Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael Wigler
dblp:87/3156
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2008
0000-0003-4396-1971ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genomics |
0.1 | 1 | 2006 | PROBER: oligonucleotide FISH probe design software · Bioinform. 2006 |
Bioinformatics and computational biology
probe design |
0.1 | 1 | 2006 | PROBER: oligonucleotide FISH probe design software · Bioinform. 2006 |
Methods — techniques the papers use, named apart from their topics
repetitive sequence masking · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Classification method for microarray probe selection using sequence, thermodynamics and secondary structure parametersabstractProbe design is the most important step for any microarray based assay. Accurate and efficient probe design and selection for the target sequence is critical in generating reliable and useful results. Several different approaches for probe design are reported in literature and an increasing number of bioinformatics tools are available for the same. However, based on the reported low accuracy, determining the hybridization efficiency of the probes is still a big computational challenge. Present study deals with the extraction of various novel features related to sequence composition, thermodynamics and secondary structure that may be essential for designing good probes. A feature selection method has been used to assess the relative importance of all these features. In this paper, we validate the importance of various features currently used for designing an oligonucleotide probe. Finally, a classification methodology is presented that can be used to predict the hybridization quality of a probe. Lalit Gupta, Shaik Rafi, Nevenka Dimitrova, Aparna Gortha, B. Lakshmi, Deepa Pai, Sitharthan Kamalakaran, Xiaoyue Zhao, Michael Wigler |
ICPR | 11 |
| 2006 | PROBER: oligonucleotide FISH probe design softwareabstractUNLABELLED: PROBER is an oligonucleotide primer design software application that designs multiple primer pairs for generating PCR probes useful for fluorescence in situ hybridization (FISH). PROBER generates Tiling Oligonucleotide Probes (TOPs) by masking repetitive genomic sequences and delineating essentially unique regions that can be amplified to yield small (100-2000 bp) DNA probes that in aggregate will generate a single, strong fluorescent signal for regions as small as a single gene. TOPs are an alternative to bacterial artificial chromosomes (BACs) that are commonly used for FISH but may be unstable, unavailable, chimeric, or non-specific to small (10-100 kb) genomic regions. PROBER can be applied to any genomic locus, with the limitation that the locus must contain at least 10 kb of essentially unique blocks. To test the software, we designed a number of probes for genomic amplifications and hemizygous deletions that were initially detected by Representational Oligonucleotide Microarray Analysis of breast cancer tumors. AVAILABILITY: http://prober.cshl.edu Nicholas Navin, Vladimir Grubor, Jim Hicks, Evan Leibu, Elizabeth Thomas, Jennifer Troge, Michael Riggs, Pär Lundin, Susanne Månér, Jonathan Sebat, Anders Zetterberg, Michael Wigler |
Bioinform. | 12 |
| 2001 | Placing Probes along the Genome Using Pairwise Distance Data
William Casey, Bud Mishra, Michael Wigler |
WABI | 3 |