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Evaluation of tools for long read RNA-seq splice-aware alignment
Krešimir Križanović, Amina Echchiki, Julien Roux, Mile Šikić
doi: https://doi.org/10.1101/126656
Krešimir Križanović
1Department of Electronic Systems and Information Processing, University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia
Amina Echchiki
3Université de Lausanne, Département d’Ecologie et d’Evolution, Quartier Sorge, 1015 Lausanne, Switzerland
4Swiss Institute of Bioinformatics, Lausanne, Switzerland
Julien Roux
3Université de Lausanne, Département d’Ecologie et d’Evolution, Quartier Sorge, 1015 Lausanne, Switzerland
4Swiss Institute of Bioinformatics, Lausanne, Switzerland
Mile Šikić
1Department of Electronic Systems and Information Processing, University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia
2Bioinformatics Institute, Singapore 138671, Singapore
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Posted April 11, 2017.
Evaluation of tools for long read RNA-seq splice-aware alignment
Krešimir Križanović, Amina Echchiki, Julien Roux, Mile Šikić
bioRxiv 126656; doi: https://doi.org/10.1101/126656
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