Demo Data from EDBT 2026 / reviewers in the wild / expert
Deanna M. Church
dblp:69/3794
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0003-4264-1853ORCID · 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
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly |
0.3 | 1 | 2017 | Building and Improving Reference Genome Assemblies · Proc. IEEE 2017 |
Bioinformatics and computational biology
genomics |
0.3 | 1 | 2017 | Building and Improving Reference Genome Assemblies · Proc. IEEE 2017 |
Algorithms and data structures › computational biology
sequence analysis algorithms |
0.1 | 1 | 2017 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Building and Improving Reference Genome AssembliesabstractA 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. IEEE | 6 |
| 2010 | High-throughput sequencing of the DBA/2J mouse genomeabstractThe DBA/2J mouse is not only the oldest inbred strain, but also one of the most widely used strains. DBA/2J exhibits many unique anatomical, physiological, and behavior traits. In addition, DBA/2J is one parent of the large BXD family of recombinant inbred strains [ 1 ]. The genome of the other parent of this BXD family—C57BL/6J—has been sequenced and serves as the mouse reference genome [ 2 ]. We sequenced the genome of DBA/2J using SOLiD and Illumina high throughput short read protocols to generate a comprehensive set of ~5 million sequence variants segregating in the BXD family that ultimately cause developmental, anatomical, functional and behavioral differences among these 80+ strains. We generated approximately 13.2 and 38.9× whole-genome short reads of DBA/2J females using Illumina GA2 and ABI SOLiD massively parallel DNA sequencing platforms. Comparing to the C57BL/6J reference genome sequence, we identified over 4.5 million single nucleotide polymorphisms (SNPs), including 84 nonsense and ~11,000 missense mutations, 78% of which are novel. We also detected ~568,000 insertions and deletions (indels) within single short reads and ~9,400 between mate-paired reads. Approximately 300 inversions were detected by SOLiD mate-pair reads, 46 of which span at least one exon. In addition, we identified ~22,000 copy number variants (CNVs) in the range of 1 Kb to 100 Kb (Figure 1 ). Concentric circles represent the sequence and structural variation across mouse chromosomes. Moving inward from the outer circle, circle 1 denotes each chromosome. Circle 2, read depth with 100kb window. Circle 3, SNP density with 100kb windows (black is lowest density and orange is highest density). Circle 4, Indels density with 100kb window. Circle 4, Inversion. Circle 5, CNVs, blue (outward) denotes loss of CNVs and green (inward) denotes gains of CNVs. Our study generates the first consensus sequence for the DBA/2J and creates a compendium of sequence and structural variations that will be used by the community of researchers who study complex traits in mouse models. The sequence data provide a novel resource with which to initiate reverse genetic analysis of complex traits, particularly by exploiting strong alleles (premature stop codons, frame-shift mutations, and deletion) that differentially affect members of the BXD strain family. The DBA/2J genome is also an essential prerequisite to unbiased alignment of RNA-seq and ChIP-seq data generated using BXD strains and any other cross involving these two common parental strains. Richa Agarwala, John A. Capra, Zugen Chen, Deanna M. Church, Daniel C. Ciobanu, Zhengsheng Li, Lu Lu 0004, Khyobeni Mozhui, Megan K. Mulligan, Stanley F. Nelson, Katherine S. Pollard, Donald B. Thomason, Robert W. Williams |
BMC Bioinform. | 5 |