bioRxivBioinformatics
FinisherSC : A repeat-aware tool for upgrading de-novo assembly using long reads
Abstract
We introduce FinisherSC, a repeat-aware and scalable tool for upgrading de-novo assembly using long reads. Experiments with real data suggest that FinisherSC can provide longer and higher quality contigs than existing tools while maintaining high concordance.\n\nAvailabilityThe tool and data are available and will be maintained at http://kakitone.github.io/finishingTool/\n\nContactdntse@stanford.edu
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The SAMBA tool uses long reads to improve the contiguity of genome assemblies
Aleksey V. Zimin, Steven L. Salzberg·PLoS Computational BiologyPeer-reviewed·Feb 4, 2022
- Raven: a de novo genome assembler for long reads
Robert Vaser, Mile Šikić·Nature Computational SciencePeer-reviewed·May 20, 2021
- HairSplitter: haplotype assembly from long, noisy reads
Roland Faure, Dominique D. Lavenier, Jean‐François Flot·Peer Community JournalPeer-reviewed·Oct 8, 2024
- RefLA: Efficient reference-guided genome assembly from long reads
X J Shi, Hansen Chen, … Jianxin Wang·bioRxiv·Dec 25, 2025
- Scaffolding of long read assemblies using long range contact information
Jay Ghurye, Mihai Pop, … Chen-Shan Chin·BMC GenomicsPeer-reviewed·Jul 12, 2017
- HINGE: Long-Read Assembly Achieves Optimal Repeat Resolution
Govinda M. Kamath, Ilan Shomorony, … David N. C. Tse·Genome ResearchPeer-reviewed·May 1, 2017