http://mgcv.cmbi.ru.nl/ - MGcV is an interactive web-based visalization tool tailored to facilitate small scale genome analysis. To start using MGcV:
Supply your genes/genomic segments/phylogenetic tree of interest in the input-box by
selecting the type of identifier...
github.com - KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT:
hist: Create an histogram of k-mer occurrences from a sequence file. Adds metadata in...
github.com - DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation...
github.com - ProteoClade is a Python library for taxonomic-based annotation and quantification of bottom-up proteomics data. It is designed to be user-friendly, and has been optimized for speed and storage requirements.
ProteoClade helps you analyze two...
master.bioconductor.org - 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...
the sequenced reads can be mapped to the organism’s genes to assess how differently the genes are expressed under the experimental circumstances as opposed to the control scenario. This is known as differential expression (DE) analysis
bactopia.github.io - Bactopia is a flexible pipeline for complete analysis of bacterial genomes. The goal of Bactopia is process your data with a broad set of tools, so that you can get to the fun part of analyses quicker!
Bactopia was inspired by Staphopia, a...
The group studies a broad range of animal taxa using morphological and molecular tools to unravel the evolution and development of animal organ systems.
To understand the evolution of the biodiversity seen on planet earth is one of the major...
TIP: By default, environments are installed into the envs directory in your conda directory. Run conda create --help for information on specifying a different path.
Use the Terminal or an Anaconda Prompt for the...
github.com - AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models on text,...