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NAR Genomics and Bioinformatics|August 23, 2023
Tailored machine learning models for functional RNA detection in genome-wide screensChristopher Klapproth, Siegfried Zötzsche, Felix Kühnl, et al.
NAR Genomics and Bioinformatics|August 23, 2023
Machine learning based lineage tree reconstruction improved with knowledge of higher level relationships between cells and genomic barcodesAlisa Prusokiene, Augustinas Prusokas, Renata Retkute
NAR Genomics and Bioinformatics|August 23, 2023
BioConvert: a comprehensive format converter for life sciencesHugo Caro, Sulyvan Dollin, Anne Biton, et al.
NAR Genomics and Bioinformatics|August 28, 2023
Prediction of G4 formation in live cells with epigenetic data: a deep learning approachAnna Korsakova, Anh Tuân Phan
NAR Genomics and Bioinformatics|October 18, 2023
TAGADA: a scalable pipeline to improve genome annotations with RNA-seq dataCyril Kurylo, Cervin Guyomar, Sylvain Foissac, et al.
NAR Genomics and Bioinformatics|July 14, 2023
Transmorph: a unifying computational framework for modular single-cell RNA-seq data integrationAziz Fouché, Loïc Chadoutaud, Olivier Delattre, et al.
NAR Genomics and Bioinformatics|July 14, 2023
A low-coverage 3' RNA-seq to detect homeolog expression in polyploid wheatJianqiang Sun, Moeko Okada, Toshiaki Tameshige, et al.
NAR Genomics and Bioinformatics|June 30, 2023
ViCloD, an interactive web tool for visualizing B cell repertoires and analyzing intraclonal diversities: application to human B-cell tumorsLucile Jeusset, Nika Abdollahi, Thibaud Verny, et al.
NAR Genomics and Bioinformatics|June 19, 2023
scROSHI: robust supervised hierarchical identification of single cellsMichael Prummer, Anne Bertolini, Lars Bosshard, et al.
NAR Genomics and Bioinformatics|June 9, 2021
Known sequence features can explain half of all human gene endsAleksei Shkurin, Timothy R Hughes
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