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  • 1

    BisSNP

    Bisulfite-seq/NOMe-seq SNPs & cytosine methylation caller

    Now in Github: https://github.com/dnaase/Bis-tools/tree/master/Bis-SNP BisSNP is a package based on the Genome Analysis Toolkit (GATK) map-reduce framework for genotyping in bisulfite treated massively parallel sequencing (Bisulfite-seq, NOMe-seq and RRBS) on Illumina platform. It uses bayesian inference with either manually specified or automatically estimated methylation probabilities of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other bisulfite treated sequencing) to determine genotypes and methylation levels simultaneously. ...
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  • 2

    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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  • 3

    DualTranscriptDiscovery

    Transcript-discovery approach for gene feature delimitation by RNA-seq

    This project contains Python scripts usable for a dual transcript-discovery approach that improves the delimitation of gene features from RNA-seq data in the chicken model. Documentation: http://bio.biologists.org/content/biolopen/suppl/2018/01/17/bio.028498.DC1/BIO028498supp.pdf Citation: Orgeur M., Martens M., Börno S. T., Timmermann B., Duprez D. and Stricker S. (2018). A dual transcript-discovery approach to improve the delimitation of gene features from RNA-seq data in the chicken model. ...
    Downloads: 1 This Week
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  • 4

    MethyMer

    Design of specific primer combinations for bisulfite sequencing

    ...SpG islands) and includes specificity test (based on bowtie alignment against bisulfite-treated genome). It also incorporates TCGA CpG methylation (microarrays) and gene expression (RNA-Seq) data, as well as methylation-expression correlation analysis results for 20 human cancer types. ENCODE genome regions annotation data are also integrated in MethyMer
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  • 5

    fourSig

    Analyze 4C-seq data.

    fourSig is a suite of programs for analyzing and visualizing 4C-seq data.
    Downloads: 1 This Week
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  • 6

    Crosshub

    Multi-way analysis of The Cancer Genome Atlas (TCGA) project datasets

    Crosshub enables multi-way analysis of RNA-Seq, miRNA-Seq and methylome data of The Cancer Genome Atlas (TCGA) project: 1. differential expression analysis (genes, alternative transcripts and miRNA) 2. regulatory miRNA prediction (TargetScan, DIANA microT, mirSVR, PicTar, miRTarBase + co-expression) 3. regulatory TF prediction (ENCODE ChIP-Seq + co-expression) 4. methylation profiling analysis 5.
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  • 7
    CSBB-v2.0

    CSBB-v2.0

    Computational Suite for Bioinformaticians and Biologists

    ...CSBB is currently available on Linux, UNIX and Windows platforms. Currently CSBB provides 16 modules focused on analytical tasks like normalization, visualization, statistics, RNA-SEQ etc.
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  • 8

    SnowyOwl

    RNA-Seq based gene prediction pipeline for fungal genomes

    SnowyOwl is a gene prediction pipeline that uses RNA-Seq data to train and provide hints for the generation of Hidden Markov Model (HMM)-based gene predictions, and to evaluate the resulting models. The pipeline has been validated and streamlined by comparing its predictions to manually curated gene models in three fungal genomes, and its results show substantial increases in sensitivity and selectivity over previous gene predictions.
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  • 9
    SUPERmerge

    SUPERmerge

    ChIP-seq coverage island analysis algorithm for broad histone marks

    SUPERmerge is a ChIP-seq read pileup analysis and annotation algorithm for investigating alignment (BAM) files of diffuse histone modification ChIP-seq datasets with broad chromatin domains at a single base pair resolution level. SUPERmerge allows flexible regulation of a variety of read pileup parameters, thereby revealing how read islands aggregate into areas of coverage across the genome and what annotation features they map to within individual biological replicates. ...
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  • 10
    RUbioSeq
    ...We present RUbioSeq+, a stand-alone and multiplatform application for the integrated analysis of NGS data. More specifically, our software implements pipelines for the analysis of single nucleotide and copy-number variation, bisulfite-seq and ChIP-seq experiments using well-established tools to perform these common tasks. RUbioSeq+ is free and includes all the core functionalities implemented in the original release of RUbioSeq (v3.2.1) but, also, outperforms and expands RUbioSeq capabilities supporting the parallelized analysis of full genomes in computing farms. ...
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  • 11
    MaxInfo

    MaxInfo

    Transcriptome assembler for RNA-seq

    MaxInfo is an automated transcript discovery and quantification software designing for high-throughput RNA sequencing (RNA-seq). Assembling transcripts from reads are challenging because of the unpredictable uncertainties arising from completing full genome structure with very partial observations. MaxInfo tackles this problem by explicitly reducing the inherent uncertainties in the biological system caused by missing information.
    Downloads: 1 This Week
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  • 12
    ViralFusionSeq [VFS]

    ViralFusionSeq [VFS]

    Accurately discover viral integration events and fusion transcripts

    VFS was fullly tested under Ubuntu/Debian system. ** Announcement 1**: VFS is superior to Virus-Clip. https://sourceforge.net/projects/viralfusionseq/files/VFS.vs.Virus-Clip.pdf/download As of 2016, VFS is the only viral integration tool available at NIH HPC system. https://hpc.nih.gov/apps/ViralFusionSeq/ ViralFusionSeq (VFS) is a versatile high-throughput sequencing (HTS) tool for discovering viral integration events and reconstruct fusion transcripts at single-base...
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  • 13
    INTEGRATE
    INTEGRATE: Calling gene fusions with exact fusion junctions and genomic breakpoints by combining RNA-Seq and WGS data. To download source code, reference manual and test case, please go to 'Files'. Also refer to 'Wiki' for details.
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  • 14

