Demo Data from EDBT 2026 / reviewers in the wild / expert
Towfique Raj
dblp:22/498
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021
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% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
High-performance computing · 100% |
Topics — the 8 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics › fine-mapping
causal variant identification |
0.6 | 1 | 2022 | echolocatoR: an automated end-to-end statistical and functional genomic fine-mapping pipeline · Bioinform. 2022 |
Bioinformatics and computational biology › statistical genetics
fine-mapping |
0.6 | 1 | 2022 | echolocatoR: an automated end-to-end statistical and functional genomic fine-mapping pipeline · Bioinform. 2022 |
Bioinformatics and computational biology
functional genomics |
0.6 | 1 | 2022 | echolocatoR: an automated end-to-end statistical and functional genomic fine-mapping pipeline · Bioinform. 2022 |
Bioinformatics and computational biology › biostatistics › statistical bioinformatics
statistical genomics |
0.6 | 1 | 2022 | echolocatoR: an automated end-to-end statistical and functional genomic fine-mapping pipeline · Bioinform. 2022 |
Bioinformatics and computational biology
genomics |
0.0 | 1 | 2004 | me-PCR: a refined ultrafast algorithm for identifying sequence-defined genomic elements · Bioinform. 2004 |
Bioinformatics and computational biology › sequence analysis
in silico PCR |
0.0 | 1 | 2004 | me-PCR: a refined ultrafast algorithm for identifying sequence-defined genomic elements · Bioinform. 2004 |
Bioinformatics and computational biology
sequence analysis |
0.0 | 1 | 2004 | me-PCR: a refined ultrafast algorithm for identifying sequence-defined genomic elements · Bioinform. 2004 |
Bioinformatics and computational biology › sequence analysis › sequence similarity search
sequence database search |
0.0 | 1 | 2004 | me-PCR: a refined ultrafast algorithm for identifying sequence-defined genomic elements · Bioinform. 2004 |
Methods — techniques the papers use, named apart from their topics
quantitative trait loci · 0.6linkage disequilibrium · 0.6epigenomics · 0.6string matching · 0.1multithreading · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | echolocatoR: an automated end-to-end statistical and functional genomic fine-mapping pipelineabstractSUMMARY: echolocatoR integrates a diverse suite of statistical and functional fine-mapping tools to identify, test enrichment in, and visualize high-confidence causal consensus variants in any phenotype. It requires minimal input from users (a summary statistics file), can be run in a single R function, and provides extensive access to relevant datasets (e.g. reference linkage disequilibrium panels, quantitative trait loci, genome-wide annotations, cell-type-specific epigenomics), thereby enabling rapid, robust and scalable end-to-end fine-mapping investigations. AVAILABILITY AND IMPLEMENTATION: echolocatoR is an open-source R package available through GitHub under the GNU General Public License (Version 3) license: https://github.com/RajLabMSSM/echolocatoR. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Brian M. Schilder, Jack Humphrey, Towfique Raj |
Bioinform. | 3 |
| 2004 | me-PCR: a refined ultrafast algorithm for identifying sequence-defined genomic elementsabstractAbstract Summary: We have adapted the originally described electronic PCR (e-PCR) algorithm to perform string searches more accurately and much more rapidly than previously possible. Our implementation [multithreaded e-PCR (me-PCR)] runs sufficiently fast to allow even desktop machines to query quickly large genomes with very large genomic element sets. In addition, me-PCR is multithreaded, interprets all IUPAC nucleotide symbols, allows searches with elements specified by long sequences (such as SNPs), accepts ranges in the expected PCR size input field, requires substantially less memory for analysis of large sequences and corrects a number of minor flaws causing misreporting of hits in exceptional cases. Thus, me-PCR provides increased annotation capabilities for complex genomes to non-expert laboratories. Availability: me-PCR has been compiled for Linux, Solaris, AIX, Windows and Macintosh platforms. Both source and executable code are freely available to the research community at http://genome.chop.edu/mePCR/ Kevin Murphy 0005, Towfique Raj, R. Scott Winters, Peter S. White |
Bioinform. | 2 |