Elias Dohmen
@drdomain.bsky.social
Bioinformatician & Evolutionary Biologist
https://edohmen.github.io/
Protein Domains, De novo genes, Insects, Python, Machine Learning, ...
https://edohmen.github.io/
Protein Domains, De novo genes, Insects, Python, Machine Learning, ...
🧩 Thrilled to share our new paper in @genomebiolevol.bsky.social !
We present a comprehensive review of de novo gene emergence — providing a classification of current detection methods and a roadmap for addressing major challenges in the field of gene birth from non-genic sequences.
We present a comprehensive review of de novo gene emergence — providing a classification of current detection methods and a roadmap for addressing major challenges in the field of gene birth from non-genic sequences.
November 12, 2025 at 3:42 PM
🧩 Thrilled to share our new paper in @genomebiolevol.bsky.social !
We present a comprehensive review of de novo gene emergence — providing a classification of current detection methods and a roadmap for addressing major challenges in the field of gene birth from non-genic sequences.
We present a comprehensive review of de novo gene emergence — providing a classification of current detection methods and a roadmap for addressing major challenges in the field of gene birth from non-genic sequences.
🚀We’re excited to share our new paper in Bioinformatics!
We introduce a user-friendly toolkit that implements our novel DeNoFo file-format for standardised annotation of de novo gene detection workflows — enabling reproducible methodology descriptions and easier dataset comparison across studies.
We introduce a user-friendly toolkit that implements our novel DeNoFo file-format for standardised annotation of de novo gene detection workflows — enabling reproducible methodology descriptions and easier dataset comparison across studies.
November 12, 2025 at 12:41 PM
🚀We’re excited to share our new paper in Bioinformatics!
We introduce a user-friendly toolkit that implements our novel DeNoFo file-format for standardised annotation of de novo gene detection workflows — enabling reproducible methodology descriptions and easier dataset comparison across studies.
We introduce a user-friendly toolkit that implements our novel DeNoFo file-format for standardised annotation of de novo gene detection workflows — enabling reproducible methodology descriptions and easier dataset comparison across studies.