There are 3 repositories under transcriptome topic.
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
Technology agnostic long read analysis pipeline for transcriptomes
GET_HOMOLOGUES: a versatile software package for pan-genome analysis
Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
pcaExplorer - Interactive exploration of Principal Components of Samples and Genes in RNA-seq data
A Python library to visualize and analyze long-read transcriptomes
Genome Annotation Without Nightmares
de novo assembly of RNA-seq data using ABySS
A genome annotation pipeline that use short and long sequencing reads alignments from animal genomes
Software for measuring poly(A) tail length and 3′-end modifications using a high-throughput sequencer
Demultiplexing and debarcoding tool designed for LR-Split-seq data.
Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
TrendCatcher is an open source R-package that allows users to systematically analyze and visualize time course data. Please cite "Temporal transcriptomic analysis using TrendCatcher identifies early and persistent neutrophil activation in severe COVID-19" by Xinge Wang et al published in JCI Insight (2022) - https://insight.jci.org/articles/view/157255
Various tutorials on how to analyse transcriptomic data.
Snakemake workflow to run transdecoder + trinotate
An application for exploring and visualizing differential gene expression data created with DESeq2
Deconvolution of transcriptome through Immune Component Analysis
We use two kinds of neural networks: Multilayer Perceptron (MLP) and Recurrent Neural Network (RNN) to predict the single-cell cycle stage based on transcriptome data.
This repository contains CWL descriptions of the various tools which will allow you to build workflows for the annotation of transcripts
orthomap is a python package to extract orthologous maps (in other words the evolutionary age of a given orthologous group) from OrthoFinder/eggNOG results. Orthomap results (gene ages per orthogroup) can be further used to calculate weigthed expression data (transcriptome evolutionary index) from scRNA sequencing objects.