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Making the most of phylogeny - OPUS - Universität Würzburg

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Chapter 1.<br />

Material<br />

1.1. Hardware requirements<br />

The main part <strong>of</strong> <strong>the</strong> calculations were carried out on a computer with SuSE 10.3<br />

or SuSE 11.0 and sparse Micros<strong>of</strong>t Windows XP TM<br />

as operating system, Intel R○<br />

Core TM<br />

2 6600 central processing unit (CPU) with 2.40 GHz and 2 GB DDR2-SDRAM<br />

memory. Fur<strong>the</strong>rmore, I had access to a high performance computing (HPC) cluster<br />

system and used it for longer calculations. The HPC cluster consists <strong>of</strong> 40 nodes<br />

each having two dual core Intel R○ Xeon R○ 5140 (2.33 GHz) CPUs. Each node <strong>of</strong>fers<br />

8–16 GB <strong>of</strong> memory and a local 20 GB hard drive. The entire cluster additionally<br />

holds 777 GB <strong>of</strong> network attached storage (NAS). This gives a total <strong>of</strong> 160 CPU cores,<br />

448 GB memory and more <strong>the</strong>n 1.5 TB storage.<br />

1.2. Databases<br />

These included <strong>the</strong> major public databases, starting from primary sequence information:<br />

Genbank (Benson et al. 2000; Benson et al. 2009) at <strong>the</strong> NCBI, <strong>the</strong> EMBL<br />

nucleotide sequence database at <strong>the</strong> European Molecular Biology Laboratory (EMBL)<br />

(Baker et al. 2000; Leinonen et al. 2010), DNA Data Bank <strong>of</strong> Japan (DDBJ) (Kaminuma<br />

et al. 2010; Tateno et al. 2000) and Universal Protein Resource (UniProt) (Jain et al.<br />

2009; UniProt Consortium 2010). Fur<strong>the</strong>rmore, specific secondary databases such as<br />

Simple Modular Architecture Research Tool (SMART) (Letunic et al. 2009; Schultz<br />

et al. 1998) or Protein Families (PFAM) (Finn et al. 2010) were used.<br />

Additionally we host some local installed databases using Postgres or MySQL<br />

as database management system (DBMS) (e.g. tardigrade workbench (Förster et al.<br />

2009), <strong>the</strong> BLAST2GO database (Götz et al. 2008) or <strong>the</strong> ITS2 database (Koetschan<br />

et al. 2010)).<br />

13

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