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Name: Max Emil Schön
Type: User
Location: Uppsala, Sweden
Name: Max Emil Schön
Type: User
Location: Uppsala, Sweden
Amalgamated likelihood estimation (ALE) is a probabilistic approach to exhaustively explore all reconciled gene trees that can be amalgamated as a combination of clades observed in a sample of gene trees. We implement the ALE approach in the context of a reconciliation model (cf. http://arxiv.org/abs/1211.4606 ), which allows for the duplication, transfer and loss of genes. We use ALE to efficiently approximate the sum of the joint likelihood over amalgamations and to find the reconciled gene tree that maximizes the joint likelihood among all such trees.
nextflow pipeline to automate analysis using ALE (https://github.com/ssolo/ALE)
Conda recipes for the bioconda channel.
Pipeline to characterize and analyse fungal microbiomes
Scripts and commands for the publication 'Host generalists dominate fungal communities associated with alpine knotweed roots: a study of Sebacinales'
Python package for building, comparing, annotating, manipulating and visualising trees. It provides a comprehensive API and a collection of command line tools, including utilities to work with the NCBI taxonomy tree.
FUNGuild: parsing OTUs into functional guilds
Lesson on archaeology with Git.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
MEGAN Community Edition
Ultrafast de novo assembly for long noisy reads (though having no consensus step)
Scripts associated with the paper 'Ectomycorrhizal fungal communities in andean-patagonian Nothofagus forests'
screening metagenomes for arbitrary lineages, using gene-centric assembly methods and phylogenetics
Benchmarks for https://github.com/maxemil/PhyloMagnet
PhyloXML inspired format to represent reconciliations
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.