Functional characterization and annotation of trait-associated genomic regions by transcriptome analysis
Du, Yang
1983-
aut
text
theses
Text
Hochschulschrift
gw
2014
monographic
XA-DE
2014
eng
text/html
application/pdf
Online-Ressource Ill., graph. Darst.
In this work, two novel implementations have been presented, which could assist in the design and data analysis of high-throughput genomic experiments. An efficient and flexible tiling probe selection pipeline utilizing the penalized uniqueness score has been implemented, which could be employed in the design of various types and scales of genome tiling task. A novel hidden semi-Markov model (HSMM) implementation is made available within the Bioconductor project, which provides a unified interface for segmenting genomic data in a wide range of research subjects.
vorgelegt von Yang Du
Rostock, Univ., Fak. für Informatik und Elektrotechnik, Diss., 2014
572.8836
570
WC 7700
42.11
http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0196-0
http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0196-0&pdf
http://nbn-resolving.de/urn:nbn:de:gbv:28-diss2014-0196-0
Functional characterization and annotation of trait-associated genomic regions by transcriptome analysis
2014
Druck-Ausgabe
(DE-627)806921439
Du, Yang, 1983 -
urn:nbn:de:gbv:28-diss2014-0196-0
935771522
rakwb
DE-627
141209
812372174
20251224T194302.0
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