GAGE: a critical evaluation of genome assemblies and assembly algorithms. GAGE is an evaluation of the very latest large-scale genome assembly algorithms. We have organized this ”bake-off” as an attempt to produce a realistic assessment of genome assembly software in a rapidly changing field of next-generation sequencing. The main results of GAGE have now been published in the journal Genome Research: GAGE: A critical evaluation of genome assemblies and assembly algorithms.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
- Axelson-Fisk, Marina: Comparative gene finding. Models, algorithms and implementation (2015)
- Komusiewicz, Christian; Radulescu, Andreea: On the sound covering cycle problem in paired de Bruijn graphs (2015)
- Pell, Jason; Hintze, Arend; Canino-Koning, Rosangela; Howe, Adina; Tiedje, James M.; Brown, C.Titus: Scaling metagenome sequence assembly with probabilistic de Bruijn graphs (2012)