Purdue University

GAMBIT (Genomic Approximation Method for Bacterial Identification and Tracking) is a tool for rapid taxonomic identification of microbial pathogens.

The General Atomic and Molecular Electronic Structure Systems GAMESS program simulates molecular quantum chemistry, allowing users to calculate various molecular properties and dynamics.

GAMMA (Gene Allele Mutation Microbial Assessment) is a command line tool that finds gene matches in microbial genomic data using protein coding (rather than nucleotide) identity, and then translates and annotates the match by providing the type (i.e., mutant, truncation, etc.) and a translated description (i.e., Y190S mutant, truncation at residue 110, etc.).

The General Algebraic Modeling System is a high-level modeling system for mathematical optimization. GAMS is designed for modeling and solving linear, nonlinear, and mixed-integer optimization problems.

GangSTR is a tool for genome-wide profiling tandem repeats from short reads. A key advantage of GangSTR over existing genome-wide TR tools (e.g. lobSTR or hipSTR) is that it can handle repeats that are longer than the read length. GangSTR takes aligned reads (BAM) and a set of repeats in the reference genome as input and outputs a VCF file containing genotypes for each locus.

GapFiller is a seed-and-extend local assembler to fill the gap within paired reads. It can be used for both DNA and RNA and it has been tested on Illumina data. GapFiller can be used whenever a sequence is to be assembled starting from reads lying on its ends, provided a loose estimate of sequence length.

GAPIT is a Genome Association and Prediction Integrated Tool.

GATK (Genome Analysis Toolkit) is a collection of command-line tools for analyzing high-throughput sequencing data with a primary focus on variant discovery.

GATK (Genome Analysis Toolkit) is a collection of command-line tools for analyzing high-throughput sequencing data with a primary focus on variant discovery

Gaussian is a general purpose computational chemistry software package initially released in 1970. It utilizes fundamental laws of quantum mechanics to predict energies, molecular structures, spectroscopic data (NMR, IR, UV) and much more advanced calculations. It provides state-of-the-art capabilities for electronic structure modeling.

Gaussian is a general purpose computational chemistry software package initially released in 1970. It utilizes fundamental laws of quantum mechanics to predict energies, molecular structures, spectroscopic data (NMR, IR, UV) and much more advanced calculations. It provides state-of-the-art capabilities for electronic structure modeling.

GaussView is a graphical interface used with Gaussian. It aids in the creation of Gaussian input files, enables the user to run Gaussian calculations from a graphical interface without the need for using a command line instruction, and helps in the interpretation of Gaussian output (e.g., you can use it to plot properties, animate vibrations, visualize computed spectra, etc.).

The GNU Compiler Collection includes front ends for C, C++, Objective-C, Fortran, Ada, and Go, as well as libraries for these languages.

GDAL Geospatial Data Abstraction Library is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single raster abstract data model and vector abstract data model to the calling application for all supported formats. It also comes with a variety of useful command line utilities for data translation and processing.

GDB, the GNU Project debugger, allows you to see what is going on inside another program while it executes -- or what another program was doing at the moment it crashed.

Gemma is a software toolkit for fast application of linear mixed models (LMMs) and related models to genome-wide association studies (GWAS) and other large-scale data sets.

Gene Model Mapper (GeMoMa) is a homology-based gene prediction program. GeMoMa uses the annotation of protein-coding genes in a reference genome to infer the annotation of protein-coding genes in a target genome. Thereby, GeMoMa utilizes amino acid sequence and intron position conservation. In addition, GeMoMa allows to incorporate RNA-seq evidence for splice site prediction.

GeneMark-ES/ET/EP</code> contains GeneMark-ES, GeneMark-ET and GeneMark-EP+ algorithms.

GeneMarkS-2 combines GeneMark.hmm (prokaryotic) and GeneMark (prokaryotic) with a self-training procedure that determines parameters of the models of both GeneMark.hmm and GeneMark.

GenMap: Ultra-fast Computation of Genome Mappability.