Niranjan Nagarajan

Publication List Details

Period

2004 - 2009

Number

17

Co-Authors

multinomial goodness-of-fit (2009)

Uri Keich, Niranjan Nagarajan

fast and numerically robust method for exact

Refining motif finders with E-value calculations (2008)

Niranjan Nagarajan, Patrick Ng, Uri Keich

Motif finders are an important tool for searching for regulatory elements in DNA. Popular existing programs optimize the entropy score to efficiently search for motifs. While E-values are commonly...

A Faster Reliable Algorithm to Estimate the p-Value of the Multinomial llr Statistic (2008)

Uri Keich, Niranjan Nagarajan

Abstract. The subject of estimating the p-value of the log-likelihood ratio statistic for multinomial distribution has been studied extensively in the statistical literature. Nevertheless,...

Refining motif finders with E-value calculations (2008)

Niranjan Nagarajan, Patrick Ng, Uri Keich

Motif finders are an important tool for searching for regulatory elements in DNA. Popular existing programs optimize the entropy score to efficiently search for motifs. While E-values are commonly...

FAST: Fourier transform based algorithms for significance testing of ungapped multiple alignments (2008)

Nagarajan, Niranjan, Keich, Uri

Summary: As was shown in Nagarajan et al. (2005), commonly used approximations for assessing the significance of multiple alignments can be be very inaccurate. To address this, we present here the...

Scaffolding and validation of bacterial genome assemblies using optical restriction maps (2008)

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

Motivation: New, high-throughput sequencing technologies have made it feasible to cheaply generate vast amounts of sequence information from a genome of interest. The computational reconstruction of...

A fast and numerically robust method for exact multinomial goodness-of-fit test (2006)

Uri Keich, Niranjan Nagarajan

Evaluating the significance of goodness-of-fits tests for multinomial data in general, and estimating the p value of the log-likelihood ratio statistic G 2 in particular, have been studied...

Apples to apples: improving the performance of motif finders and their significance analysis in the Twilight Zone (2006)

Ng, Patrick, Nagarajan, Niranjan, Jones, Neil, Keich, Uri

Motivation: Effective algorithms for finding relatively weak motifs are an important practical necessity while scanning long DNA sequences for regulatory elements. The success of such an algorithm...

Computing the P-value of the information content from an alignment of multiple sequences (2005)

Nagarajan, Niranjan, Jones, Neil, Keich, Uri

Motivation: The efficient and accurate computation of P-values is an essential requirement for motif-finding and alignment tools. We show that the approximation algorithms used in two popular...

Automatic prediction of protein domains from sequence information using a hybrid learning system (2004)

Nagarajan, Niranjan, Yona, Golan

Motivation: We describe a novel method for detecting the domain structure protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are derived from...

Automatic prediction of protein domains from sequence information using a hybrid learning system (2004)

Nagarajan, Niranjan, Yona, Golan

Motivation: We describe a novel method for detecting the domain structure of a protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are derived...

Automatic prediction of protein domains from sequence information using a hybrid learning system (2004)

Nagarajan, Niranjan, Yona, Golan

Motivation: We describe a novel method for detecting the domain structure protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are derived from...

Scaffolding and validation of bacterial genome assemblies using optical restriction maps

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

Motivation: New, high-throughput sequencing technologies have made it feasible to cheaply generate vast amounts of sequence information from a genome of interest. The computational reconstruction of...

Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples

White, James Robert, Nagarajan, Niranjan, Pop, Mihai

Numerous studies are currently underway to characterize the microbial communities inhabiting our world. These studies aim to dramatically expand our understanding of the microbial biosphere and, more...