LongISLND
LongISLND simulates sequencing reads that replicate the characteristics of third-generation single-molecule sequencing technologies to support method development and validation.
Key Features:
- Third-generation single-molecule simulation: Simulates sequencing data that mirror characteristics of third-generation single-molecule sequencing technologies.
- PacBio multi-pass emulation: Emulates Pacific Biosciences multi-pass sequencing behavior.
- P5 and P6 chemistries: Models sequencing using PacBio P5 and P6 chemistries.
- Output formats: Produces simulated data in FASTQ, H5, and PacBio BAM formats.
- Extendable architecture: Provides a flexible and extendable architecture to emulate various sequencing chemistries and formats.
- Consensus building: Facilitates downstream consensus generation workflows.
- Variant calling: Facilitates downstream variant-calling workflows.
- Implementation: Implemented in Java.
Scientific Applications:
- Method validation and benchmarking: Enables validation and benchmarking of third-generation sequencing protocols and analyses.
- Analytical pipeline development: Supports development and testing of downstream bioinformatics pipelines using simulated PacBio-like data.
- Consensus and variant-caller evaluation: Allows development and evaluation of consensus-building and variant-calling methods without experimental data.
Methodology:
Emulates PacBio multi-pass sequencing using P5 and P6 chemistries and generates FASTQ, H5, and PacBio BAM outputs; implemented in Java.
Topics
Details
- License:
- CC-BY-NC-SA-4.0
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Java, Python
- Added:
- 11/27/2018
- Last Updated:
- 1/13/2019
Operations
Publications
Lau B, Mohiyuddin M, Mu JC, Fang LT, Bani Asadi N, Dallett C, Lam HYK. LongISLND: <i>in silico</i> sequencing of lengthy and noisy datatypes. Bioinformatics. 2016;32(24):3829-3832. doi:10.1093/bioinformatics/btw602. PMID:27667791. PMCID:PMC5167071.
Documentation
User manual
http://bioinform.github.io/longislnd/Links
Issue tracker
https://github.com/bioinform/longislnd/issues