Search Results for "sam to fastq"
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Showing 11 open source projects for "sam to fastq"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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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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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,... -
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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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FastQC
A quality control analysis tool for high throughput sequencing data
FastQC is a quality control analysis tool designed to spot potential problems in high throughput sequencing datasets. 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... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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GapFiller
A de novo local assembler for paired reads
GapFiller is a seed-and-extend local assembler to fill the gap within paired reads. It can be used for both DNA and RNA and it has been tested on Illumina data. GapFiller can be used whenever a sequence is to be assembled starting from reads lying on its ends, provided a loose estimate of sequence length. -
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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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bio-cargo
CARGO - Compressed ARchival for GenOmics
CARGO is a high-level framework that can semi-automatically generate software systems optimized for the compressed storage of arbitrary types of large genomic data collections. Straightforward applications of CARGO methods to compress FASTQ and SAM format archives require only a few lines of code, produce solutions that match and sometimes outperform specialized format-tailored compressors, and scale well to multi-TB datasets. -
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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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10
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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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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