EDBT 2026 Demo / reviewers in the wild / expert
Lissiene Silva Neiva
dblp:73/5756
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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
mitochondrial genomics |
0.1 | 1 | 2006 | AMiGA: the arthropodan mitochondrial genomes accessible database · Bioinform. 2006 |
Bioinformatics and computational biology
comparative genomics |
0.0 | 1 | 2006 | AMiGA: the arthropodan mitochondrial genomes accessible database · Bioinform. 2006 |
Methods — techniques the papers use, named apart from their topics
multiple sequence alignment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | AMiGA: the arthropodan mitochondrial genomes accessible databaseabstractUNLABELLED: The Arthropodan Mitochondrial Genomes Accessible database (AMiGA) is a relational database developed to help in managing access to the increasing amount of data arising from developments in arthropodan mitochondrial genomics (136 mitochondrial genomes as of September 2005). The strengths of AMiGA include (1) a more accessible and up-to-date database containing a more comprehensive set of mitochondrial genomes for this phylum, (2) the provision of flexible search options for retrieving detailed information such as bibliographical data, genomic graphics, FASTA sequences and taxonomical status, (3) the possibility of enhanced comparative analyses by multiple alignment of single or concatenated sets of genes, (4) more accurate and updated information resulting from a specific curation process called AMiGA Notes and (5) the possibility of including unpublished sequences in a password-restricted area for comparative analysis with the other sequences stored in the database. AVAILABILITY: http://amiga.cbmeg.unicamp.br CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Detailed information, including an illustrated tutorial, is available from the above URL. Pedro Feijão, Lissiene Silva Neiva, Ana Maria Lima de Azeredo-Espin, Ana Cláudia Lessinger |
Bioinform. | 2 |