E-LIB Suche - Ergebnisse für: Alexander Karollus

1

Viral genome sequencing to decipher in-hospital SARS-CoV-2 ..:

Esser, Elisabeth ; Schulte, Eva C. ; Graf, Alexander...
Scientific Reports. 14 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

2

Species-aware DNA language models capture regulatory elemen..:

Karollus, Alexander ; Hingerl, Johannes ; Gankin, Dennis...
Genome Biology. 25 (2024) 1 - p. , 2024

Link: https://doi.org/10.1186/..

3

The adapted Activity-By-Contact model for enhancer–gene ass..:

Hecker, Dennis ; Behjati Ardakani, Fatemeh ; Karollus, Alexander...
Bioinformatics. 39 (2023) 2 - p. , 2023

Link: https://doi.org/10.1093/..

4

Current sequence-based models capture gene expression deter..:

Karollus, Alexander ; Mauermeier, Thomas ; Gagneur, Julien
Genome Biology. 24 (2023) 1 - p. , 2023

Link: https://doi.org/10.1186/..

5

Predicting mean ribosome load for 5'UTR of any length using..:

Karollus, Alexander ; Avsec, Žiga ; Gagneur, Julien.
PLOS Computational Biology. 17 (2021) 5 - p. e1008982 , 2021

Link: https://doi.org/10.1371/..

6

Current sequence-based models capture gene expression deter..:

Alexander Karollus ; Thomas Mauermeier ; Julien Gagneur
https://doi.org/10.1186/s13059-023-02899-9. , 2023

Link: https://doi.org/10.1186/..

7

Code for the paper "Current sequence-based models capture g..:

Alexander Karollus ; Thomas Mauermeier ; Julien Gagneur
doi:10.5281/zenodo.7613254. , 2023

Link: https://zenodo.org/recor..

8

Supporting Data for Species-Aware DNA Language Models:

Alexander Karollus ; Johannes Hingerl ; Dennis Gankin.
doi:10.5281/zenodo.8247133. , 2023

Link: https://zenodo.org/recor..

9

Species-aware DNA language modeling - data:

Dennis Gankin ; Alexander Karollus ; Martin Grosshauser...
doi:10.5281/zenodo.7568343. , 2023

Link: https://zenodo.org/recor..

10

Species-aware DNA language modeling - data:

Dennis Gankin ; Alexander Karollus ; Martin Grosshauser...
doi:10.5281/zenodo.7568343. , 2023

Link: https://zenodo.org/recor..

11

Predicting mean ribosome load for 5'UTR of any length using..:

Alexander Karollus ; Žiga Avsec ; Julien Gagneur
https://doi.org/10.1371/journal.pcbi.1008982. , 2021

Link: https://doi.org/10.1371/..

12

Identifying motifs within the HBB 5'UTR sequence:

Alexander Karollus (10777000) ; Žiga Avsec (10777003) ; Julien Gagneur (4350)
https://figshare.com/articles/figure/Identifying_motifs_within_the_HBB_5_UTR_sequence_/14568241. , 2021

Link: https://doi.org/10.1371/..

13

Performance of Optimus50 and FramePool50 on MPRA test-sets:

Alexander Karollus (10777000) ; Žiga Avsec (10777003) ; Julien Gagneur (4350)
https://figshare.com/articles/figure/Performance_of_Optimus50_and_FramePool50_on_MPRA_test-sets_/14568226. , 2021

Link: https://doi.org/10.1371/..

14

Performance of Optimus100 and Framepool100 on fixed and var..:

Alexander Karollus (10777000) ; Žiga Avsec (10777003) ; Julien Gagneur (4350)
https://figshare.com/articles/figure/Performance_of_Optimus100_and_Framepool100_on_fixed_and_variable_length_MPRA_sequences_/14568151. , 2021

Link: https://doi.org/10.1371/..

15

Correlation of predicted and measured uTIS strengths for Fr..:

Alexander Karollus (10777000) ; Žiga Avsec (10777003) ; Julien Gagneur (4350)
https://figshare.com/articles/figure/Correlation_of_predicted_and_measured_uTIS_strengths_for_FramePool100_/14568175. , 2021

Link: https://doi.org/10.1371/..