Search Results for "fastq"
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Showing 12 open source projects for "fastq"
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BBMap
BBMap short read aligner, and other bioinformatic tools.
...BBNorm: Kmer-based error-correction and normalization tool. Dedupe: Simplifies assemblies by removing duplicate or contained subsequences that share a target percent identity. Reformat: Reformats reads between fasta/fastq/scarf/fasta+qual/sam, interleaved/paired, and ASCII-33/64, at over 500 MB/s. BBDuk: Filters, trims, or masks reads with kmer matches to an artifact/contaminant file. ...and more! -
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miRDeep*
MiRDeep*
Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction. -
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123FASTQ
An intuitive and efficient tool for preprocessing Illumina FASTQ reads
123FASTQ performs all the pre-processes of Illumina next-generation sequencing reads (FASTQ files) easier than ever. Download the quick user manual for the latest version: https://dl.adbioinformatics.net/NGSNeeds/myTools/123Fastq_v1.3_Manual.pdf Authors: Milad Eidi, Samaneh Abdolalizadeh, Mohammad Hossein Nassirpour Supervisors: Javad Zahiri, PhD University of California San Diego Masoud Garshasbi, PhD Tarbiat Modares University, Tehran, Iran If you use 123FASTQ, please cite this preprint: 123FASTQ: an intuitive and efficient tool for preprocessing Illumina FASTQ reads https://www.biorxiv.org/content/10.1101/2024.03.08.584032v1 ########################################################## Take care of the details and ensure you use the latest version. ... -
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FastQC
A quality control analysis tool for high throughput sequencing data
...Its goal is to provide a simple way by which to check the quality of raw sequence data coming from high throughput sequencing pipelines. It does this by running a modular set of analyses on one or more raw sequence files in fastq or bam format. It then produces a report summarizing the results, and highlighting any areas where the library may appear unusual. This should then direct you to where your data may have problems and allow you to take necessary steps to correct it before doing any further analysis. FastQC is not tied to any specific type of sequencing technique, so it can be used to look at libraries of various experiment types (Genomic Sequencing, ChIP-Seq, RNA-Seq, BS-Seq etc etc). -
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MarDRe
MapReduce-based tool to remove duplicate DNA reads
MarDRe is a de novo MapReduce-based parallel tool to remove duplicate and near-duplicate DNA reads through the clustering of single-end and paired-end sequences from FASTQ/FASTA datasets. This tool allows bioinformatics to avoid the analysis of not necessary reads, reducing the time of subsequent procedures with the dataset. MarDRe is the Big Data counterpart of ParDRe (link above), which employs HPC technologies (i.e., hybrid MPI/multithreading) to reduce runtime on multicore systems. Instead, MarDRe takes advantage of the MapReduce programming model to significantly improve ParDRe performance on distributed systems, especially on cloud-based infrastructures. ... -
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HSRA
Hadoop spliced read aligner for RNA-seq data
...This tool allows bioinformatics researchers to efficiently distribute their mapping tasks over the nodes of a cluster by combining a fast multithreaded spliced aligner (HISAT2) with Apache Hadoop, which is a distributed computing framework for scalable Big Data processing. HSRA currently supports single-end and paired-end read alignments from FASTQ/FASTA datasets. Moreover, our tool uses the Hadoop Sequence Parser (HSP) library (link above) to efficiently read the input datasets stored on the Hadoop Distributed File System (HDFS), being able to process datasets compressed with Gzip and BZip2 codecs. -
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SeqPig
Use Apache Pig to process your large sequencing datasets!
...It provides import and export functions for file formats commonly used for sequencing data, as well as a collection of Pig user-defined-functions (UDF’s) to help process aligned and unaligned sequence data. Currently SeqPig supports BAM/SAM, FastQ and Qseq input and output. For more information see the manual at http://seqpig.sourceforge.net/ -
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ArtificialFastqGenerator
Ouputs artificial FASTQ files derived from a reference genome.
ArtificialFastqGenerator takes the reference genome (in FASTA format) as input and outputs artificial FASTQ files in the Sanger format. It can accept Phred base quality scores from existing FASTQ files, and use them to simulate sequencing errors. Since the artificial FASTQs are derived from the reference genome, the reference genome provides a gold-standard for calling variants (Single Nucleotide Polymorphisms (SNPs) and insertions and deletions (indels)). -
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Hadoop-BAM is a Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework with the Picard SAM JDK, and command line tools similar to SAMtools. The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF. For a longer high-level description of Hadoop-BAM, refer to the article "Hadoop-BAM: directly manipulating next generation sequencing data in the cloud" in Bioinformatics Volume 28 Issue 6 pp. 876-877, available online at: http://dx.doi.org/10.1093/bioinformatics/bts054 Note that the library part of Hadoop-BAM is mainly for developers with experience in using Hadoop. ...
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SuRankCo
Supervised Ranking of Contigs in de novo Assemblies
...Renard (http://www.biomedcentral.com/1471-2105/16/240/abstract) PLEASE NOTE, it is recommended to read the paper and the readme.txt file before using SuRankCo. Update Jun2015: * Minor changes to enable BAM support. Update Feb2014: * Added support for FASTA/SAM assemblies in addition to ACE/FASTQ(QUAL). NOTE: features of FASTA/SAM assemblies do not include BaseCount, BaseSeqmentCount and ContigQualities yet. -
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TriageTools
Tools for partitioning and prioritizing fastq data
TriageTools is a collection of tools for partitioning raw data (fastq reads) from high-throughput sequencing projects. The tools are designed for basic data management as well for prioritizing analysis of certain subsets. The project wiki contains usage information. -
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DimerRemover
Remove adapter dimers from NGS data
This program can be used to count or remove adapter dimers in fastq files. Using a provided adapter sequence, it generates variations of this sequence and stores them in a hash table. The reads can then be directly matched against the hash. It is far more time efficient than doing alignment.
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