Data integration in microbial genomics ... - Jacobs University
Data integration in microbial genomics ... - Jacobs University
Data integration in microbial genomics ... - Jacobs University
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12 1. Introduction<br />
what k<strong>in</strong>d and what they are do<strong>in</strong>g?” To address these questions, it<br />
helps to understand the most important work<strong>in</strong>g steps that lead to the<br />
generation of sequence data. Figure 1.7 shows a generalized workflow<br />
<strong>in</strong> <strong>microbial</strong> <strong>genomics</strong>.<br />
Figure 1.7: A generalized workflow for <strong>microbial</strong> <strong>genomics</strong><br />
When it is aimed to analyze genomes from microorganisms, first, biological<br />
samples have to be taken <strong>in</strong> the field (figure 1.7, step 1). Different<br />
isolation strategies are applied depend<strong>in</strong>g on the target organism<br />
(figure 1.7, step 2). Once <strong>in</strong> pure culture, DNA is extracted (figure 1.7,<br />
step 3) and sequenced (figure 1.7, step 4). Today, complete genomes<br />
are often sequenced, assembled and f<strong>in</strong>ally analysed (figure 1.7, step<br />
5). The workflow beg<strong>in</strong>s very practically <strong>in</strong> the field, cont<strong>in</strong>ues with<br />
technical work <strong>in</strong> the laboratory and ends with sequence data analysis<br />
on the computer. In meta<strong>genomics</strong>, DNA is extracted directly from<br />
environmental samples, without apply<strong>in</strong>g cultivation techniques, and<br />
either specific genes are amplified and sequenced or random sequenc<strong>in</strong>g<br />
is performed. As soon as sequence data is available, it can be<br />
submitted to the INSDC.