NGseqBasic - a single-command UNIX tool for ATAC-seq, DNaseI-seq, Cut-and-Run, and ChIP-seq data mapping, high-resolution visualisation, and quality control
Abstract
With decreasing cost of next-generation sequencing (NGS), we are observing a rapid rise in the volume of big data in academic research, healthcare and drug discovery sectors. The present bottleneck for extracting value from these big data sets is data processing and analysis. Considering this, there is still a lack of reliable, automated and easy to use tools that will allow experimentalists to assess the quality of the sequenced libraries and explore the data first hand, without the need of investing a lot of time of computational core analysts in the early stages of analysis.\n\nNGseqBasic is an easy-to-use single-command analysis tool for chromatin accessibility (ATAC, DNaseI) and ChIP sequencing data, providing support to also new techniques such as low cell number sequencing and Cut-and-Run. It takes in fastq, fastq.gz or bam files, conducts all quality control, trimming and mapping steps, along with quality control and data processing statistics, and combines all this to a single-click loadable UCSC data hub, with integral statistics html page providing detailed reports from the analysis tools and quality control metrics. The tool is easy to set up, and no installation is needed. A wide variety of parameters are provided to fine-tune the analysis, with optional setting to generate DNase footprint or high resolution ChIP-seq tracks. A tester script is provided to help in the setup, along with a test data set and downloadable example user cases.\n\nNGseqBasic has been used in the routine analysis of next generation sequencing (NGS) data in high-impact publications 1,2. The code is actively developed, and accompanied with Git version control and Github code repository. Here we demonstrate NGseqBasic analysis and features using DNaseI-seq data from GSM689849, and CTCF-ChIP-seq data from GSM2579421, as well as a Cut-and-Run CTCF data set GSM2433142, and provide the one-click loadable UCSC data hubs generated by the tool, allowing for the ready exploration of the run results and quality control files generated by the tool.\n\nAvailabilityDownload, setup and help instructions are available on the NGseqBasic web site http://userweb.molbiol.ox.ac.uk/public/telenius/NGseqBasicManual/external/\n\nBioconda users can load the tool as library \"ngseqbasic\". The source code with Git version control is available in https://github.com/Hughes-Genome-Group/NGseqBasic/releases.\n\nContactjelena.telenius@imm.ox.ac.uk
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 30
- Assay
- Research Focus
- Approach
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
- ngsReports: An R Package for managing FastQC reports and other NGS related log files.
Christopher M. Ward, Thu‐Hien To, Stephen Pederson·BioinformaticsPeer-reviewed·Dec 12, 2019
- ChIPSeqFPro, a pipeline for sequential processing of ChIP-Seq fastq to bigwig files
Milos Pjanic·bioRxiv·Mar 18, 2017
- FastqCleaner: an interactive Bioconductor application for quality-control, filtering and trimming of FASTQ files
Leandro Gabriel Roser, Fernán Agüero, Daniel Oscar Sánchez·BMC BioinformaticsPeer-reviewed·Jun 28, 2019
- easyfm : An easy software suite for file manipulation of Next Generation Sequencing data on desktops
Hyungtaek Jung, Brendan Jeon, Daniel Ortíz-Barrientos·bioRxiv·Sep 29, 2021
- HTSeq - A Python framework to work with high-throughput sequencing data
Simon Anders, Paul Theodor Pyl, Wolfgang Huber·BioinformaticsPeer-reviewed·Sep 25, 2014
- nsearch: An open source C++ library for processing and similarity searching of next-generation sequencing data
Schmid Steven, Timothy Ryan Julian, Manu V. Tamminen·bioRxiv·Aug 25, 2018