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1 Ergebnisse
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sRNARFTarget: a fast machine-learning-based approach for tr..:
Kratika Naskulwar (11886500)
;
Lourdes Peña-Castillo (51044)
https://figshare.com/articles/journal_contribution/sRNARFTarget_a_fast_machine-learning-based_approach_for_transcriptome-wide_sRNA_target_prediction/17704061. , 2021
Link:
https://doi.org/10.6084/m9.figshare.17704061.v1
RT Journal T1 <Title>sRNARFTarget: a fast machine-learning-based approach for transcriptome-wide sRNA target prediction</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_17704061&Exemplar=1&LAN=DE A1 Kratika Naskulwar (11886500) A1 Lourdes Peña-Castillo (51044) YR 2021 K1 Biochemistry K1 Microbiology K1 Genetics K1 Molecular Biology K1 Biological Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 sRNAs K1 sRNA target prediction K1 sRNA interactome K1 bacteria gene regulation K1 machine learning K1 comparative assessment K1 CopraRNA K1 intarna K1 sRNARFTarget K1 bioinformatics JF https://figshare.com/articles/journal_contribution/sRNARFTarget_a_fast_machine-learning-based_approach_for_transcriptome-wide_sRNA_target_prediction/17704061 LK http://dx.doi.org/https://doi.org/10.6084/m9.figshare.17704061.v1 DO https://doi.org/10.6084/m9.figshare.17704061.v1 SF ELIB - SuUB Bremen
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