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Igor V. Grigoriev

dblp:76/3785 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-3136-8903ORCID · verified

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 › genome annotation
gene prediction
0.312017
FunGAP: Fungal Genome Annotation Pipeline using evidence-based gene model evaluation · Bioinform. 2017
Bioinformatics and computational biology
genome annotation
0.312017
FunGAP: Fungal Genome Annotation Pipeline using evidence-based gene model evaluation · Bioinform. 2017

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

multiple gene predictors · 0.3homology-based scoring · 0.3
YearPublicationVenuePosition
2017 FunGAP: Fungal Genome Annotation Pipeline using evidence-based gene model evaluation
abstract
MOTIVATION: Successful genome analysis depends on the quality of gene prediction. Although fungal genome sequencing and assembly have become trivial, its annotation procedure has not been standardized yet. RESULTS: FunGAP predicts protein-coding genes in a fungal genome assembly. To attain high-quality gene models, this program runs multiple gene predictors, evaluates all predicted genes, and assembles gene models that are highly supported by homology to known sequences. To do this, we built a scoring function to estimate the congruency of each gene model based on known protein or domain homology. AVAILABILITY AND IMPLEMENTATION: FunGAP is written in Python script and is available in GitHub ( https://github.com/CompSynBioLab-KoreaUniv/FunGAP ). This software is freely available only for noncommercial users. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Byoungnam Min, Igor V. Grigoriev, In-Geol Choi
Bioinform.2