Search Results for "miarma-seq"
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Showing 40 open source projects for "miarma-seq"
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1
kallisto
Near-optimal RNA-Seq quantification
kallisto is a program for near-optimal quantification of transcript abundances from RNA-Seq data, or more generally of target sequences using high-throughput sequencing reads. It is based on the idea of using pseudoalignment to quickly determine reads and targets’ compatibility, with no need for alignment. According to benchmarks done on a Mac desktop computer, kallisto can quantify 30 million human bulk RNA-seq reads in less than 3 minutes with just the read sequences and a transcriptome index, that in itself can take more than 10 minutes to build. ... -
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Bowtie 2
A fast and sensitive gapped read aligner
...Bowtie 2 outputs alignments in SAM format and includes companion utilities for building and inspecting indexes. It is widely used in bioinformatics pipelines for RNA-seq, DNA-seq, metagenomics, variant analysis, and other sequencing-based research tasks. Overall, Bowtie 2 remains a foundational command-line tool for high-throughput sequence alignment and reproducible computational biology workflows. -
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BBMap
BBMap short read aligner, and other bioinformatic tools.
...It is written in pure Java, can run on any platform, and has no dependencies other than Java being installed (compiled for Java 6 and higher). All tools are efficient and multithreaded. BBMap: Short read aligner for DNA and RNA-seq data. Capable of handling arbitrarily large genomes with millions of scaffolds. Handles Illumina, PacBio, 454, and other reads; very high sensitivity and tolerant of errors and numerous large indels. Very fast. BBNorm: Kmer-based error-correction and normalization tool. Dedupe: Simplifies assemblies by removing duplicate or contained subsequences that share a target percent identity. ... -
4
CStone
Short-read de novo assembler that identifies chimeric contigs.
> CStone wiki: https://sourceforge.net/p/cstone/wiki/Home/ Related Software: 1. CStone: (See wiki) 2. CSReadGen: https://sourceforge.net/projects/csreadgen/ 3. CView: https://sourceforge.net/projects/cview/ 4. ChimSim: https://sourceforge.net/projects/chimsim/ 5. TVScript: https://sourceforge.net/projects/tvscript/ 6. SeQuester: https://sourceforge.net/projects/sequester/ 7. TreeScope: https://sourceforge.net/projects/treescope/ -
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COHCAP
City of Hope CpG Island Analysis Pipeline
COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub. 2) In addition to the original NAR paper, please see the following links: Benchmarks: http://www.nature.com/protocolexchange/protocols/2965#/introduction Protocol Exchange Files: http://sourceforge.net/projects/cohcap/files/Protocol_Exchange_Example.zip 3) Custom Annotation Files (including EPIC Array): https://sourceforge.net/projects/cohcap/files/additional_Bioconductor_annotations.zip/download -
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CusVarDB
CusVarDB generated variant protein database from NGS-datasets
CusVarDB is a windows based tool for creating a variant protein database from Next-generation sequencing datasets. The program supports variant calling for Genome, RNA-Seq and ExomeSeq datasets. The program performs mainly 4 modules 1. Align the datasets with reference database 2. Perform the variant calling using Genome Analysis Toolkit (GATK) 3. Annotate the variant using ANNOVAR 4. Create the variant protein database Apart from the main modules, the program also supports additional functions such as 1. ... -
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gogadget
A toolbox for interpretation and visualization of RNA-seq GO analysis
gogadget is an R package, and can help with the visualization and interpretation of GO enrichment analysis of RNA-seq data. It is developed especially for the use in combination with goseq. The functions that are available in this package are extensively described in the user's guide. To install the package download the "gogadget_2.1.tar.gz" file, open R and install with the following line: install.packages( "C:/your/directory/gogadget_2.1.tar.gz", repos = NULL, type="source") The package was made in R 3.4.2 on a Windows 7 computer, and is also tested on Ubuntu. ... -
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fourSig
Analyze 4C-seq data.
fourSig is a suite of programs for analyzing and visualizing 4C-seq data. -
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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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10
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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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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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. -
13
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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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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Ericscript is a computational framework to detect gene fusions from paired end RNA-seq data with high sensitity and specificity.
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HeatmapGenerator is a graphical user interface software program written in C++, R, and OpenGL to create customized gene expression heatmaps from RNA-seq and microarray data in medical research. HeatmapGenerator can also be used to make heatmaps in a variety of other non-medical fields. HeatmapGenerator is peer-reviewed published software (http://www.scfbm.org/content/9/1/30). Please cite: [Khomtchouk et al.: "HeatmapGenerator: High performance RNAseq and microarray visualization software suite to examine differential gene expression levels using an R and C++ hybrid computational pipeline." ...
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17
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. -
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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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BIRAP
Bacterial Intergenic Region Analysis Pipeline
BIRAP (Bacterial Intergenic Region Analysis Pipeline) is an open source, easy to use Perl pipeline that can be used to re-annotate bacterial genomes using experimental data. The tool integrates expression profile derived from RNA-seq and/or proteogenomics, compares it with existing in silico annotation and helps validate annotation, identify novel protein coding regions, putative non-coding RNA as well as help correct er-rors in the existing annotation. The pipeline requires “pileup” output from SAMtools for RNA-seq data and peptide/ePST locus file (GFF) from the Proteogenomic Mapping tool for prote-ogenomics data along with the genome and existing in silico annotation. ... -
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PRADA
PRADA : Pipeline for RNA-Sequencing Data Analysis
Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. PRADA currently supports 7 modules to process and identify abnormalities from RNAseq data: preprocess: Generates aligned and recalibrated BAM files. ... -
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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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Protospacer
Rapid gRNA design and validation for CRISPR
...From here, users are able to evaluate potential off targeting, to export results in FASTA format or tabulated (e.g. for Microsoft Excel), and to connect to the Integrative Genomics Viewer (IGVref) and view target-sites in the context of genomic annotations, amino acid translations, and HT-Seq data (for off-target validation). We provide online video tutorials and a toy database from our main website. -
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Deem
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional currently. ... -
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MendelChecker
QC for variant discovery from next gen sequence in pedigrees
...We developed this method as a quality control measure for novel variant discovery from noisy next-generation sequencing data in pedigrees, such as Restriction site-associated DNA Sequencing (RAD-seq) in non-model organisms. This method implements comparison of heterogametic vs. homogametic transmission, i.e., sex linked vs. autosomal segregation. -
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FineSplice
Enhanced splice junction detection and estimation from RNA-Seq data
FineSplice is a Python wrapper to TopHat2 geared towards a reliable identification of expressed exon junctions from RNA-Seq data, at enhanced detection precision with small loss in sensitivity. 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. ...
