Changes between Version 12 and Version 13 of Courses/ComputationalMolecularBiologyResearch2015


Ignore:
Timestamp:
2015-01-31T15:36:29+01:00 (10 years ago)
Author:
Pieter Neerincx
Comment:

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  • Courses/ComputationalMolecularBiologyResearch2015

    v12 v13  
    55== Course Overview ==
    66
     7This research course demonstrates the in silico data analysis used for genetics research at the RUG and UMCG.
     8The emphasis of the research topics is on finding better methods for the analysis of high throughput data generated using technologies like Next Generation Sequencing (both DNA and RNA), Gene expression arrays, Genome wide association studies (GWAS), etc.
     9
     10In the first week the research topics will be introduced and a minimal introduction for scripting in Bash and R will be provided. At the beginning of the second week the students will choose a research project to work on under supervision of a PhD-student or Postdoc.
     11
    712== Projects ==
    813
    914* Increasing diagnostic yield of fast whole genome diagnostics for new borns on the Neonatal Intensive Care Unit (NICU):
    10  A. Improved variant calling of CNVs or large insertions or sex chromosome specific variants (choose one) - Pieter / Freerk
    11  B. Improved variant calling of medium sized !InDels - Pieter / Freerk
    12  C. Improved variant interpretation by combining gene networks with phenotype networks - Juha / Joeri
     15 1A. [wiki:Courses/ComputationalMolecularBiologyResearch/P1 Improved variant calling for CNVs] - Pieter / Freerk
     16 1B. [wiki:Courses/ComputationalMolecularBiologyResearch/P1 Improved variant calling for large insertions] - Pieter / Freerk
     17 1C. [wiki:Courses/ComputationalMolecularBiologyResearch/P1 Improved variant calling for sex chromosomes] - Pieter / Freerk
     18 1D. [wiki:Courses/ComputationalMolecularBiologyResearch/P1 Improved variant calling for MtDNA] - Pieter / Freerk
     19 1E. [wiki:Courses/ComputationalMolecularBiologyResearch/P1 Improved variant calling of medium sized !InDels] - Pieter / Freerk
     20 2. Improved variant interpretation by combining gene networks with phenotype networks - Juha / Joeri
    1321
    1422* Transcriptome analysis to elucidate human fatty liver disease development:
    15  D. Improving Ribo-zero RNA seq data analysis to detect non-coding RNAs in addition to coding RNAs - Bibi / Jing
     23 3. Improving Ribo-zero RNA seq data analysis to detect non-coding RNAs in addition to coding RNAs - Bibi / Jing
    1624
    1725* Interaction of microbe and host genomes in IBD???:
    18  E. Microbiome anaylses - Floris / Arnau / Marc Jan
     26 4. Microbiome anaylses - Floris / Arnau / Marc Jan
    1927
    2028* Non-invasive early detection of (pre-)diabetes using Advanced Glycemic Endproduct detection:
    21  F. Optimizing decision trees to differentiate between healthy and diseased using parameter optimisation - Martijn
     29 5. Optimizing decision trees to differentiate between healthy and diseased using parameter optimisation - Martijn / Patrick
    2230
    2331* Towards better treatment of cancer patients: Identifying new tumor (sub) types:
    24  G. By re-analysing DNA aberrations in 16,000 tumor samples - Lude?
     32 6. By re-analysing DNA aberrations in 16,000 tumor samples - Lude
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