    ISVASE

    identification of sequence variant associated with splicing event

    ...It is to be noted that about one third or a half of all disease-causing mutations effect RNA splicing. However, there is little bioinformatics tools to directly identify sequence variants associated with splicing events (SVASE) based on RNA-seq data. We developed ISVASE, a simple and convenient tool for identifying SVASE directly using RNA-seq data. Comparing with the existing software PVAAS, our method has several advantages such as stringent rule-depended filters and statistical filters in each step, detection sequence variants for known splicing events, identification sequence variants in two parts of splicing (junction) separately, detection junction shift events if providing known splicing annotation, evaluating splicing signal, comparing with known DNA mutation and/or RNA editing data, and short running time.
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  • 15
    CoverageAnalyzer

    CoverageAnalyzer

    RNA modification detection by RT signatures in deep sequencing data

    ...CoverageAnalyzer was developed in response to the demand for a powerful inspection tool, running on all 3 OSes. With SAM standard as input and an intuitive GUI, even non-experts can accomplish a variety of tasks, from visualization of RNA Seq data, up to sophisticated modification analysis with significance-based candidate calling.
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  • 16
    Phylobuntu is a software package that contains 37 software tools related to phylogenetic profile trees. Phylobuntu aims to provide a complete workstation for phylogenetic analysis
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  • 17
    riboFR-seq

    riboFR-seq

    A novel approach to linking 16S rRNA amplicon profiles to metagenomes

    ...Recently, numerous studies have employed these two approaches together, but downstream data analyses were performed separately, which always generated incongruent or conflict signals on both taxonomic and functional classifications. Here we propose a novel approach, RiboFR-Seq (Ribosomal RNA gene Flanking Region Sequencing), for capturing both ribosomal RNA variable regions and their flanking protein-coding genes simultaneously. We demonstrated that RiboFR-Seq could detect the vast majority of bacteria not only in well-studied microbiomes but also in novel communities with limited reference genomes. Combined with classical amplicon sequencing and shotgun metagenome sequencing, RiboFR-Seq can link the annotations of 16S rRNA and metagenomic contigs to make a consensus classification.
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  • 18

    PingPongPro

    Find ping-pong signatures like a pro

    ...A key question in ping-pong cycle research is identification of piRNAs which are amplified through the cycle. PingPongPro is a command-line tool for detecting ping-pong cycle activity in piRNA-Seq data. PingPongPro was developed at the Institute of Molecular Biology gGmbH in Mainz.
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  • 19
    EricScript
    Ericscript is a computational framework to detect gene fusions from paired end RNA-seq data with high sensitity and specificity.
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  • 20

    mRIN

    Assessing mRNA integrity directly from RNA-Seq data

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  • 21

    Jafaran

    Fast and more random implementations of java.util.Random.

    Jafaran (Java Fast Random) provides fast, and for some more random, implementations of java.util.Random, with additional nextXXX() methods, and methods to retrieve and restore state. The names of implementations contain "Conc" (for concurrent) if they are thread-safe and non-blocking, or "Seq" (for sequential) if they are not thread-safe. Also provides an implementation of Ziggurat algorithm (based on J. A. Doornik paper, 2005), used by nextGaussian() methods of the provided implementations. Requires Java 5 or later. Also available on github since 2015/12/13: https://github.com/jeffhain/jafaran Principal classes: - Implementations using Mersenne-Twister algorithm (good pseudo-randomness): MTSyncRNG MTSeqRNG - Implementations using Marsaglia Xor-Shift (fast): MXSIntSeqRNG (32 bits) MXSLongSeqRNG (64 bits) (nextLong() faster, larger period) - Ziggurat: Random-based implementation of Ziggurat algorithm.
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  • 22

    BamBam

    Tools for genomic analysis

    BamBam includes numerous tools for analyzing DNA next-generation sequencing data. Tools are provided for calling SNPs and indels, identifying large scale deletions, tabulating counts of mapped reads, methylation analysis, and more. Depends on SAMtools (http://samtools.sourceforge.net/) and BAMtools (https://github.com/pezmaster31/bamtools). Also uses BioPerl, which is included in the download tarball.
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  • 23
    olego

    olego

    OLego – short or long RNA-seq read mapping to discover exon junction

    OLego is a program specifically designed for de novo spliced mapping of mRNA-seq reads. OLego adopts a seeding and extension scheme, and does not rely on a separate external mapper. It achieves high sensitivity of junction detection by using very small seeds (12-14 nt), efficiently mapped using Burrows-Wheeler transform (BWT) and FM-index. This also makes it particularly sensitive for discovering small exons.
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  • 24

    came

    Identification of chromatin accessibility from NOMe-seq

    ...Open chromatin regions allow regulatory elements such as transcription factors and polymerases to bind for gene expression while closed chromatin regions prevent the activity of transcriptional machinery. Recently, nucleosome occupancy and methylome sequencing (NOMe-seq) has been developed for simultaneously profiling of chromatin accessibility and DNA methylation on single molecules. However, there is no computational method for analyzing NOMe-seq data. Results: In this article, we present CAME, a seed-extension based approach that identifies chromatin accessibility from NOMe-seq. The efficiency and effectiveness of CAME were demonstrated through comparisons with other existing techniques on both simulated and real data, and the results show that our method not only can precisely identify chromatin accessibility but also outperforms other methods.
    Downloads: 1 This Week
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  • 25

    SAT-Assembler

    Scalable and accurate targeted gene assembly for large-scale NGS data

    SAT-Assembler is a scalable and accurate gene assembly tool for large-scale RNA-Seq and metagenomic data. It recovers genes from gene families of particular interest to biologists with high coverage, low chimera rate, and extremely low memory usage compared with exiting gene assembly tools. Moreover, it is naturally compatible with parallel computing platforms.
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