gggenes: a ggplot2 extension for drawing gene arrow maps.
Install the stable version of gggenes from CRAN: install.packages("gggenes") If you want the development version, install it from GitHub: devtools::install_github("wilkox/gggenes") More at https://github.com/wilkox/gggenes1475 days ago
The wavefront alignment (WFA) algorithm
...ncies that can be easily vectorized, even by the automatic features of modern compilers, for different architectures, without the need to adapt the code.1449 days ago
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mixtureS: a novel tool for bacterial strain reconstruction from reads
..., mixtureS showed better performance in almost all simulated datasets and the vast majority of experimental datasets. Availability The source code and tool mixtureS is availabl...1395 days ago
chromatiblock: Scalable, whole-genome visualisation of structural changes in prokaryotes
To create a fresh environment for chromatiblock to run in do: conda create --name chromatiblock conda activate chromatiblock conda install chromatiblock --channel c...1392 days ago
G-NEST: The Gene NEighborhood Scoring Tool
The Gene NEighborhood Scoring Tool (G-NEST) combines genomic location, gene expression, and evolutionary sequence conservation data to score putative gene neighborhoods across all window sizes. Primary author of final code = William F. Martin. Example data files are in the separate repository.1359 days ago
Updated science-wide author databases of standardized citation indicators
...the end of 2019 (Table-S6-career-2019) and for citation impact during the single calendar year 2019 (Table-S7-singleyr-2019). Updated databases and code are freely available in Mende...1308 days ago
CoverM: Read coverage calculator for metagenomics
CoverM aims to be a configurable, easy to use and fast DNA read coverage and relative abundance calculator focused on metagenomics applications. CoverM calculates cov...1143 days ago
AutoGluon: AutoML for Text, Image, and Tabular Data
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, image, and tabular data.1256 days ago