Search Results for "miarma-seq"
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Showing 13 open source projects for "miarma-seq"
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1
awesome-single-cell
Community-curated list of software packages and data resources
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Rapid, accurate and memory-frugal preprocessing of single-cell and single-nucleus RNA-seq data. Find bimodal, unimodal, and multimodal features in your data. Ascend is an R package comprised of fast, streamlined analysis functions optimized to address the statistical challenges of single cell RNA-seq. ... -
2
harmonypy
Integrate multiple high-dimensional datasets with fuzzy k-means
...Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell datasets such as single-cell RNA-seq. -
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QuiclickRNAseq
An integrated pipeline for RNA-seq analysis
Quiclick is a python framework for RNA-seq data analysis, including data trimming, mapping, counting and RNA editing analysis. -
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Harmony Data Integration
Fast, sensitive and accurate integration of single-cell data
Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell datasets such as single-cell RNA-seq. Harmony has been tested on R versions =4. Please consult the DESCRIPTION file for more details on required R packages. Harmony has been tested on Linux, OS X, and Windows platforms. -
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QuickRNASeq
A pipeline for large scale RNA-seq data analysis
We have implemented QuickRNASeq, an open-source based pipeline for large scale RNA-seq data analysis. QuickRNASeq takes advantage of parallel computing resources, a careful selection of previously published algorithms for RNA-seq read mapping, counting and quality control, and a three-stage strategy to build a fully automated workflow. We also implemented built-in functionalities to detect sample swapping or mislabeling in large-scale RNA-seq studies. -
6
Zika-RNAseq-Pipeline
An open RNA-Seq data analysis pipeline tutorial
RNA-seq analysis is becoming a standard method for global gene expression profiling. However, open and standard pipelines to perform RNA-seq analysis by non-experts remain challenging due to the large size of the raw data files and the hardware requirements for running the alignment step. Here we introduce a reproducible open source RNA-seq pipeline delivered as an IPython notebook and a Docker image. -
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SampleSpecificDBGenerator
Generates custom UniProt-XML databases from RNA-Seq data
SampleSpecificDBGenerator is a program that takes RNA sequencing data analysis results and translates them into protein database entries that are appended to a UniProt-XML file. This XML is condensed, meaning that much of the extraneous author information in UniProt-XMLs is removed for faster search times in Morpheus. Please cite http://pubs.acs.org/doi/abs/10.1021/acs.jproteome.5b00817. -
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HBS-tools
a set of tools for hairpin bisulfite-seq data analysis
The emerging genome-wide hairpin bisulfite sequencing technique facilitates the determination of DNA methylation fidelity and accurate methylation calling. Here we present HBS analyzer, the first command line based open-source tool to process genome-wide hairpin bisulfite sequencing data. It accepts Illumina paired-end sequencing reads as input, performs alignment to recover the original (pre-bisulfite-converted) DNA sequences and calls methylation status for cytosines on both DNA strands. -
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jChIP
Graphical environment for exploratory ChIPSeq data analysis
jChIP is a GUI-based Java application for ChIP-Seq data analysis. It was created to build binding profiles between proteins and loci in the genome. In addition it computes statistics of the number of loci/positions containing specified amount of tags. jChIP is able to load data in several common formats (SAM, BAM, WIG, BED, Bowtie) and download loci definitions directly from the Ensembl database. -
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10
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. ... -
11
COV2HTML
A visualization and analysis tool of Bacterial NGS data for Biologists
...(ii) COV2HTML, a visualization interface allowing a real-time analysis of data with selected criteria. Thus this interface offers a visualization of NGS mapping coverage data (DNA-seq, RNA-seq, ChIP-seq and TSS) performed in different prokaryotic organisms (bacteria, viruses...) or different experimental conditions (mutant versus wild type strains or different growth states…) facilitating studies. -
12
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. ... -
13
GLMNB
GLMNB: a shape-based peak calling tool for ChIP-Seq data analysis
This is the beta-version of a shape-based peak calling tool for ChIP-Seq data analysis. It is built using Generalized Linear Model with Negative binomial distribution. This tool accounts for the common peak shape, local variability of peak shifting distance and negative binomial background noise.
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