The next-generation sequencing era requires reliable, fast and efficient approaches for the accurate annotation of the ever-increasing number of biological sequences and their variations. Transfer of annotation upon similarity search is a standard approach. The procedure of all-against-all protein comparison is a preliminary step of different available methods that annotate sequences based on information already present in databases. Given the actual volume of sequences, methods are necessary to pre-process data to reduce the time of sequence comparison.

AlignBucket: a tool to speed up 'all-against-all' protein sequence alignments optimizing length constraints

Fariselli, Piero
;
2015-01-01

Abstract

The next-generation sequencing era requires reliable, fast and efficient approaches for the accurate annotation of the ever-increasing number of biological sequences and their variations. Transfer of annotation upon similarity search is a standard approach. The procedure of all-against-all protein comparison is a preliminary step of different available methods that annotate sequences based on information already present in databases. Given the actual volume of sequences, methods are necessary to pre-process data to reduce the time of sequence comparison.
2015
31
23
3841
3843
http://bioinformatics.oxfordjournals.org/content/31/23/3841
sequence alignment; optimization; constraints; similarity search
Profiti Giuseppe; Fariselli, Piero; Casadio Rita
File in questo prodotto:
File Dimensione Formato  
Bioinformatics-2015-Profiti-3841-3.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 446.14 kB
Formato Adobe PDF
446.14 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1687614
Citazioni
  • ???jsp.display-item.citation.pmc??? 2
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
social impact