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Sonia Agrawal

dblp:42/8321 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0003-4484-7433ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › genome visualization
circular genome visualization
0.212014
Circleator: flexible circular visualization of genome-associated data with BioPerl and SVG · Bioinform. 2014
Bioinformatics and computational biology › genomics
genome visualization
0.212014
Circleator: flexible circular visualization of genome-associated data with BioPerl and SVG · Bioinform. 2014
Bioinformatics and computational biology
genome annotation
0.112014
Circleator: flexible circular visualization of genome-associated data with BioPerl and SVG · Bioinform. 2014
Bioinformatics and computational biology › genomics
pathogen genomics
0.012010
A computational genomics pipeline for prokaryotic sequencing projects · Bioinform. 2010

Methods — techniques the papers use, named apart from their topics

bioperl · 0.2SVG · 0.2reference-based assembly · 0.1gene prediction · 0.1functional annotation · 0.1
YearPublicationVenuePosition
2014 Circleator: flexible circular visualization of genome-associated data with BioPerl and SVG
abstract
SUMMARY: Circleator is a Perl application that generates circular figures of genome-associated data. It leverages BioPerl to support standard annotation and sequence file formats and produces publication-quality SVG output. It is designed to be both flexible and easy to use. It includes a library of circular track types and predefined configuration files for common use-cases, including. (i) visualizing gene annotation and DNA sequence data from a GenBank flat file, (ii) displaying patterns of gene conservation in related microbial strains, (iii) showing Single Nucleotide Polymorphisms (SNPs) and indels relative to a reference genome and gene set and (iv) viewing RNA-Seq plots. AVAILABILITY AND IMPLEMENTATION: Circleator is freely available under the Artistic License 2.0 from http://jonathancrabtree.github.io/Circleator/ and is integrated with the CloVR cloud-based sequence analysis Virtual Machine (VM), which can be downloaded from http://clovr.org or run on Amazon EC2.
Jonathan Crabtree, Sonia Agrawal, Anup Mahurkar, Garry S. A. Myers, David A. Rasko, Owen White
Bioinform.2
2010 A computational genomics pipeline for prokaryotic sequencing projects
abstract
MOTIVATION: New sequencing technologies have accelerated research on prokaryotic genomes and have made genome sequencing operations outside major genome sequencing centers routine. However, no off-the-shelf solution exists for the combined assembly, gene prediction, genome annotation and data presentation necessary to interpret sequencing data. The resulting requirement to invest significant resources into custom informatics support for genome sequencing projects remains a major impediment to the accessibility of high-throughput sequence data. RESULTS: We present a self-contained, automated high-throughput open source genome sequencing and computational genomics pipeline suitable for prokaryotic sequencing projects. The pipeline has been used at the Georgia Institute of Technology and the Centers for Disease Control and Prevention for the analysis of Neisseria meningitidis and Bordetella bronchiseptica genomes. The pipeline is capable of enhanced or manually assisted reference-based assembly using multiple assemblers and modes; gene predictor combining; and functional annotation of genes and gene products. Because every component of the pipeline is executed on a local machine with no need to access resources over the Internet, the pipeline is suitable for projects of a sensitive nature. Annotation of virulence-related features makes the pipeline particularly useful for projects working with pathogenic prokaryotes. AVAILABILITY AND IMPLEMENTATION: The pipeline is licensed under the open-source GNU General Public License and available at the Georgia Tech Neisseria Base (http://nbase.biology.gatech.edu/). The pipeline is implemented with a combination of Perl, Bourne Shell and MySQL and is compatible with Linux and other Unix systems.
Andrey Kislyuk, Lee S. Katz, Sonia Agrawal, Matthew S. Hagen, Andrew B. Conley, Pushkala Jayaraman, Viswateja Nelakuditi, Jay C. Humphrey, Scott A. Sammons, Dhwani Govil, Raydel D. Mair, Kathleen M. Tatti, Maria L. Tondella, Brian H. Harcourt, Leonard W. Mayer, I. King Jordan
Bioinform.3