RNA-Seq De novo Assembly Using Trinity
Trinity, developed at the Broad Institute and the Hebrew University of Jerusalem, represents a novel method for the efficient and robust de novo reconstruction of transcriptomes from RNA-seq data. Trinity combines three independent software modules: Inchworm, Chrysalis, and Butterfly, applied seq...Tags: Bioinformatics, NGS, RNA-seq, Assembly, Trinity, Illumina
2956 days ago
Scallop: reference-based transcriptome assembler for RNA-seq
Scallop is an accurate reference-based transcript assembler. Scallop features its high accuracy in assembling multi-exon transcripts as well as lowly expressed transcripts. Scallop achieves this improvement through a novel algorithm that can be proved preserving all phasing paths from reads and p...Tags: Scallop, reference-based, transcriptome, assembler, RNA-seq, Tools
2180 days ago
RNA-seq Analysis Workshop Course Materials
RNAseq can be roughly divided into two "types": Reference genome-based - an assembled genome exists for a species for which an RNAseq experiment is performed. It allows reads to be aligned against the reference genome and significantly improves our ability to reconstruct transcripts. This cate...Tags: RNA-seq, Analysis, Workshop, Course, Materials, NGS
2123 days ago
Tags: NCBI, Magic-BLAST, Documentation, RNA-seq, Mapping, BLAST
2081 days ago
BioJupies: Automatically Generates RNA-seq Data Analysis Notebooks
With BioJupies you can produce in seconds a customized, reusable, and interactive report from your own raw or processed RNA-seq data through a simple user interface BioJupies now supports user accounts! Sign in from the top right corner of the page for access to unlimited private notebooks, RNA-...Tags: BioJupies, Automatically, Generates, RNA-seq, Data, Analysis, Notebooks
1222 days ago
Rcorrector: efficient and accurate error correction for Illumina RNA-seq reads
Rcorrector has an accuracy higher than or comparable to existing methods, including the only other method (SEECER) designed for RNA-seq reads, and is more time and memory efficient. With a 5 GB memory footprint for 100 million reads, it can be run on virtually any desktop or server. The software ...Tags: Rcorrector, efficient, accurate, error, correction, Illumina, RNA-seq, reads
1542 days ago
Modular, efficient and constant-memory single-cell RNA-seq preprocessing
With kallisto | bustools you can Generate a cell x gene or cell x transcript equivalence class count matrix Perform RNA velocity and single-nuclei RNA-seq analsis Quantify data from numerous technologies such as 10x, inDrops, and Dropseq. Customize workflows fo...Tags: Modular, efficient, constant, memory, single-cell, RNA-seq, preprocessing, bustool, kallisto
1116 days ago
Tags: LncPipe, Nextflow, pipeline, comprehensive, analyses, long, non-coding, RNAs, RNA-seq, datasets
952 days ago
RNA-seq workflow: gene-level exploratory analysis and differential expression
Here we walk through an end-to-end gene-level RNA-seq differential expression workflow using Bioconductor packages. We will start from the FASTQ files, show how these were quantified to the reference transcripts, and prepare gene-level count datasets for downstream analysis. We will perform explo...Tags: RNA-seq, workflow, gene-level, exploratory, analysis, differential, expression
929 days ago
Encode sequencing data freely available to download and use for academic means
In Encode, regulatory elements investigated via DNA hypersensitivity assays, assays of DNA methylation, and chromatin immunoprecipitation (ChIP) of proteins that interact with DNA, including modified histones and transcription factors, followed by sequencing (ChIP-Seq). More information: h...Tags: Encode, UCSC, genome browser, Sequencing, RNA-Seq, Chip-Seq, Epigenomics, Methylation, histone modification, regulatory elements, HMM
3696 days ago