Search Results for "fastq" - Page 2
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Showing 55 open source projects for "fastq"
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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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AFSM_seq
a simple and rapid method for genome-wide SNP and methylation site
Reference based analysis 1.Filter the raw reads obtained from Illumina Raw Data (paired-ends)according to your desired stringency, to produce a set of high-quality (HQ) sequences in fastq format. 2.Lignment reads (HQ, Fastq format) against Barcode file (Fasta format) using scanAP program. 3.Trim barcodes and filter paired-ends using trim_seq.pl. Classified paired-ends using fltfastq2pe.pl. to produce output “R1.trim.pair.fastq” and “R2.trim.pair.fastq”. 4.The filtered sequence reads were aligned to the reference genome using the Bowtie2, allowing a maximum of four mismatches and one gap of up to 3 bp. ... -
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NGSimple
NGS - Next-Generation Sequencing sIMulation PipeLinE
...It's recommended to start with a short reference (~5M bases), in case that the number of generated reads is too large for assembly. input: reference + parameter output: ./1.fastq/reads.fastq assemly.pl assemble the reads (./1.fastq/reads.fastq) from those designed libraries to assemblies. based on the parameters specified in CONFIG file. It will generate assmblies with different K-mer (./2.assembly/*), and choose the assembly with largest n50. Finally, it will produce a quartile summary and mummerplot for each for you to select a good parameter combination. ... -
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HBSAnalyzer
Aligner and methylation caller for hairpin bisulfite sequencing data
HBS Analyzer is a methylation calling tool for hairpin-bisulfite sequencing data. HBS Analyzer can accept raw hairpin-bisulfite sequencing data in FASTA or FASTQ format, align the paired end reads to the reference genome and call methylation. Given the double stranded nature of the data that is used, HBS analyzer can identify errors caused by PCR and sequencing along with identifying hemi-methylated sites. This error information is also considered while making the methylation call and hence methylation sites introduced by SNPs are also identified along with the known methylation sites in the genome. -
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HBSAnalyzer
Aligner and methylation caller for hairpin bisulfite sequencing data
HBS Analyzer is a methylation calling tool for hairpin-bisulfite sequencing data. HBS Analyzer can accept raw hairpin-bisulfite sequencing data in FASTA or FASTQ format, align the paired end reads to the reference genome and call methylation. Given the double stranded nature of the data that is used, HBS analyzer can identify errors caused by PCR and sequencing along with identifying hemi-methylated sites. This error information is also considered while making the methylation call and hence methylation sites introduced by SNPs are also identified along with the known methylation sites in the genome. -
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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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Bycom
Bycom can do methylcytosine calling (5mC calling) from BS-seq.
Bycom can do methylcytosine calling from BS-seq (WGBS and RRBS), and either unmapped reads (FASTQ) or mapped reads (SAM/BAM) could be permitted for the input data. Certain SNPs (C>A/G) can also be selected in the output. 1. There's no softwares or methods identify methylcytosines considering the cell heterozygosis caused by multicellular sequencing. Bycom introduced it along with the sequencing errors and unconverson rate based on the Bayesian model. 2. -
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fqzcomp
A fastq compression program
Fqzcomp is a basic fastq compressor, designed primarily for high performance. Despite that it is comparable to bzip2 for compression levels. -
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caplib
Correct, translate and analyze combinatorial library sequencing data
Originally developped to handle PacBio CCS data for an AAV capsid library. This program will extract, correct, translate and analyze the sequencng data, starting from the CCS fastq file. -
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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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trimMate is a tool to remove junction adapters as well as sequencing adapters from mate pair libraries and trim the sequences accordingly. It works on fastq files generated by next generation sequencing (NGS) machines. The release is source code only, please download from version control.
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QualComp
Lossy Compression algorithm for Quality Scores
QualComp is a lossy compression algorithm for the quality scores presented in a FASTQ file. -
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GenOO-HTS
A Modern Perl Framework for High Throughput Sequencing analysis
GenOO-HTS [jee-noo] is an open-source; object-oriented Perl framework specifically developed for the design of High Throughput Sequencing (HTS) analysis tools. The primary aim of GenOO-HTS is to make simple HTS analyses easy and complicated analyses possible. GenOO-HTS models biological entities into Perl objects and provides relevant attributes and methods that allow for the manipulation of high throughput sequencing data. Using GenOO-HTS as a core development module reduces the overhead... -
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NeedlemanWunsch
Fast global sequence alignment for the masses!
MOVED TO GITHUB: https://github.com/noporpoise/seq-align Global optimal sequence alignment using the Needleman-Wunsch algorithm. Aligns DNA, RNA, protein sequence and more! See our sister project local alignment using Smith-Waterman: http://sourceforge.net/projects/smithwaterman/ -
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FusionFinder
Tool to find gene fusions in RNA-Seq data
This software takes FASTQ data from RNA-Seq projects and interrogates it for the presence of gene fusions. -
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fastqsqueeze
compresses all FASTQ files
compresses all FASTQ files as described in http://en.wikipedia.org/wiki/FASTQ_format with a better ratio then zip or standard packers -
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quip
Absurdly high compression of FASTQ sequence files.
Note: this is a mirror of https://github.com/dcjones/quip It may not be entirely up to date. -
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fastqz
FASTQ file compressor
fastqz is a compressor for the most common (Sanger format) FASTQ files produced by DNA sequencing machines. It may be used with a reference genome for better compression. -
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SmithWaterman
Fast local sequence alignment for the masses!
MOVED TO GITHUB: https://github.com/noporpoise/seq-align An implementation of the Smith-Waterman local sequence alignment algorithm. See our sister project global alignment using Needleman-Wunsch: http://sourceforge.net/projects/needlemanwunsch/ -
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fqpack
FASTQ compression
Provides bitwise, context-based 2nd generation data compression for large FASTQ-based files -
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Simple python code that produces color-coded quality plots based on fastq format read quality scores. Scores are averaged over binned read tile coordinates. Useful for spotting spatial quality patterns.
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