Big Data Analytics in Genomics
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Published By Springer International Publishing

9783319412788, 9783319412795
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

NGS Analysis of Somatic Mutations in Cancer Genomes

2016 ◽  
pp. 357-372
Author(s):  
T. Prieto ◽  
J. M. Alves ◽  
D. Posada
Keyword(s):  
Somatic Mutations ◽  
Cancer Genomes

OncoMiner: A Pipeline for Bioinformatics Analysis of Exonic Sequence Variants in Cancer

2016 ◽  
pp. 373-396
Author(s):  
Ming-Ying Leung ◽  
Joseph A. Knapka ◽  
Amy E. Wagler ◽  
Georgialina Rodriguez ◽  
Robert A. Kirken
Keyword(s):  
Bioinformatics Analysis ◽  
Sequence Variants ◽  
Exonic Sequence

Causal Inference and Structure Learning of Genotype–Phenotype Networks Using Genetic Variation

2016 ◽  
pp. 89-143
Author(s):  
Adèle H. Ribeiro ◽  
Júlia M. P. Soler ◽  
Elias Chaibub Neto ◽  
André Fujita
Keyword(s):  
Genetic Variation ◽  
Causal Inference ◽  
Structure Learning

Improving Re-annotation of Annotated Eukaryotic Genomes

2016 ◽  
pp. 171-195 ◽  
Author(s):  
Shishir K. Gupta ◽  
Elena Bencurova ◽  
Mugdha Srivastava ◽  
Pirasteh Pahlavan ◽  
Johannes Balkenhol ◽  
...  
Keyword(s):  
Eukaryotic Genomes

scholarly journals State-of-the-Art in Smith–Waterman Protein Database Search on HPC Platforms

2016 ◽  
pp. 197-223 ◽  
Author(s):  
Enzo Rucci ◽  
Carlos García ◽  
Guillermo Botella ◽  
Armando De Giusti ◽  
Marcelo Naiouf ◽  
...  
Keyword(s):  
State Of The Art ◽  
Database Search ◽  
Protein Database

A Bioinformatics Approach for Understanding Genotype–Phenotype Correlation in Breast Cancer

2016 ◽  
pp. 397-428
Author(s):  
Sohiya Yotsukura ◽  
Masayuki Karasuyama ◽  
Ichigaku Takigawa ◽  
Hiroshi Mamitsuka
Keyword(s):  
Breast Cancer ◽  
Phenotype Correlation ◽  
Genotype Phenotype Correlation
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