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75 public repositories
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🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
Nanopore sequence read simulator
Updated
Sep 17, 2021
Python
Building classifiers using cancer transcriptomes across 33 different cancer-types
Updated
Apr 30, 2019
Jupyter Notebook
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
The START App: R Shiny Transcriptome Analysis Resource Tool
Updated
Nov 11, 2020
HTML
Technology agnostic long read analysis pipeline for transcriptomes
Updated
Sep 7, 2021
Python
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
Genome Annotation Without Nightmares
Reference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing
de novo assembly of RNA-seq data using ABySS
Updated
Jan 20, 2020
Python
UNDER DEVELOPMENT--- Analysis of long non-coding RNAs from RNA-seq datasets
Updated
Jul 13, 2021
Nextflow
Evolutionary Transcriptomics with R
A Python library to visualize and analyze long-read transcriptomes
Updated
Aug 31, 2021
Jupyter Notebook
De novo clustering of long transcript reads into genes
Updated
Apr 3, 2021
Python
Software for measuring poly(A) tail length and 3′-end modifications using a high-throughput sequencer
TreeExp 2.0: Toolbox for analyzing expression evolution based on RNA-seq count data
AnceTran2.0: R package for transcriptome evolution analysis based on RNA-seq expression data or ChIP-seq TF-binding data
A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.
Updated
May 19, 2021
HTML
Derives consensus sequences from a set of long noisy reads by clustering and error correction.
Updated
Jul 20, 2021
Python
Deconvolution of transcriptome through Immune Component Analysis
Updated
Oct 16, 2018
MATLAB
A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.
Updated
Jul 13, 2020
HTML
Various tutorials on how to analyse transcriptomic data.
Updated
May 11, 2021
HTML
This repository contains CWL descriptions of the various tools which will allow you to build workflows for the annotation of transcripts
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.
Updated
Mar 20, 2018
Python
RefEx: a reference gene expression dataset of mammalian tissues and cell lines measured by different methods
Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
Updated
Jun 2, 2021
Jupyter Notebook
Sondovač is a script to create orthologous low-copy nuclear probes from transcriptome and genome skim data for target enrichment. For latest version check "releases".
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Use textwrap.dedent instead of breaking indenting for long strings
https://docs.python.org/3/library/textwrap.html#textwrap.dedent