Search Results for "miarma-seq" - Page 7
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Showing 225 open source projects for "miarma-seq"
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pvaas
Program to identify Variants Associated with Aberrant Splicing
...About 15-60% of human disease-causing mutations affect mRNA splicing rather than directly affecting coding sequences (López-Bigas, et al 2005, Krawczak M, et al, 1992). Deep transcriptome sequencing (RNA-seq) provides ability to interrogate both aberrant splicings and mutations simultaneously. PVAAS (Program to identify Variants Associated with Aberrant Splicing) is such program to identify causative mutations that impact RNA splicing. -
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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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GIIRA
RNA-Seq driven gene finding incorporating ambiguous reads
GIIRA is a gene prediction method that identifies potential coding regions exclusively based on the mapping of reads from an RNA-Seq experiment. It was foremost designed for prokaryotic gene prediction and is able to resolve genes within the expressed region of an operon. However, it is also applicable to eukaryotes and predicts exon intron structures as well as alternative isoforms. -
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DeSQ
Seq: Gestore di processi sequenziali con esecuzione da smartphone
Progetto del corso di Ingegneria del software, Università degli Studi di Padova aa 2013/14 Gruppo DeSQ -
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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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CHANCE-HT
ChIP-seq data pre-processing software
CHANCE-HT is a ChIP-seq pre-processing software that filters samples with weak IP-strength, identifies heavily biased control experiments and under sequenced samples, detects batch effects, and normalizes large ensembles of ChIP-seq datasets. CHANCE-HT uses a parallel processing approach to normalize and filter large collections of ChIP-seq datasets in tandem. -
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deFuse is a software package for gene fusion discovery using RNA-Seq data. deFuse .tar.gz bundles will be released periodically on the sourceforge site, see Files. Questions can be posted to the sourceforge discussion forum. The sourceforge wiki is depracated in favour of documentation included with the package. Development of deFuse is on the bitbucket site, linked below.
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This page contains the necessary software to characterize mappability of RNA-Seq reads and create a "blacklist" of genomic positions of mismapped reads. This blacklist can be used to filter potential false positives from variant or RNA editing calls. This software is described in "BlackOPs: Increasing Confidence in Variant Detection through Mappability Filtering" by CR Cabanski et al. Please cite this article if you use our software or available blacklists in your own analysis.
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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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snpSniffer
snpSniffer is a sample integrity checking tool for NGS data
-- About snpSniffer -- snpSniffer is a genotype based sample integrity checking tool for next generation sequencing data. It ensures no sample mixups have occurred by checking genotype concordance of carefully curated genomic loci. It currently works on whole genome, exome and RNA-Seq data. Identifying mixups involves 3 steps 1. Generate the genotypes in a vcf format at specific genomic loci 2. Adding the genotypes generated to a flat file "database.ini" provided 3. Compare the genotypes for samples of interest, examine the snpSniffer output and infer if any mixups occurred All the above steps can be run using snpSniffer -
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DNase2Hotspots
This software identifies tag-enriched regions(hotspots) from DNase-seq
DNase2Hotspots is a software package for identifying tag-enriched genomic regions (hotspots) from the DNase-Seq genomic data. This program reads a BAM (Binary Alignment/Map) file or tab-delimited text files as input and produces a list of hotspot candidates and associated z-scores as output. Mappability profiles for the reference genome and genomic regions of repeat maskers are also required as input. -
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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. ... -
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AS-peak
ASPeak: an abundance sensitive peak detection algorithm for RIP-Seq
Unlike DNA, RNA abundances can vary over several orders of magnitude. Thus identification of RNA-protein binding sites from high throughput sequencing data presents unique challenges. While peak identification in CHIP-Seq data has been extensively explored, there are few bioinformatics tools tailored to peak calling on the analogous datasets for RNA-binding proteins. Here we describe ASPeak, an implementation of an algorithm that we previously applied to detect peaks in Exon Junction Complex (EJC) RNA immunoprecipitation in tandem (RIPiT) experiments. ... -
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BriPy
A BRIC-seq data analysis package written in Python.
-What is BRIC-seq? BRIC-seq, short for 5'-bromo-uridine (BrU) immunoprecipitation chase-deep sequencing analysis, is a novel method in Next Generation Sequencing (NGS) to determine the RNA stability of each transcript. It employs metabolic labeling by BrU of newly synthesized RNAs to chase chronological decreases of BrU-labeled RNA (Pulse-chase labeling), followed by immunoprecipitation with antibody for BrU, construction of cRNA library for High-throughput sequencing and computational data analysis. ... -
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This package contains code for use with Short Read DNA Sequencing technologies, and includes packages for ChIP-Seq, Whole Transcriptome Shotgun Sequencing, Whole Genome Shotgun Sequencing, SNP Detection, Transcript expression and file conversion.
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FOCIS
FOCIS finds features for functional follow-up
FOCIS (Feature Overlapper for Chromosomal Interval Subsets) performs an interval-based screen of a database of genomic features – ChIP-seq peaks, motif matches, and others – for overlap enrichment at a specific subset of genomic regions relative to a dataset-matched background. It was recently used to discover a novel enhancer that mediates drug resistance in melanoma. -
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OrthoRBH
Rapidly identify orthologous cDNA sequences in related species
OrthoRBH is a tool/pipeline designed to identify families of protein coding transcripts/genes in related species using a reciprocal blast method. It can search through databases of full-length cDNAs, ESTs or mRNA-seq data. Optional assembly of candidate sequences allows assembly of contigs. It is suited to handling a mixture of EST and mRNA-seq sequence data. It performs batch blast searches, so it is ideal for large multi-gene families. After collecting candidate sequences, it performs sequence alignment and deposits sequences into a fasta sequence file for downstream molecular evolutionary analysis. -
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...PennCNV-2 now supports inference of copy number abberrations in tumor cells (PennCNV-tumor). New functionality for inference of copy number variation using next gen sequencing data is under development (PennCNV-Seq). The software is written in C++ and targeted for unix/linux platforms.
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Bioinformatic tools for analyzing an orfeome using translated ORFs and compares each ORF to the provided Orfeome/Proteome. Our script uses NCBI BLAST run locally and MySQL as the main engines in a new and interisting way. It is designed specifically for Poxvirus genomes, and provides the VACV-COP nomenclature and Cowpox Ortholog groups per each ORF. The BLAST stats are generated when compared to the Proteome you provide. It can be easily adapted for other genomes.
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GENE-counter is a computational pipeline for analyzing RNA-Sequencing (RNA-Seq) data for differential gene expression of eukaryotes, prokaryotes, as well as organisms with no available genome reference sequence.
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TFAST
Software for analysis of afSELEX-seq data
Transcription Factor Analysis using SELEX with High-Throughput Sequencing (TFAST) is software developed by the Mobley lab at the University of Michigan designed to assist with transcription factor binding site discovery using data generated from aptamer-free SELEX-seq (afSELEX-seq). -
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Webapp
A web interface to the SnowyOwl gene prediction pipeline
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Arpeggio
Harmonic analysis of ChIP-seq experiments
...Data compression techniques are needed for efficient comparisons of a new genomic experiment to large repositories of publicly available profiles. Arpeggio allows us to efficiently compare numerous ChIP-seq datasets consisting of many types of DNA-binding proteins collected from a variety of cells, conditions and organisms. Importantly, these interaction patterns broadly reflect the biological properties of the binding events. To generate these profiles, termed Arpeggio profiles, we applied harmonic deconvolution techniques to the autocorrelation profiles of the ChIP-seq signals. ... -
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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
