Demo Data from EDBT 2026 / reviewers in the wild / expert
Sergio Verjovski-Almeida
dblp:95/1218
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-6356-2401ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 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% |
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 |
0.1 | 2 | 2003 | ESTWeb: bioinformatics services for EST sequencing projects · Bioinform. 2003 Zerg: A Very Fast BLAST Parser Library · Bioinform. 2003 |
Bioinformatics and computational biology › sequence analysis
BLAST output parsing |
0.0 | 1 | 2003 | Zerg: A Very Fast BLAST Parser Library · Bioinform. 2003 |
Bioinformatics and computational biology › transcriptomics
expressed sequence tag analysis |
0.0 | 1 | 2003 | ESTWeb: bioinformatics services for EST sequencing projects · Bioinform. 2003 |
Methods — techniques the papers use, named apart from their topics
vector screening · 0.0basecalling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | The CUT&RUN greenlist: genomic regions of consistent noise are effective normalizing factors for quantitative epigenome mappingabstractCleavage Under Targets and Release Using Nuclease (CUT&RUN) is a recent development for epigenome mapping, but its unique methodology can hamper proper quantitative analyses. As traditional normalization approaches have been shown to be inaccurate, we sought to determine endogenous normalization factors based on the human genome regions of constant nonspecific signal. This constancy was determined by applying Shannon's information entropy, and the set of normalizer regions, which we named the 'Greenlist', was extensively validated using publicly available datasets. We demonstrate here that the greenlist normalization outperforms the current top standards, and remains consistent across different experimental setups, cell lines and antibodies; the approach can even be applied to different species or to CUT&Tag. Requiring no additional experimental steps and no added cost, this approach can be universally applied to CUT&RUN experiments to greatly minimize the interference of technical variation over the biological epigenome changes of interest. Fabio N. de Mello, Ana C. Tahira, Maria Gabriela Berzoti-Coelho, Sergio Verjovski-Almeida |
Briefings Bioinform. | 4 |
| 2003 | Zerg: A Very Fast BLAST Parser LibraryabstractSUMMARY: Zerg is a library of sub-routines that parses the output from all NCBI BLAST programs (Blastn, Blastp, Blastx, Tblastn and Tblastx) and returns the attributes of a BLAST report to the user. It is optimized for speed, being especially useful for large-scale genomic analysis. Benchmark tests show that Zerg is over two orders of magnitude faster than some widely used BLAST parsers. AVAILABILITY: http://bioinfo.iq.usp.br/zerg Apuã C. M. Paquola, Abimael A. Machado, Eduardo M. Reis, Aline Maria da Silva, Sergio Verjovski-Almeida |
Bioinform. | 5 |
| 2003 | ESTWeb: bioinformatics services for EST sequencing projectsabstractAbstract Summary: ESTWeb is an internet based software package designed for uniform data processing and storage for large-scale EST sequencing projects. The package provides for: (a) reception of sequencing chromatograms; (b) sequence processing such as base-calling, vector screening, comparison with public databases; (c) storage of data and analysis in a relational database, (d) generation of a graphical report of individual sequence quality; and (e) issuing of reports with statistics of productivity and redundancy. The software facilitates real-time monitoring and evaluation of EST sequence acquisition progress along an EST sequencing project. Availability: http://bioinfo.iq.usp.br/estweb Contact: [email protected] Supplementary information: http://bioinfo.iq.usp.br/estweb * To whom correspondence should be addressed. Apuã C. M. Paquola, Milton Y. Nishyiama Jr., Eduardo M. Reis, Aline Maria da Silva, Sergio Verjovski-Almeida |
Bioinform. | 5 |