رسالة جامعية
Unravelling the complexity of eukaryotic genomes through gene annotation and evolutionary analysis
| العنوان: | Unravelling the complexity of eukaryotic genomes through gene annotation and evolutionary analysis |
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| المؤلفون: | Sterck, Lieven |
| المساهمون: | Van de Peer, Yves |
| بيانات النشر: | Ghent University. Faculty of Sciences |
| سنة النشر: | 2008 |
| المجموعة: | Ghent University Academic Bibliography |
| مصطلحات موضوعية: | Biology and Life Sciences |
| الوصف: | The genome sequence of eukaryotic species is being determined making use of two intrinsically different methods. These are the whole genome shotgun method (WGS) and the clone-by-clone approach. In the WGS method the DNA is broken up in random fragments of different sizes and fragments of approximately 3000 or 10000 bases are selected. From each of these fragments 2 paired-end reads are produced. For a typical eukaryotic genome project, millions of these reads are generated in an attempt to cover the whole genome. Afterwards, these different reads are assembled to resemble the original sequence. In contrast, the clone-by-clone approach uses a highly organised protocol to fractionate the DNA into fragments. By making use of restriction enzymes the DNA is cut into pieces of around 150Kbp. The complete collection of these pieces is referred to as a BAC library. These fragments are then fingerprinted positioning them on the genome. Then a minimum tiling path is constructed in order to sequence as few DNA fragments as possible. Once the genomic sequence of an organism has been determined, one still needs to locate the biologically functional features in this genome. This step is called genome annotation which is mainly focused on predicting the location and structure of the (protein-coding) genes present in the genome. The approaches used to achieve this can be grouped in 3 categories. Namely, the ab initio, or intrinsic, methods which try to predict genes based on information gained from the genomic sequence itself, the extrinsic approaches that primarily use protein and transcript alignments and the comparative approach that is based on genomic alignments between different genomes. However, today the trend is to use integrative prediction tools that combine the information of all 3 general approaches in order to propose gene models that are maximally consistent with the provided data. One such example of an integrative prediction tool is EuGène. It was designed to mimic as much as possible a human annotator at work ... |
| نوع الوثيقة: | doctoral or postdoctoral thesis |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://biblio.ugent.be/publication/3007649Test; http://hdl.handle.net/1854/LU-3007649Test; https://biblio.ugent.be/publication/3007649/file/4334807Test |
| الإتاحة: | https://biblio.ugent.be/publication/3007649Test http://hdl.handle.net/1854/LU-3007649Test https://biblio.ugent.be/publication/3007649/file/4334807Test |
| حقوق: | No license (in copyright) ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.E5647316 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |