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Featured researches published by Kalpana Karra.


Nucleic Acids Research | 2012

Saccharomyces Genome Database: the genomics resource of budding yeast

J. Michael Cherry; Eurie L. Hong; Craig Amundsen; Rama Balakrishnan; Gail Binkley; Esther T. Chan; Karen R. Christie; Maria C. Costanzo; Selina S. Dwight; Stacia R. Engel; Dianna G. Fisk; Jodi E. Hirschman; Benjamin C. Hitz; Kalpana Karra; Cynthia J. Krieger; Stuart R. Miyasato; Robert S. Nash; Julie Park; Marek S. Skrzypek; Matt Simison; Shuai Weng; Edith D. Wong

The Saccharomyces Genome Database (SGD, http://www.yeastgenome.org) is the community resource for the budding yeast Saccharomyces cerevisiae. The SGD project provides the highest-quality manually curated information from peer-reviewed literature. The experimental results reported in the literature are extracted and integrated within a well-developed database. These data are combined with quality high-throughput results and provided through Locus Summary pages, a powerful query engine and rich genome browser. The acquisition, integration and retrieval of these data allow SGD to facilitate experimental design and analysis by providing an encyclopedia of the yeast genome, its chromosomal features, their functions and interactions. Public access to these data is provided to researchers and educators via web pages designed for optimal ease of use.


Cell | 2014

H3K4me3 Breadth Is Linked to Cell Identity and Transcriptional Consistency

Bérénice A. Benayoun; Elizabeth A. Pollina; Duygu Ucar; Salah Mahmoudi; Kalpana Karra; Edith D. Wong; Keerthana Devarajan; Aaron C. Daugherty; Anshul Kundaje; Elena Mancini; Benjamin C. Hitz; Rakhi Gupta; Thomas A. Rando; Julie C. Baker; Michael Snyder; J. Michael Cherry; Anne Brunet

Trimethylation of histone H3 at lysine 4 (H3K4me3) is a chromatin modification known to mark the transcription start sites of active genes. Here, we show that H3K4me3 domains that spread more broadly over genes in a given cell type preferentially mark genes that are essential for the identity and function of that cell type. Using the broadest H3K4me3 domains as a discovery tool in neural progenitor cells, we identify novel regulators of these cells. Machine learning models reveal that the broadest H3K4me3 domains represent a distinct entity, characterized by increased marks of elongation. The broadest H3K4me3 domains also have more paused polymerase at their promoters, suggesting a unique transcriptional output. Indeed, genes marked by the broadest H3K4me3 domains exhibit enhanced transcriptional consistency and [corrected] increased transcriptional levels, and perturbation of H3K4me3 breadth leads to changes in transcriptional consistency. Thus, H3K4me3 breadth contains information that could ensure transcriptional precision at key cell identity/function genes.


G3: Genes, Genomes, Genetics | 2014

The Reference Genome Sequence of Saccharomyces cerevisiae: Then and Now

Stacia R. Engel; Fred S. Dietrich; Dianna G. Fisk; Gail Binkley; Rama Balakrishnan; Maria C. Costanzo; Selina S. Dwight; Benjamin C. Hitz; Kalpana Karra; Robert S. Nash; Shuai Weng; Edith D. Wong; Paul Lloyd; Marek S. Skrzypek; Stuart R. Miyasato; Matt Simison; J. Michael Cherry

The genome of the budding yeast Saccharomyces cerevisiae was the first completely sequenced from a eukaryote. It was released in 1996 as the work of a worldwide effort of hundreds of researchers. In the time since, the yeast genome has been intensively studied by geneticists, molecular biologists, and computational scientists all over the world. Maintenance and annotation of the genome sequence have long been provided by the Saccharomyces Genome Database, one of the original model organism databases. To deepen our understanding of the eukaryotic genome, the S. cerevisiae strain S288C reference genome sequence was updated recently in its first major update since 1996. The new version, called “S288C 2010,” was determined from a single yeast colony using modern sequencing technologies and serves as the anchor for further innovations in yeast genomic science.


