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Showing 22 open source projects for "read"
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1
Free DELTA
Software tools for processing taxonomic descriptions in DELTA format
The Free DELTA Project is a free, open-source, software alternative for a generic system to the processing of taxonomic descriptions based on the DELTA (DEscription Language for TAxonomy) format. -
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BioXTAS RAW
Processing and analysis of Small Angle X-ray Scattering (SAXS) data.
BioXTAS RAW is a program for analysis of Small-Angle X-ray Scattering (SAXS) data. The software enables: creation of 1D scattering profiles from 2D detector images, standard data operations such as averaging and subtraction, analysis of radius of gyration (Rg) and molecular weight, and advanced analysis using GNOM and DAMMIF as well as electron density reconstructions using DENSS. It also allows easy processing of inline SEC-SAXS data and data deconvolution using the evolving factor analysis... -
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CodonU
A python project for analysis of codon usage for gene or genome analys
With CodonU, you can now easily read, manipulate, and analyze various file formats used in this kind of analysis, and generate high-quality graphics suitable for publishing. This open-source project incorporates various statistical measures necessary for codon usage analysis, including codon adaptation index, codon bias index, Gravy score, and correspondence analysis for both nucleotide and protein sequences. -
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MiModD
Mutation Identification in Model Organism Genomes using Desktop PCs
MiModD is a software package for genomic variant identification from next-generation sequencing (NGS) data with optimized usage of system resources and a user-friendly interface. For most model organism genomes it lets the user carry out a complete analysis from unaligned genomic NGS read data to an annotated list of variants on a regular Desktop PC within a few hours. Its user-interface is beginner-friendly and designed to encourage geneticists to analyze NGS data themselves without the help of a trained bioinformatician. -
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PPLine
SNP calling, annotation and gene/transcripts expression quantification
PPLine is a Python-based suite aimed to process raw RNA-seq or Exome-seq data. PPLine provides: - read mapping (STAR/Tophat2/bowtie/bowtie2), including novel splice junsctions discovery - gene and transcript expression estimation (HTSeq-count/Cufflinks) - SNP calling with BQSR and indel realignment (samtools/GATK) - variant annotation (Annovar) - novel transcripts discovery (Cufflinks) - predicting proteotypic peptides and creating ref/alt proteins fasta-database - integration of the results -
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lr2rmats
Long read to rMATS
lr2rmats is a Snakemake-based light-weight pipeline which is designed to utilize both third-generation long-read and second-generation short-read RNA-seq data to generate an enhanced gene annotation file. The newly generated annotation file could be provided to rMATS for differential alternative splicing analysis. More information can be found at https://sourceforge.net/p/lr2rmats/wiki/Home/ -
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QSdpR
Viral Quasispecies Reconstruction software based on QSdpR algorithm
This is a viral quasispecies reconstruction software for quasispecies assembly problem on mRNA viruses, which is based on a correlation clustering approach and uses semidefinite optimization framework. The software accepts a reference genome, a NGS read set aligned to this reference and set of SNP locations in the form of a vcf file and outputs an optimal set of reconstructed species genomes which describes the underlying viral population. -
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PBSuite
Software for Long-Read Sequencing Data from PacBio
...PBHoney considers both intra-read discordance and soft-clipped tails of long reads to identify structural variants. -
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CorNetMap
A tool for Gene Expression Correlation Network
Capabilities of CorNetMap: 1. Read data as tab-delimited text file. Can be used for analysis of any data set beyond gene expression. 2. Capable of both two-dimensional and multidimensional data analysis. 3. Calculate Pearson correlation and cross-correlation for analysis data with phase difference. 4. Generate correlation Heat-map and draws network map. 5. -
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10
BioC
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are interested in reuse, and we focus on common NLP tasks that are broadly useful for textmining. -
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GASiC
Genome Abundance Similarity Correction
...However, the majority of approaches either quantify at low resolution (e.g. at phylum level) or have severe problems discerning highly similar species. Yet, accurate quantification on species level is desirable in applications such as metagenomic diagnostics or community comparison. GASiC is a method to correct read alignment results for the ambiguities imposed by similarities of genomes. It has superior performance over existing methods. You can find the accompanying paper here: http://nar.oxfordjournals.org/content/41/1/e10.short Thanks to the great work of the SeqAn team, you can now use GASiC as a Knime workflow: https://github.com/seqan/knime_seqan_workflows/tree/master/metagenomics_gasic_workflow -
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IMPACT is an integrated multi-read peak calling tool for ChIP-Seq data. IMPACT utilizes multi-reads in calling peaks and provides users with high-confidence peaks. In addition, IMPACT provides a completely integrated pipeline which produces downstream analysis results such as motif discovery and peak-to-gene annotation.
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FineSplice
Enhanced splice junction detection and estimation from RNA-Seq data
...Following alignment with TopHat2 using known transcript annotations, FineSplice takes as input the resulting BAM file and outputs a confident set of expressed splice junctions with the corresponding read counts. Potential false positives arising from spurious alignments are filtered out via a semi-supervised anomaly detection strategy based on logistic regression. Multiple mapping reads with a unique location after filtering are rescued and reallocated to the most reliable candidate location. FineSplice requires Python 2.x (>= 2.6) with the following modules installed: pysam (http://code.google.com/p/pysam/) and scikit-learn (http://scikit-learn.org/). ... -
14
srst
Short Read Sequence Typing
Update - SRST2 Now Available ------ 25 Sep, 2013 This project has now been replaced by SRST2 - Short Read Sequence Typing for Bacterial Pathogens, available at http://katholt.github.io/srst2/ The new SRST2 program does gene typing as well as MLST (e.g. typing resistance genes, virulence genes, etc). SRST2 is faster and more accurate than the old SRST, using bowtie2 to achieve local alignments (no need for flanking sequences) and a brand new scoring system. -
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Webapp
A web interface to the SnowyOwl gene prediction pipeline
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16
ARDEN
Specificity Control for Read Alignments Using an Artificial Reference
We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation. -
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ReadWrapper is a Python toolset to prepare and package raw sequencing data ("reads") for submission to the Sequence Read Archive (SRA, http://trace.ncbi.nlm.nih.gov/Traces/sra/).
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brocc
BLAST Read and OTU Consensus Classifier
NOW HOSTED ON GITHUB: https://github.com/kylebittinger/brocc Old releases are kept here for archival purposes. -
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metaProt
Pipeline to analyze coding regions in metagenomic projects
metaProt is a python pipeline to analyze and extract data from protein sequences found in metagenomic projects. It integrates several existing tools (HMMer, Pepstats, Blast...) to be used against custom databases. Please, read the README.txt file to find more about this. -
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The RDXplorer is a computational tool for copy number variants (CNV) detection in whole human genome sequence data using read depth (RD) coverage. CNV detection is based on the Event-Wise Testing (EWT) algorithm recently published by our group.
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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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NeuraPy is now hosted on github This is a collection of Python modules that read files encountered in neuroscience experiments. Included are modules to read lablib files and modules to read Cyberkinetics Cerebus system .nev and .ns3 files
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