2016 - Fellow of the American Statistical Association (ASA)
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Computational biology. Ingo Ruczinski performs multidisciplinary study in the fields of Genetics and IRF6 via his papers. The Genome-wide association study study combines topics in areas such as Bioinformatics, Internal medicine, Asthma, Allele and Locus.
His Genetic association research includes themes of Confidence interval, SNP array, Markov chain, Monte Carlo method and Genetic architecture. His studies deal with areas such as TFAP2A, Genetic predisposition and PTCH1 as well as Single-nucleotide polymorphism. The various areas that he examines in his Computational biology study include Markov chain Monte Carlo, Bayesian inference, Sequence, Protein structure and De novo protein structure prediction.
His main research concerns Genetics, Single-nucleotide polymorphism, Genome-wide association study, Internal medicine and Genetic association. His study in Gene, Genotype, Genome, Candidate gene and Haplotype falls under the purview of Genetics. Copy-number variation is closely connected to Computational biology in his research, which is encompassed under the umbrella topic of Genome.
His Single-nucleotide polymorphism research includes themes of Immunology and Allele. His Genome-wide association study study combines topics from a wide range of disciplines, such as Asthma and Locus. Ingo Ruczinski has included themes like Endocrinology, Oncology and Bioinformatics in his Internal medicine study.
His primary areas of study are Genetics, Internal medicine, Computational biology, Genome-wide association study and Gene. His Genetics study combines topics in areas such as Genetic genealogy and Insulin resistance. His biological study spans a wide range of topics, including Fatty acid desaturase, Endocrinology and Pharmacogenomics.
His research integrates issues of Genome, Copy-number variation, Disease, Bioconductor and Linkage in his study of Computational biology. His study with Genome-wide association study involves better knowledge in Single-nucleotide polymorphism. His study in Genetic association is interdisciplinary in nature, drawing from both Asthma, Locus and Genetic variation.
Ingo Ruczinski spends much of his time researching Locus, Disease, Internal medicine, Genome and Reference genome. Ingo Ruczinski has researched Locus in several fields, including Meta-analysis, Asthma, Peanut allergy and Platelet aggregation. His Internal medicine research is multidisciplinary, incorporating perspectives in Fatty acid desaturase, Polyunsaturated fatty acid and Linolenic acid, Linoleic acid.
The concepts of his Genome study are interwoven with issues in Computational biology and Genetic architecture. The Genetic architecture study combines topics in areas such as Imputation, Genetic variation, Human genetics and Genetic association. His Reference genome study integrates concerns from other disciplines, such as Evolutionary biology, Sequence analysis and Deep sequencing.
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Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations
Dara G. Torgerson;Dara G. Torgerson;Elizabeth J. Ampleford;Grace Y. Chiu;W. James Gauderman.
Nature Genetics (2011)
Random-coil behavior and the dimensions of chemically unfolded proteins
Jonathan E. Kohn;Ian S. Millett;Jaby Jacob;Jaby Jacob;Bojan Zagrovic.
Proceedings of the National Academy of Sciences of the United States of America (2004)
Ab initio protein structure prediction of CASP III targets using ROSETTA
Kim T. Simons;Rich Bonneau;Ingo Ruczinski;David Baker.
Multiple loci associated with indices of renal function and chronic kidney disease
Anna Köttgen;Nicole L. Glazer;Abbas Dehghan;Shih Jen Hwang.
Nature Genetics (2009)
Improved recognition of native-like protein structures using a combination of sequence-dependent and sequence-independent features of proteins.
Kim T. Simons;Ingo Ruczinski;Charles Kooperberg;Brian A. Fox.
Sensitive detection of chromosomal segments of distinct ancestry in admixed populations.
Alkes L. Price;Arti Tandon;Arti Tandon;Nick Patterson;Kathleen C Barnes.
PLOS Genetics (2009)
A genome-wide association study of cleft lip with and without cleft palate identifies risk variants near MAFB and ABCA4
Terri H. Beaty;Jeffrey C. Murray;Mary L. Marazita;Ronald G. Munger.
Nature Genetics (2010)
Experiment and theory highlight role of native state topology in SH3 folding.
David S. Riddle;David S. Riddle;Viara P. Grantcharova;Jed V. Santiago;Eric Alm.
Nature Structural & Molecular Biology (1999)
Detectable clonal mosaicism from birth to old age and its relationship to cancer
Cathy C. Laurie;Cecelia A Laurie;Kenneth Rice;Kimberly F. Doheny.
Nature Genetics (2012)
Topology, stability, sequence, and length: Defining the determinants of two-state protein folding kinetics
Kevin W. Plaxco;Kim T. Simons;Ingo Ruczinski;David Baker.
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