Discover our collection of 6 research tools and applications for data quality management.
Found 5 of 5 tools
A C++ drop-in replacement of FastQC to assess the quality of sequence read data
This tool aims to provide a QC report which can spot problems or biases which originate either in the sequencer or in the starting library material. It can be run in one of two modes. It can either run as a stand alone interactive application for the immediate analysis of small numbers of FastQ files, or it can be run in a non-interactive mode where it would be suitable for integrating into a larger analysis pipeline for the systematic processing of large numbers of files
Platform-independent application written in Java and R that provides both a Graphical User Inteface (GUI) and a command-line interface to facilitate the quality control of alignment sequencing data.
Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data AfterQC can simply go through all fastq files in a folder and then output three folders: good, bad and QC folders, which contains good reads, bad reads and the QC results of each fastq file/pair.
Convert various sequence formats to FASTA