Demo Data from EDBT 2026 / reviewers in the wild / expert
Alicia T. Specht
dblp:197/8271
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
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% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › network bioinformatics › biological network analysis › gene co-expression network analysis
gene coexpression network construction |
0.3 | 1 | 2017 | LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering · Bioinform. 2017 |
Bioinformatics and computational biology › single-cell analysis
single-cell RNA sequencing |
0.3 | 1 | 2017 | LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering · Bioinform. 2017 |
Bioinformatics and computational biology › single-cell analysis › single-cell transcriptomics
pseudotime estimation |
0.1 | 1 | 2017 | LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering · Bioinform. 2017 |
Methods — techniques the papers use, named apart from their topics
time-delay co-expression analysis · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime orderingabstractSummary: To construct gene co-expression networks based on single-cell RNA-Sequencing data, we present an algorithm called LEAP, which utilizes the estimated pseudotime of the cells to find gene co-expression that involves time delay. Availability and Implementation: R package LEAP available on CRAN. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online. Alicia T. Specht, Jun Li 0052 |
Bioinform. | 1 |
| 2017 | Widespread position-specific conservation of synonymous rare codons within coding sequencesabstractSynonymous rare codons are considered to be sub-optimal for gene expression because they are translated more slowly than common codons. Yet surprisingly, many protein coding sequences include large clusters of synonymous rare codons. Rare codons at the 5' terminus of coding sequences have been shown to increase translational efficiency. Although a general functional role for synonymous rare codons farther within coding sequences has not yet been established, several recent reports have identified rare-to-common synonymous codon substitutions that impair folding of the encoded protein. Here we test the hypothesis that although the usage frequencies of synonymous codons change from organism to organism, codon rarity will be conserved at specific positions in a set of homologous coding sequences, for example to tune translation rate without altering a protein sequence. Such conservation of rarity-rather than specific codon identity-could coordinate co-translational folding of the encoded protein. We demonstrate that many rare codon cluster positions are indeed conserved within homologous coding sequences across diverse eukaryotic, bacterial, and archaeal species, suggesting they result from positive selection and have a functional role. Most conserved rare codon clusters occur within rather than between conserved protein domains, challenging the view that their primary function is to facilitate co-translational folding after synthesis of an autonomous structural unit. Instead, many conserved rare codon clusters separate smaller protein structural motifs within structural domains. These smaller motifs typically fold faster than an entire domain, on a time scale more consistent with translation rate modulation by synonymous codon usage. While proteins with conserved rare codon clusters are structurally and functionally diverse, they are enriched in functions associated with organism growth and development, suggesting an important role for synonymous codon usage in organism physiology. The identification of conserved rare codon clusters advances our understanding of distinct, functional roles for otherwise synonymous codons and enables experimental testing of the impact of synonymous codon usage on the production of functional proteins. Julie L. Chaney, Aaron Steele, Rory Carmichael, Anabel Rodriguez, Alicia T. Specht, Kim Ngo, Jun Li 0052, Scott J. Emrich, Patricia L. Clark |
PLoS Comput. Biol. | 5 |