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Old 12-01-2017, 10:37 PM   #4
chen@haplox.com
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Location: Shenzhen, China

Join Date: Aug 2015
Posts: 15
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I suggest fastp to do automatic adapter trimming, read filtering and quality control. fastp is developed in C++ with multi-threading support, it's ultra-fast.

fastp has following features:
1, filter out bad reads (too low quality, too short, or too many N...)
2, cut low quality bases for per read in its 5' and 3' by evaluating the mean quality from a sliding window (like Trimmomatic but faster).
3, trim all reads in front and tail
4, cut adapters. Adapter sequences can be automatically detected,which means you don't have to input the adapter sequences to trim them.
5, correct mismatched base pairs in overlapped regions of paired end reads, if one base is with high quality while the other is with ultra low quality
6, preprocess unique molecular identifer (UMI) enabled data, shift UMI to sequence name.
7, report JSON format result for further interpreting.
8, visualize quality control and filtering results on a single HTML page (like FASTQC but faster and more informative).
9, split the output to multiple files (0001.R1.gz, 0002.R1.gz...) to support parallel processing. Two modes can be used, limiting the total split file number, or limitting the lines of each split file.
10, support long reads (data from PacBio / Nanopore devices).

fastp creates reports in both HTML and JSON format.

HTML report: http://opengene.org/fastp/fastp.html
JSON report: http://opengene.org/fastp/fastp.json

fastp is an open source project at github: https://github.com/OpenGene/fastp
__________________
OpenGene(Libraries and tools for NGS data analysis),AfterQC(Fastq Filtering and QC)
FusionDirect.jl( Detect gene fusion), SeqMaker.jl(Next Generation Sequencing simulation)
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