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DeNoFo: a file format and toolkit for standardized, comparable de novo gene annotation Dohmen, Elias; Aubel, Margaux; Eicholt A, Lars; Roginski, Paul; Luria, Victor; Karger Amir; Grandchamp, Anna (2025) In: Bioinformatics, 41(10). doi:10.1093/bioinformatics/btaf539 Research article (journal) \| Peer reviewed \| Published
De Novo Gene Emergence: Summary, Classification, and Challenges of Current Methods Grandchamp, Anna; Aubel, Margaux; Eicholt, A Lars; Roginski, Paul; Luria, Victor; Karger, Amir; Dohmen, Elias (2025) In: Genome Biology and Evolution, 17(11). doi:10.1093/gbe/evaf197 Research article (journal) \| Peer reviewed \| Published
Random, de novo, and conserved proteins: how structure and disorder predictors perform differently Middendorf, Lasse; Eicholt, Lars A. (2024) In: Proteins, 92(6), 757-767. doi:10.1002/prot.26652 Research article (journal) \| Peer reviewed \| Published
Sequence, Structure, and Functional Space of Drosophila De Novo Proteins Middendorf, Lasse; Iyengar Ravi, Bharat; Eicholt, Lars A. (2024) In: Genome Biology and Evolution, 16(8), evae176. doi:10.1093/gbe/evae176 Research article (journal) \| Peer reviewed \| Published
Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning Aubel, Margaux; Eicholt, Lars; Bornberg-Bauer, Erich (2023) In: F1000Research, eCollection 2023. doi:10.12688/f1000research.130443.1 Research article (journal) \| Peer reviewed \| Published

DeNoFo: a file format and toolkit for standardized, comparable de novo gene annotation Dohmen, Elias; Aubel, Margaux; Eicholt A, Lars; Roginski, Paul; Luria, Victor; Karger Amir; Grandchamp, Anna (2025) In: Bioinformatics, 41(10). doi:10.1093/bioinformatics/btaf539 Research article (journal) \| Peer reviewed \| Published
De Novo Gene Emergence: Summary, Classification, and Challenges of Current Methods Grandchamp, Anna; Aubel, Margaux; Eicholt, A Lars; Roginski, Paul; Luria, Victor; Karger, Amir; Dohmen, Elias (2025) In: Genome Biology and Evolution, 17(11). doi:10.1093/gbe/evaf197 Research article (journal) \| Peer reviewed \| Published
Random, de novo, and conserved proteins: how structure and disorder predictors perform differently Middendorf, Lasse; Eicholt, Lars A. (2024) In: Proteins, 92(6), 757-767. doi:10.1002/prot.26652 Research article (journal) \| Peer reviewed \| Published
Sequence, Structure, and Functional Space of Drosophila De Novo Proteins Middendorf, Lasse; Iyengar Ravi, Bharat; Eicholt, Lars A. (2024) In: Genome Biology and Evolution, 16(8), evae176. doi:10.1093/gbe/evae176 Research article (journal) \| Peer reviewed \| Published
Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning Aubel, Margaux; Eicholt, Lars; Bornberg-Bauer, Erich (2023) In: F1000Research, eCollection 2023. doi:10.12688/f1000research.130443.1 Research article (journal) \| Peer reviewed \| Published