Search Results for "miarma-seq"
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28 projects for "miarma-seq" with 2 filters applied:
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Subread
High-performance read alignment, quantification and mutation discovery
The Subread software package is a tool kit for processing next-gen sequencing data. It includes Subread aligner, Subjunc exon-exon junction detector and featureCounts read summarization program. Subread aligner can be used to align both gDNA-seq and RNA-seq reads. Subjunc aligner was specified designed for the detection of exon-exon junction. For the mapping of RNA-seq reads, Subread performs local alignments and Subjunc performs global alignments. Subread and Subjunc were published in the following paper: Yang Liao, Gordon K Smyth and Wei Shi. "The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote", Nucleic Acids Research, 2013, 41(10):e108 -
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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. ... -
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FusionCatcher
Somatic fusion-genes finder for RNA-seq data
FusionCatcher searches for novel/known somatic fusion genes, translocations, and chimeras in RNA-seq data (paired-end reads from Illumina NGS platforms like Solexa and HiSeq) from diseased samples. The aims of FusionCatcher are: - very good detection rate for finding candidate fusion genes, - very easy to use (i.e. no a priori knowledge of databases and bioinformatics is needed in order to run FusionCatcher), - very good detection of challenging fusion genes, like for example IGH fusions, CIC fusions, DUX4 fusions, CRLF2 fusions, TCF3 fusions, etc... -
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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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epidaurus
tumor epigenetic database
Epidaurus is a collection of epigenetic datasets including transcription factor ChIP-seq, histone ChIP-seq, DNase-seq, FAIRE-seq, DNA methylation, etc. It also includes commonly used genome features (GC content, conservation) and RNA-seq. A user friendly interface has been developed to interrogate and visuzlize these datasets. -
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The ChIP-Seq software provides methods for the analysis of ChIP-seq data and other types of mass genome annotation data. The most common analysis tasks include positional correlation analysis, peak detection, and genome partitioning into signal-rich and signal-depleted regions.
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bspipe
An End-to-End Analysis Pipeline for BS-seq
BSpipe is a comprehensive pipeline from sequence quality control and mapping to functional analysis of differentially methylated regions: (1) sequencing quality assessment, (2) sequence cleaning, (3) sequence read mapping, (4) methylation quantification, (4) sample comparisons based on methylation profile, (5) identification of DMRs (differentially methylated regions), (6) annotation of DMRs, (7) functional analysis of differentially methylated genes, (8) generation of input files for visualization, and (9) support for advanced sequencing technologies such as TAB-seq, OxBS-seq, MAP-it, and NOMe-seq. -
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Genobuntu
Genobuntu Package for Next Generation Sequencing
Genobuntu is a software package containing more than 70 software and packages oriented towards NGS. In its current version, Genobuntu supports pre assembly tools, genome assemblers as well as post assembly tools. Commonly used biological software and example script files for different assembly pipelines have also been provided, where the example script files can be updated to suit one’s experimental needs. Genobuntu attempts to reduce the amount of time and energy needed to build ... -
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...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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Ericscript is a computational framework to detect gene fusions from paired end RNA-seq data with high sensitity and specificity.
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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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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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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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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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Transcriptome assembly ORA
Reference-based transcriptome reconstruction software
Sofware for reference-based transcriptome reconstruction. It performs reconstruction starting from short reads obtained from RNA-seq. It is best suited to manage the transcriptomes of lower eukaryotes with a low number of introns per gene and it can be used also for procariotes. It needs a SAM file with the reads aligned on the reference genome and (optional) a gff file with the position of genes on the reference genome. It provides in output the positions of the transcripts identified, the transcripts names based on the genes present on the gff file anf the size of UTR regions. -
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QUASI is a toolkit to rapidly assess the quality of shRNA-Seq based data and call differential abundance using common statistical inference methods (DESeq, edgeR, baySeq).
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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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Tuque
Tools for mapping RNA-Seq reads to eukaryotic genomes
Tuque includes 4 programs: tuqueIndex to prepare Bowtie indexes that include spliced sequences tuqueMap to map reads using the prepared indices tuqueSplice to find splice junctions from the reads tuqueCount to count the reads mapping within annotated sequence intervals -
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Pop-seq
Population simulator to solve next generation sequencing questions
Pop-seq is a perl based simulation tool, for generating any kind of mapping population using an user defined recombination landscapes. Combined with the Seq-sim tool you can generate pooled or bar-coded next generation sequencing biased outcomes. This tool were used to solve reappearing question in a experimental design (e. g. of how many plants or sequencing depth is advisable in a back crossed or out crossed scenario ) -
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rTRM
Identification of transcriptional regulatory modules (TRMs)
This R package can be used to identify TRMs using experimental evidence from a single ChIP-seq experiment. It combines computational predicted transcription factor (TF) binding sites, gene expression and protein-protein interaction (PPI) data and use it to predict TRMs. -
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rnasimulase
Simulation of allele-specific RNA-seq data
Simulation of allele-specific RNA-seq data -
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MspJI-seq_pipeline1.0
an pipeline for MspJI-digesting sequencing in DNA methylation study
...Modification-dependent restriction endonuclease MspJI digestion coupled with next generation sequencing could estimate the methylation state of "CNNR" Cytosine location in the genome by mapping high throughput reads to the reference sequences. MspJI-seq_pipeline1.0 is designed to be a general-purpose mapping program to handle these special characteristics of MspJI-seq. Its alignment is based on the open source program SOAP (Short Oligo Alignment Program), and mCNNR sites recognition is performed by regular expression in perl. -
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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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Seurat
A sequence analysis tool for normal/tumor DNA and RNA data.
THIS IS NO LONGER THE HOME FOR SEURAT. PLEASE GO TO https://sites.google.com/site/seuratsomatic/ --- Seurat is an sequence analysis program for somatic mutation and allelic imbalance discovery in paired tumor and normal genome and transcriptome data. -
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