Includes bibliographical references (pages 25-27).The recent advent of massively parallel sequencing technologies has allowed academic and clinical research to shift focus into genome wide discovery of variations for investigation of their role in disease. Attempts to comprehensively annotate genetic variants for population frequency, pathogenicity, and clinical relevance are distributed across numerous efforts. Currently, annotating genomes and variants involves downloading and parsing flat-files and uploading the data into a database. This becomes especially tedious when studying complex and heterogeneous diseases with respect to variant type or when annotations need to be updated. In order to alleviate fragmentation and allow systematic ...
The main goal of this study was to develop a method for computational de novo prediction of short li...
Pattern discovery from biological data is crucial to advance our understanding of complex biological...
International audienceConstructing predictive dynamic models of interacting signalling networks rema...
Sequencing has revolutionized our approaches to understanding diversity and assessing biological que...
This dissertation includes a general introduction (Chapter 1), three journal manuscripts (Chapters 2...
Polyploidy has played a spectacular role in plant evolution. Through allopolyploidization, two or mo...
The biochemical and physiological functions of a large proportion of the approximately 27,000 protei...
Genome-Wide Association Study (GWAS) have been widely used to detect the QTLs based on Linkage Diseq...
abstract: Reading partners’ actions correctly is essential for successful coordination, but interpre...
This study investigated the efficacy of multiple indicators, multiple causes (MIMIC) methods in dete...
Intrusion Detection is a broad and complex field in cybersecurity. There are varieties of existing m...
Chronic wounds are a global, ongoing health challenge that afflicts a large number of people. Effect...
Organ donor rates in Australia consistently fail to meet demand. Organ donor registration can be mad...
Understanding the molecular basis of neuroplasticity is an ambition of neuroscience. SynGAP and nNOS...
Maize is a staple food, fuel, and feed crop grown around the world. Doubled haploid technology allow...
The main goal of this study was to develop a method for computational de novo prediction of short li...
Pattern discovery from biological data is crucial to advance our understanding of complex biological...
International audienceConstructing predictive dynamic models of interacting signalling networks rema...
Sequencing has revolutionized our approaches to understanding diversity and assessing biological que...
This dissertation includes a general introduction (Chapter 1), three journal manuscripts (Chapters 2...
Polyploidy has played a spectacular role in plant evolution. Through allopolyploidization, two or mo...
The biochemical and physiological functions of a large proportion of the approximately 27,000 protei...
Genome-Wide Association Study (GWAS) have been widely used to detect the QTLs based on Linkage Diseq...
abstract: Reading partners’ actions correctly is essential for successful coordination, but interpre...
This study investigated the efficacy of multiple indicators, multiple causes (MIMIC) methods in dete...
Intrusion Detection is a broad and complex field in cybersecurity. There are varieties of existing m...
Chronic wounds are a global, ongoing health challenge that afflicts a large number of people. Effect...
Organ donor rates in Australia consistently fail to meet demand. Organ donor registration can be mad...
Understanding the molecular basis of neuroplasticity is an ambition of neuroscience. SynGAP and nNOS...
Maize is a staple food, fuel, and feed crop grown around the world. Doubled haploid technology allow...
The main goal of this study was to develop a method for computational de novo prediction of short li...
Pattern discovery from biological data is crucial to advance our understanding of complex biological...
International audienceConstructing predictive dynamic models of interacting signalling networks rema...