, Jim Shofstahl, Juan Antonio Vizcaíno…·Eric W. Deutsch

The paper introduces PEFF, a new format for proteomics data that enhances FASTA with metadata for sequence variants and PTMs, enabling better analysis in proteogenomics and top-down proteomics.

34 citations

proteomicsdatabase / resource

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