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Karyn Meltz Steinberg

dblp:12/8709 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0002-8676-3337ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

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
1 paper
Bioinformatics and computational biology · 100%
Theoretical computer science
1 paper
Algorithms and data structures · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly
0.312017
Building and Improving Reference Genome Assemblies · Proc. IEEE 2017
Bioinformatics and computational biology
genomics
0.312017
Building and Improving Reference Genome Assemblies · Proc. IEEE 2017
Algorithms and data structures › computational biology
sequence analysis algorithms
0.112017
Building and Improving Reference Genome Assemblies · Proc. IEEE 2017

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

sequencing technology · 0.6assembly algorithms · 0.3assembly algorithm · 0.3
YearPublicationVenuePosition
2017 Building and Improving Reference Genome Assemblies
abstract
A genome sequence assembly provides the foundation for studies of genotypic and phenotypic variation, genome structure, and evolution of the target organism. In the past four decades, there has been a surge of new sequencing technologies, and with these developments, computational scientists have developed new algorithms to improve genome assembly. Here we discuss the relationship between sequencing technology improvements and assembly algorithm development and how these are applied to extend and improve human and nonhuman genome assemblies.
Karyn Meltz Steinberg, Valerie A. Schneider, Can Alkan, Michael J. Montague, Wesley C. Warren, Deanna M. Church, Richard K. Wilson
Proc. IEEE1
2010 SeqAnt: A web service to rapidly identify and annotate DNA sequence variations
abstract
BACKGROUND: The enormous throughput and low cost of second-generation sequencing platforms now allow research and clinical geneticists to routinely perform single experiments that identify tens of thousands to millions of variant sites. Existing methods to annotate variant sites using information from publicly available databases via web browsers are too slow to be useful for the large sequencing datasets being routinely generated by geneticists. Because sequence annotation of variant sites is required before functional characterization can proceed, the lack of a high-throughput pipeline to efficiently annotate variant sites can act as a significant bottleneck in genetics research. RESULTS: SeqAnt (Sequence Annotator) is an open source web service and software package that rapidly annotates DNA sequence variants and identifies recessive or compound heterozygous loci in human, mouse, fly, and worm genome sequencing experiments. Variants are characterized with respect to their functional type, frequency, and evolutionary conservation. Annotated variants can be viewed on a web browser, downloaded in a tab-delimited text file, or directly uploaded in a BED format to the UCSC genome browser. To demonstrate the speed of SeqAnt, we annotated a series of publicly available datasets that ranged in size from 37 to 3,439,107 variant sites. The total time to completely annotate these data completely ranged from 0.17 seconds to 28 minutes 49.8 seconds. CONCLUSION: SeqAnt is an open source web service and software package that overcomes a critical bottleneck facing research and clinical geneticists using second-generation sequencing platforms. SeqAnt will prove especially useful for those investigators who lack dedicated bioinformatics personnel or infrastructure in their laboratories.
Amol Carl Shetty, Prashanth Athri, Kajari Mondal, Vanessa L. Horner, Karyn Meltz Steinberg, Viren Patel, Tamara Caspary, David J. Cutler, Michael E. Zwick
BMC Bioinform.5