LRSDAY specifications

Information


Unique identifier OMICS_20858
Name LRSDAY
Alternative name Long-read Sequencing Data Analysis for Yeasts
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Input format FASTQ
Output data A chromosome-level genome assembly with high-quality annotations of centromeres, protein-coding genes, tRNAs, transposable elements and telomere associated core X and Y’ elements.
Operating system Unix/Linux
Programming languages Perl, Python, Shell (Bash)
Computer skills Advanced
Stability Stable
Maintained Yes

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Publication for Long-read Sequencing Data Analysis for Yeasts

library_books

LRSDAY: Long-read sequencing data analysis for yeasts.

2017 BioRxiv
PMID: 29725120
DOI: 10.1101/184572
LRSDAY institution(s)
Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
LRSDAY funding source(s)
Supported by ATIP-Avenir (CNRS/INSERM), Fondation ARC pour la Recherche sur le Cancer (PJA20151203273), Marie Curie Career Integration Grants (322035), Agence Nationale de la Recherche (ANR-16-CE12-0019, ANR-13-BSV6-0006-01 and ANR-11-LABX-0028-01), Cancéropôle PACA (AAP émergence 2015) and a DuPont Young Professor Award; a postdoctoral fellowship from 749 Fondation ARC pour la Recherche sur le Cancer (PDF20150602803).

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