Data integration in microbial genomics ... - Jacobs University
Data integration in microbial genomics ... - Jacobs University
Data integration in microbial genomics ... - Jacobs University
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
16 1. Introduction<br />
tual data acquisition tool MetaBar (chapter 2), which aims to support<br />
biologists to capture contextual data from sampl<strong>in</strong>g to sequenc<strong>in</strong>g.<br />
CD<strong>in</strong>Fusion (chapter 3) is a tool to prepare contextualized sequence<br />
data submissions. It helps to prepare contextual data enriched sequence<br />
submissions to the INSDC. At the <strong>in</strong>terface between data<br />
and <strong>in</strong>formation is a chapter about the GSC contextual data standard<br />
“M<strong>in</strong>imum Information about a MARKer Sequence” (MIMARKS)<br />
(chapter 4), this standard extends and ref<strong>in</strong>es the previously published<br />
checklist “M<strong>in</strong>imum Information about a Genome Sequence” (MIGS)/<br />
”M<strong>in</strong>imum Information about a Metagenome Sequence“ (MIMS) [Field<br />
et al., 2008] that are collectively called MIxS. At the <strong>in</strong>terface between<br />
<strong>in</strong>formation and knowledge is a chapter about the megx.net platform<br />
(chapter 5), an <strong>in</strong>ternet portal that provides users with a unified view<br />
on <strong>in</strong>tegrated sequence, environmental and geographic data. It provides<br />
tools to access and analyse these data with graphical user <strong>in</strong>terfaces.<br />
The thesis f<strong>in</strong>ishes, close to the top of the pyramid, with<br />
a chapter about <strong>in</strong> silico hypothesis and knowledge generation, <strong>in</strong> a<br />
study where metagenomic sequence data were analysed <strong>in</strong> their environmental<br />
context (chapter 6).<br />
1.8 Publication overview<br />
1) MetaBar - A tool for consistent contextual data acquisition<br />
and standards compliant submission<br />
Authors: Wolfgang Hankeln, Pier Luigi Buttigieg, Dennis F<strong>in</strong>k, Renzo<br />
Kottmann, Pel<strong>in</strong> Yilmaz and Frank Oliver Glöckner<br />
Published <strong>in</strong>: BMC Bio<strong>in</strong>formatics, June 2010<br />
Personal Contribution: Developed and implemented MetaBar and<br />
wrote the <strong>in</strong>itial manuscript.<br />
Relevance: To provide the life science community with a tool that<br />
allows to capture contextual data consistently, that accumulate, when<br />
samples are collected and processed.<br />
2) CD<strong>in</strong>Fusion Submission-ready, on-l<strong>in</strong>e Integration of sequence<br />
and contextual data