In the last 20 years, biological sequence data have been accumulating at exponential rate under continuous improvement of sequencing technology, progress in computer science, and steady increase of funding. Molecular sequence databases (e.g., EMBL, Genbank, DDJB, Entrez, Swissprot, etc.) currently collect hundreds of thousands of sequences of nucleotides and amino acids from biological laboratories all over the world, reaching into the hundreds of terabytes. Such an exponential growth makes it increasingly important to have fast and automatic methods to process, analyze, and visualize massive amounts of data.
Computational Biology
Ferragina, Paolo;
2018-01-01
Abstract
In the last 20 years, biological sequence data have been accumulating at exponential rate under continuous improvement of sequencing technology, progress in computer science, and steady increase of funding. Molecular sequence databases (e.g., EMBL, Genbank, DDJB, Entrez, Swissprot, etc.) currently collect hundreds of thousands of sequences of nucleotides and amino acids from biological laboratories all over the world, reaching into the hundreds of terabytes. Such an exponential growth makes it increasingly important to have fast and automatic methods to process, analyze, and visualize massive amounts of data.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
10.1201_9781315119335-59_chapterpdf.pdf
non disponibili
Licenza:
Copyright dell'editore
Dimensione
493.15 kB
Formato
Adobe PDF
|
493.15 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.
