All Projects → Gaius-Augustus → Augustus

Gaius-Augustus / Augustus

Genome annotation with AUGUSTUS

Projects that are alternatives of or similar to Augustus

companion
This repository has been archived, currently maintained version is at https://github.com/iii-companion/companion
Stars: ✭ 21 (-83.72%)
Mutual labels:  annotation, genome
Genometools
GenomeTools genome analysis system.
Stars: ✭ 186 (+44.19%)
Mutual labels:  annotation, genome
Mind
A neural network library built in JavaScript
Stars: ✭ 1,466 (+1036.43%)
Mutual labels:  prediction
Machinelearning
An easy neural network for Java!
Stars: ✭ 122 (-5.43%)
Mutual labels:  prediction
Router
🍭灵活的组件化路由框架.
Stars: ✭ 1,502 (+1064.34%)
Mutual labels:  annotation
Nova
NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.
Stars: ✭ 110 (-14.73%)
Mutual labels:  annotation
Geoblacklight
Discovery platform for GIS data.
Stars: ✭ 116 (-10.08%)
Mutual labels:  discovery
Seldon Server
Machine Learning Platform and Recommendation Engine built on Kubernetes
Stars: ✭ 1,435 (+1012.4%)
Mutual labels:  prediction
Yolo label
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet
Stars: ✭ 128 (-0.78%)
Mutual labels:  annotation
Web Annotation
Web Annotation Working Group repository, see README for links to specs
Stars: ✭ 112 (-13.18%)
Mutual labels:  annotation
Labelbox
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
Stars: ✭ 1,588 (+1131.01%)
Mutual labels:  annotation
Autoannotationtool
A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported
Stars: ✭ 113 (-12.4%)
Mutual labels:  annotation
Recogito2
Semantic Annotation Without the Pointy Brackets
Stars: ✭ 110 (-14.73%)
Mutual labels:  annotation
Face landmark factory
These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate the effect of newly-generated model easily.
Stars: ✭ 120 (-6.98%)
Mutual labels:  annotation
Discovery App React
A React.js based version of the Contentful Discovery app
Stars: ✭ 109 (-15.5%)
Mutual labels:  discovery
Http Router
🎉 Release 2.0 is released! Very fast HTTP router for PHP 7.1+ (incl. PHP8 with attributes) based on PSR-7 and PSR-15 with support for annotations and OpenApi (Swagger)
Stars: ✭ 124 (-3.88%)
Mutual labels:  annotation
Arduino core stm32
STM32 core support for Arduino
Stars: ✭ 1,725 (+1237.21%)
Mutual labels:  discovery
Googlemap
Google Map to use create path on map and play vehicle on path like Uber and Ola
Stars: ✭ 112 (-13.18%)
Mutual labels:  annotation
Ha Shellies Discovery
Script that adds MQTT discovery support for Shellies devices
Stars: ✭ 113 (-12.4%)
Mutual labels:  discovery
Masurca
Stars: ✭ 128 (-0.78%)
Mutual labels:  genome

Build and test

Gene Prediction with AUGUSTUS

INTRODUCTION
INSTALLATION
RUNNING AUGUSTUS
WEB-SERVER
COMPARATIVE GENE PREDICTION
AUTHORS AND CONTACT
REFERENCES
LICENSES

INTRODUCTION

AUGUSTUS is a program to find genes and their structures in one or more genomes. More ...

INSTALLATION

Windows

Windows users can use the Windows Subsystem for Linux (WSL) to install AUGUSTUS exactly as described below for Linux. How to set up the WSL for AUGUSTUS is described here.

Ubuntu 18.04 or later

This currently installs only a single-genome version without comparative gene prediction capability:

sudo apt install augustus augustus-data augustus-doc

Clone from GitHUB

To obtain the most recent complete version, first, clone the repository

git clone https://github.com/Gaius-Augustus/Augustus.git

or, alternatively, download and unpack the AUGUSTUS source package with

tar -xzf augustus.current.tar.gz

Docker

After retrieving Augustus change into the main directory containing the Dockerfile and issue

docker build -t augustus .

Install dependencies

The following dependencies are required for AUGUSTUS:

  • For gzip compressed input: (set ZIPINPUT = false in common.mk if this feature is not required or the required libraries are not available)
    • libboost-iostreams-dev
    • zlib1g-dev
  • For comparative AUGUSTUS (multi-species, CGP): (set COMPGENEPRED = false in common.mk if the libraries required by the CGP version are not available. Augustus can then only be run in single-genome mode, which is what most users need.)
    • libgsl-dev
    • libboost-all-dev
    • libsuitesparse-dev
    • liblpsolve55-dev
    • libsqlite3-dev (add SQLITE = false to common.mk if this feature is not required or the required library is not available)
    • libmysql++-dev (add MYSQL = false to common.mk if this feature is not required or the required library is not available)
  • For compiling bam2hints and filterBam:
    • libbamtools-dev
  • For compiling utrrnaseq:
    • libboost-all-dev (version must be >Boost_1_49_0)
  • For compiling bam2wig:
    • Follow these instructions. Note that it shouldn't be a problem to compile AUGUSTUS without bam2wig. In practice, you can simply use bamToWig.py to accomplish the same task.
  • For compiling homgenemapping (set BOOST = FALSE in ./auxprogs/homgenemapping/src/Makefile if the option --printHomologs is not required or the required libraries are not available)
    • libboost-all-dev

Compile from sources

Once all dependencies are available, you can compile AUGUSTUS using make.

make

After compilation has finished, the command bin/augustus should be executable and print a usage message.

Install locally

As a normal user, add the directory of the executables to the PATH environment variable, for example:

export PATH=$PATH:~/augustus/bin:~/augustus/scripts

Install globally

You can install AUGUSTUS globally, if you have root privileges, for example:

sudo make install

Alternatively, you can exectue similar commands to those in the "install" section of the top-level Makefile to customize the global installation.

Optional: set environment variable AUGUSTUS_CONFIG_PATH

If the environment variable AUGUSTUS_CONFIG_PATH is set, augustus and etraining will look there for the config directory that contains the configuration and parameter files, e.g. '~/augustus/config'. You may want to add this line to a startup script (like ~/.bashrc).

export AUGUSTUS_CONFIG_PATH=/my_path_to_AUGUSTUS/augustus/config/

If this environment variable is not set, then the programs will look in the path ../config relative to the directory in which the executable lies. As a third alternative, you can specify this directory on the command line when you run augustus: --AUGUSTUS_CONFIG_PATH=/my_path_to_AUGUSTUS/augustus/config/

WEB-SERVER

AUGUSTUS can also be run through a web-interface at http://bioinf.uni-greifswald.de/augustus/ and a web service at http://bioinf.uni-greifswald.de/webaugustus/.

Scripts

Many scripts require Perl.

Running the python3 script bamToWig.py has the following software dependencies:

REFERENCES AND DOCUMENTATION

Mario Stanke, Mark Diekhans, Robert Baertsch, David Haussler (2008). Using native and syntenically mapped cDNA alignments to improve de novo gene finding. Bioinformatics, 24(5), pages 637–644, doi: 10.1093/bioinformatics/btn013

For further references see docs/REFERENCES.md

3 book chapters with command line walkthroughs

LICENSES

All source code, i.e.

  • the AUGUSTUS source code (src/.cc, include/.hh)
  • the scripts (scripts/*)
  • the auxiliary programs (auxprogs/)
  • the tree-parser (src/scanner, src/parser)
  • the unit tests (src/unittests)

is under the Artistic License.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].