His scientific interests lie mostly in Computational biology, Genetics, Genome, Genomics and Sequence assembly. His research integrates issues of Exome sequencing, Transcriptome, Translation, Messenger RNA and Metagenomics in his study of Computational biology. His Genome study is associated with Gene.
Niranjan Nagarajan combines subjects such as Minion, Nanopore sequencing and Illumina dye sequencing with his study of Genomics. The various areas that Niranjan Nagarajan examines in his Sequence assembly study include Quadratic programming and Theoretical computer science. His work in Gene expression profiling addresses issues such as Shotgun sequencing, which are connected to fields such as Microbiome.
His primary scientific interests are in Computational biology, Genetics, Genome, Microbiome and Metagenomics. His Computational biology research is multidisciplinary, incorporating perspectives in RNA, Nanopore sequencing, Genomics, Sequence analysis and Gene isoform. Genetics is closely attributed to Dengue fever in his study.
His Genome research includes themes of Virology and Sequence assembly. His study in Microbiome is interdisciplinary in nature, drawing from both Immunology, Feces and Keystone species. Niranjan Nagarajan usually deals with Metagenomics and limits it to topics linked to Antibiotic resistance and Multiple drug resistance.
The scientist’s investigation covers issues in Microbiome, Metagenomics, Computational biology, Antibiotic resistance and Nucleic acid structure. His work focuses on many connections between Microbiome and other disciplines, such as Gut flora, that overlap with his field of interest in Illumina dye sequencing and Prevotella. Niranjan Nagarajan has researched Metagenomics in several fields, including Ecology, Genome, Disease and Filaggrin, Atopic dermatitis.
Niranjan Nagarajan carries out multidisciplinary research, doing studies in Computational biology and Benchmarking. His Antibiotic resistance research includes elements of Plasmid, Enterobacteriaceae, MEDLINE and Virology. To a larger extent, he studies Genetics with the aim of understanding Plasmid.
Niranjan Nagarajan spends much of his time researching Microbiome, Metagenomics, Antibiotic resistance, Keystone species and Energy source. His Microbiome research includes themes of MRNA Sequencing, Cancer research, Antigen and Mass cytometry. The subject of his Metagenomics research is within the realm of Genetics.
His study ties his expertise on Drug resistance together with the subject of Antibiotic resistance. His Keystone species research is multidisciplinary, relying on both Probiotic, Bacteroides thetaiotaomicron and Gastrointestinal Microbiome.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Comprehensive Characterization of Cancer Driver Genes and Mutations.
Matthew H Bailey;Collin Tokheim;Eduard Porta-Pardo;Sohini Sengupta.
Statistical methods for detecting differentially abundant features in clinical metagenomic samples.
James Robert White;Niranjan Nagarajan;Mihai Pop.
PLOS Computational Biology (2009)
The draft genome of the transgenic tropical fruit tree papaya (Carica papaya Linnaeus)
Ray Ming;Shaobin Hou;Yun Feng;Qingyi Yu.
LoFreq: a sequence-quality aware, ultra-sensitive variant caller for uncovering cell-population heterogeneity from high-throughput sequencing datasets
Andreas Wilm;Pauline Poh Kim Aw;Denis Bertrand;Grace Hui Ting Yeo.
Nucleic Acids Research (2012)
The draft genome of sweet orange (Citrus sinensis).
Qiang Xu;Ling Ling Chen;Xiaoan Ruan;Dijun Chen.
Nature Genetics (2013)
Fast and accurate de novo genome assembly from long uncorrected reads
Robert Vaser;Ivan Sović;Niranjan Nagarajan;Mile Šikić.
Genome Research (2017)
Exome sequencing of gastric adenocarcinoma identifies recurrent somatic mutations in cell adhesion and chromatin remodeling genes
Zhi Jiang Zang;Ioana Cutcutache;Song Ling Poon;Shen Li Zhang.
Nature Genetics (2012)
Genome mapping on nanochannel arrays for structural variation analysis and sequence assembly
Ernest T Lam;Alex Hastie;Chin Lin;Dean Ehrlich.
Nature Biotechnology (2012)
A common BIM deletion polymorphism mediates intrinsic resistance and inferior responses to tyrosine kinase inhibitors in cancer.
King Pan Ng;Axel M Hillmer;Charles T H Chuah;Charles T H Chuah;Wen Chun Juan.
Nature Medicine (2012)
Critical Assessment of Metagenome Interpretation - A benchmark of metagenomics software
Alexander Sczyrba;Peter Hofmann;Peter Hofmann;Peter Belmann;David Koslicki.
Nature Methods (2017)
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