Niranjan Nagarajan

发表

System Biology Modeling with Compositional Microbiome Data Reveals Personalized Gut Microbial Dynamics and Keystone Species

Chenhao Li, Lisa Tucker-Kellogg, Niranjan Nagarajan, 2018, bioRxiv.

Fast and sensitive mapping of error-prone nanopore sequencing reads with GraphMap

Mile Šikić, Ivan Sović, Niranjan Nagarajan, 2015, bioRxiv.

Parametric Complexity of Sequence Assembly: Theory and Applications to Next Generation Sequencing

Mihai Pop, Niranjan Nagarajan, M. Pop, 2009, J. Comput. Biol..

The importance of study design for detecting differentially abundant features in high-throughput experiments

Juntao Li, Niranjan Nagarajan, Huaien Luo, 2014 .

FinIS: Improved in silico Finishing Using an Exact Quadratic Programming Formulation

Denis Bertrand, Niranjan Nagarajan, Song Gao, 2012, WABI.

A Faster Reliable Algorithm to Estimate the p-Value of the Multinomial llr Statistic

Uri Keich, Niranjan Nagarajan, N. Nagarajan, 2004, WABI.

REFINING MOTIF FINDERS WITH E-VALUE CALCULATIONS

Patrick Ng, Niranjan Nagarajan, Uri Keich, 2008, RECOMB 2008.

Reliability and efficiency of algorithms for computing the significance of the Mann–Whitney test

Uri Keich, Niranjan Nagarajan, N. Nagarajan, 2009, Comput. Stat..

Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples

Mihai Pop, Niranjan Nagarajan, James Robert White, 2009, PLoS Comput. Biol..

Statistical Techniques for Biological Motif Discovery

Uri Keich, Niranjan Nagarajan, N. Nagarajan, 2007 .

Fast and accurate de novo genome assembly from long uncorrected reads

Mile Šikić, Ivan Sović, Niranjan Nagarajan, 2016, bioRxiv.

Graphmap2 - splice-aware RNA-seq mapper for long reads

Mile Šikić, Ivan Sović, Kresimir Krizanovic, 2019, bioRxiv.

A MinION-based pipeline for fast and cost-effective DNA barcoding

Denis Bertrand, Amanda Hui Qi Ng, Niranjan Nagarajan, 2018, bioRxiv.

Opera: Reconstructing Optimal Genomic Scaffolds with High-Throughput Paired-End Sequences

Wing-Kin Sung, Niranjan Nagarajan, Song Gao, 2011, RECOMB.

Opera: Reconstructing Optimal Genomic Scaffolds with High-Throughput Paired-End Sequences

Wing-Kin Sung, Niranjan Nagarajan, Song Gao, 2011, J. Comput. Biol..

FAST: Fourier transform based algorithms for significance testing of ungapped multiple alignments

Uri Keich, Niranjan Nagarajan, 2008, Bioinform..

Scaffolding and validation of bacterial genome assemblies using optical restriction maps

Mihai Pop, Niranjan Nagarajan, Timothy D. Read, 2008, Bioinform..

STATISTICAL TECHNIQUES FOR BIOLOGICAL

Niranjan Nagarajan, N. Nagarajan, 2007 .

Predicting Cancer Drug Response Using a Recommender System

Denis Bertrand, Niranjan Nagarajan, Chayaporn Supahvilai, 2017 .

Alignment and clustering of phylogenetic markers - implications for microbial diversity studies

Mihai Pop, Carl Kingsford, Saket Navlakha, 2010, BMC Bioinformatics.

A multi-expert system for the automatic detection of protein domains from sequence information

Golan Yona, Niranjan Nagarajan, N. Nagarajan, 2003, RECOMB '03.

Nanopore sequencing enables high-resolution analysis of resistance determinants and mobile elements in the human gut microbiome

Jim Shaw, Chenhao Li, Mirta Dvornicic, 2018, bioRxiv.

OPERA-LG: Efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees

Denis Bertrand, Niranjan Nagarajan, Song Gao, 2015 .

Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information

Mihai Pop, Carl Kingsford, Saket Navlakha, 2009, J. Comput. Biol..

Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information

Mihai Pop, Carl Kingsford, Saket Navlakha, 2009, RECOMB.

Index-based map-to-sequence alignment in large eukaryotic genomes

Davide Verzotto, Niranjan Nagarajan, Axel M. Hillmer, 2015, bioRxiv.

Automatic prediction of protein domains from sequence information using a hybrid learning system

Golan Yona, Niranjan Nagarajan, N. Nagarajan, 2004, Bioinform..

Predicting Cancer Drug Response Using a Recommender System

Denis Bertrand, Niranjan Nagarajan, Chayaporn Suphavilai, 2017, bioRxiv.

Uncovering Genomic Reassortments among Influenza Strains by Enumerating Maximal Bicliques

Carl Kingsford, Niranjan Nagarajan, N. Nagarajan, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Computing the P-value of the information content from an alignment of multiple sequences

Uri Keich, Niranjan Nagarajan, Neil Jones, 2005, ISMB.

Apples to apples: improving the performance of motif finders and their significance analysis in the Twilight Zone

Patrick Ng, Uri Keich, Niranjan Nagarajan, 2006, ISMB.