Pulse Explorar nav.journalClub Debates Tendencias Investigadores Revistas

Join discussions, follow papers, and never miss your next session.

Download on theApp Store

Inicio Explorar nav.journalClub Tendencias

⌘+K

April 22, 2011Open Access

Ultra-fast sequence clustering from similarity networks with SiLiX

VMVincent MièleCentre National de la Recherche Scientifique SPSimon PenelUniversité Claude Bernard Lyon 1 LDLaurent DuretUniversité Claude Bernard Lyon 1

Puntos clave

Los puntos clave no están disponibles para este artículo en este momento.

Resumen

Comparing state-of-the-art software, SiLiX presents the best up-to-date capabilities to face the problem of clustering large collections of sequences. SiLiX is freely available at http://lbbe.univ-lyon1.fr/SiLiX.

Preguntar a la IA

Me gusta

Guardar

Compartir

Ver artículo completo

Preguntar a la IA

Me gusta

Guardar

Compartir

Ver artículo completo

Cite This Study

Mièle et al. (Fri,) studied this question.

synapsesocial.com/papers/69dff77ebdd89ea5318608fd https://doi.org/https://doi.org/10.1186/1471-2105-12-116

Ultra-fast sequence clustering from similarity networks with SiLiX | Synapse

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Online Algorithms1998 · 359 citations
2Depth-First Search and Linear Graph Algorithms1972 · 6,050 citations
3Animal mitochondrial genomes1999 · 3,824 citations
4Family classification without domain chaining2009 · 25 citations
5TreeFam: 2008 Update2007 · 348 citations