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L. Iacumin

dblp:311/2979 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 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
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 › sequence analysis › sequence assembly › genome assembly
bacterial genome assembly
0.612022
WGA-LP: a pipeline for whole genome assembly of contaminated reads · Bioinform. 2022
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly
0.612022
WGA-LP: a pipeline for whole genome assembly of contaminated reads · Bioinform. 2022

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

decontamination pipeline · 0.6
YearPublicationVenuePosition
2022 WGA-LP: a pipeline for whole genome assembly of contaminated reads
abstract
SUMMARY: Whole genome assembly (WGA) of bacterial genomes with short reads is a quite common task as DNA sequencing has become cheaper with the advances of its technology. The process of assembling a genome has no absolute golden standard and it requires to perform a sequence of steps each of which can involve combinations of many different tools. However, the quality of the final assembly is always strongly related to the quality of the input data. With this in mind we built WGA-LP, a package that connects state-of-the-art programs for microbial analysis and novel scripts to check and improve the quality of both samples and resulting assemblies. WGA-LP, with its conservative decontamination approach, has shown to be capable of creating high quality assemblies even in the case of contaminated reads. AVAILABILITY AND IMPLEMENTATION: WGA-LP is available on GitHub (https://github.com/redsnic/WGA-LP) and Docker Hub (https://hub.docker.com/r/redsnic/wgalp). The web app for node visualization is hosted by shinyapps.io (https://redsnic.shinyapps.io/ContigCoverageVisualizer/). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Nicolò Rossi, Andrea Colautti, L. