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Lissiene Silva Neiva

dblp:73/5756 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
mitochondrial genomics
0.112006
AMiGA: the arthropodan mitochondrial genomes accessible database · Bioinform. 2006
Bioinformatics and computational biology
comparative genomics
0.012006
AMiGA: the arthropodan mitochondrial genomes accessible database · Bioinform. 2006

Methods — techniques the papers use, named apart from their topics

multiple sequence alignment · 0.1
YearPublicationVenuePosition
2006 AMiGA: the arthropodan mitochondrial genomes accessible database
abstract
UNLABELLED: 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updated information resulting from a specific curation process called AMiGA Notes and (5) the possibility of including unpublished sequences in a password-restricted area for comparative analysis with the other sequences stored in the database.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