Database | 2012

YeastMine—an integrated data warehouse for Saccharomyces cerevisiae data as a multipurpose tool-kit

Rama Balakrishnan; Julie Park; Kalpana Karra; Benjamin C. Hitz; Gail Binkley; Eurie L. Hong; Julie Sullivan; Gos Micklem; J. Michael Cherry

The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org/) provides high-quality curated genomic, genetic, and molecular information on the genes and their products of the budding yeast Saccharomyces cerevisiae. To accommodate the increasingly complex, diverse needs of researchers for searching and comparing data, SGD has implemented InterMine (http://www.InterMine.org), an open source data warehouse system with a sophisticated querying interface, to create YeastMine (http://yeastmine.yeastgenome.org). YeastMine is a multifaceted search and retrieval environment that provides access to diverse data types. Searches can be initiated with a list of genes, a list of Gene Ontology terms, or lists of many other data types. The results from queries can be combined for further analysis and saved or downloaded in customizable file formats. Queries themselves can be customized by modifying predefined templates or by creating a new template to access a combination of specific data types. YeastMine offers multiple scenarios in which it can be used such as a powerful search interface, a discovery tool, a curation aid and also a complex database presentation format. Database URL: http://yeastmine.yeastgenome.org


Nucleic Acids Research | 2014

Saccharomyces genome database provides new regulation data

Maria C. Costanzo; Stacia R. Engel; Edith D. Wong; Paul Lloyd; Kalpana Karra; Esther T. Chan; Shuai Weng; Kelley M. Paskov; Greg Roe; Gail Binkley; Benjamin C. Hitz; J. Michael Cherry

The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org) is the community resource for genomic, gene and protein information about the budding yeast Saccharomyces cerevisiae, containing a variety of functional information about each yeast gene and gene product. We have recently added regulatory information to SGD and present it on a new tabbed section of the Locus Summary entitled ‘Regulation’. We are compiling transcriptional regulator–target gene relationships, which are curated from the literature at SGD or imported, with permission, from the YEASTRACT database. For nearly every S. cerevisiae gene, the Regulation page displays a table of annotations showing the regulators of that gene, and a graphical visualization of its regulatory network. For genes whose products act as transcription factors, the Regulation page also shows a table of their target genes, accompanied by a Gene Ontology enrichment analysis of the biological processes in which those genes participate. We additionally synthesize information from the literature for each transcription factor in a free-text Regulation Summary, and provide other information relevant to its regulatory function, such as DNA binding site motifs and protein domains. All of the regulation data are available for querying, analysis and download via YeastMine, the InterMine-based data warehouse system in use at SGD.


Scientific Reports | 2013

InterMOD: integrated data and tools for the unification of model organism research

Julie Sullivan; Kalpana Karra; Sierra A. T. Moxon; Andrew Vallejos; Howie Motenko; J. D. Wong; Jelena Aleksic; Rama Balakrishnan; Gail Binkley; Todd W. Harris; Benjamin C. Hitz; Pushkala Jayaraman; Rachel Lyne; Steven B. Neuhauser; Christian Pich; Richard N. Smith; Quang Trinh; J. Michael Cherry; Joel E. Richardson; Lincoln Stein; Simon N. Twigger; Monte Westerfield; Elizabeth A. Worthey; Gos Micklem

Model organisms are widely used for understanding basic biology, and have significantly contributed to the study of human disease. In recent years, genomic analysis has provided extensive evidence of widespread conservation of gene sequence and function amongst eukaryotes, allowing insights from model organisms to help decipher gene function in a wider range of species. The InterMOD consortium is developing an infrastructure based around the InterMine data warehouse system to integrate genomic and functional data from a number of key model organisms, leading the way to improved cross-species research. So far including budding yeast, nematode worm, fruit fly, zebrafish, rat and mouse, the project has set up data warehouses, synchronized data models, and created analysis tools and links between data from different species. The project unites a number of major model organism databases, improving both the consistency and accessibility of comparative research, to the benefit of the wider scientific community.


Nucleic Acids Research | 2016

The Saccharomyces Genome Database Variant Viewer

Travis K. Sheppard; Benjamin C. Hitz; Stacia R. Engel; Giltae Song; Rama Balakrishnan; Gail Binkley; Maria C. Costanzo; Kyla S. Dalusag; Janos Demeter; Sage T. Hellerstedt; Kalpana Karra; Robert S. Nash; Kelley M. Paskov; Marek S. Skrzypek; Shuai Weng; Edith D. Wong; J. Michael Cherry

The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org) is the authoritative community resource for the Saccharomyces cerevisiae reference genome sequence and its annotation. In recent years, we have moved toward increased representation of sequence variation and allelic differences within S. cerevisiae. The publication of numerous additional genomes has motivated the creation of new tools for their annotation and analysis. Here we present the Variant Viewer: a dynamic open-source web application for the visualization of genomic and proteomic differences. Multiple sequence alignments have been constructed across high quality genome sequences from 11 different S. cerevisiae strains and stored in the SGD. The alignments and summaries are encoded in JSON and used to create a two-tiered dynamic view of the budding yeast pan-genome, available at http://www.yeastgenome.org/variant-viewer.


