Comprehensive Reanalysis of Genomic Storm (Transcriptomic) Data, Integrating Clinical Varibles and Utilizing New and Old Approaches (Paperback) (ISBN-13: 9783656858454)

Bachelor Thesis from the year 2014 in the subject Computer Science - Bioinformatics, grade: 165/200 (A+), language: English, abstract: Aim: I sought to determine trauma-specific transcriptomic signatures for septic sub-cohorts. Methods: In retrospective large-scale data analysis, I applied (old and new methods), including lagged correlation between transcripts and clinical subtype counts (by integrating over 800 samples from trauma patients). Results: Focussing on novel pathways and correlation methods we revealed (persistently down-regulated) ribosomal genes and changed time profiles of metabolic enzyme precursors /transcripts. Candidates associated to insulin signalling, including HK3, hinted towards "metabolic syndrome". Correlation analysis yielded robust results for LCN2 and LTF (r>0.9), but only moderate associations to subtype counts (e.g. top-performing r (Eosinophil, IL5RA)>0.6). Discussion: Gene Centred Normalisation Reduces Ambiguity and Improves Interpretation.

Author: Deepak Tanwar
ISBN-10: 3656858454
ISBN-13: 9783656858454
Publisher: Grin Verlag
Language: English
Published: 01/20/2015
Pages: 56
Format: Paperback
Weight: 0.19lbs
Size: 8.27h x 5.83w x 0.13d