Genesis | 2015

Cross‐organism analysis using InterMine

Rachel Lyne; Julie Sullivan; Daniela Butano; Sergio Contrino; Joshua Heimbach; Fengyuan Hu; Alex Kalderimis; Mike Lyne; Richard N. Smith; Radek Štěpán; Rama Balakrishnan; Gail Binkley; Todd W. Harris; Kalpana Karra; Sierra A. T. Moxon; Howie Motenko; Steven B. Neuhauser; Leyla Ruzicka; Mike Cherry; Joel E. Richardson; Lincoln Stein; Monte Westerfield; Elizabeth A. Worthey; Gos Micklem

InterMine is a data integration warehouse and analysis software system developed for large and complex biological data sets. Designed for integrative analysis, it can be accessed through a user‐friendly web interface. For bioinformaticians, extensive web services as well as programming interfaces for most common scripting languages support access to all features. The web interface includes a useful identifier look‐up system, and both simple and sophisticated search options. Interactive results tables enable exploration, and data can be filtered, summarized, and browsed. A set of graphical analysis tools provide a rich environment for data exploration including statistical enrichment of sets of genes or other entities. InterMine databases have been developed for the major model organisms, budding yeast, nematode worm, fruit fly, zebrafish, mouse, and rat together with a newly developed human database. Here, we describe how this has facilitated interoperation and development of cross‐organism analysis tools and reports. InterMine as a data exploration and analysis tool is also described. All the InterMine‐based systems described in this article are resources freely available to the scientific community. genesis 53:547–560, 2015.


Developmental Biology | 2017

XenMine: A genomic interaction tool for the Xenopus community.

Christine D. Reid; Kalpana Karra; Jessica Chang; Robert Piskol; Qin Li; Jin Billy Li; J. Michael Cherry; Julie C. Baker

The Xenopus community has embraced recent advances in sequencing technology, resulting in the accumulation of numerous RNA-Seq and ChIP-Seq datasets. However, easily accessing and comparing datasets generated by multiple laboratories is challenging. Thus, we have created a central space to view, search and analyze data, providing essential information on gene expression changes and regulatory elements present in the genome. XenMine (www.xenmine.org) is a user-friendly website containing published genomic datasets from both Xenopus tropicalis and Xenopus laevis. We have established an analysis pipeline where all published datasets are uniformly processed with the latest genome releases. Information from these datasets can be extracted and compared using an array of pre-built or custom templates. With these search tools, users can easily extract sequences for all putative regulatory domains surrounding a gene of interest, identify the expression values of a gene of interest over developmental time, and analyze lists of genes for gene ontology terms and publications. Additionally, XenMine hosts an in-house genome browser that allows users to visualize all available ChIP-Seq data, extract specifically marked sequences, and aid in identifying important regulatory elements within the genome. Altogether, XenMine is an excellent tool for visualizing, accessing and querying analyzed datasets rapidly and efficiently.


Database | 2016

Integration of new alternative reference strain genome sequences into the Saccharomyces genome database

Giltae Song; Rama Balakrishnan; Gail Binkley; Maria C. Costanzo; Kyla S. Dalusag; Janos Demeter; Stacia R. Engel; Sage T. Hellerstedt; Kalpana Karra; Benjamin C. Hitz; Robert S. Nash; Kelley M. Paskov; Travis K. Sheppard; Marek S. Skrzypek; Shuai Weng; Edith D. Wong; J. Michael Cherry

The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org/) is the authoritative community resource for the Saccharomyces cerevisiae reference genome sequence and its annotation. To provide a wider scope of genetic and phenotypic variation in yeast, the genome sequences and their corresponding annotations from 11 alternative S. cerevisiae reference strains have been integrated into SGD. Genomic and protein sequence information for genes from these strains are now available on the Sequence and Protein tab of the corresponding Locus Summary pages. We illustrate how these genome sequences can be utilized to aid our understanding of strain-specific functional and phenotypic differences. Database URL: www.yeastgenome.org

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Gos Micklem

University of Cambridge

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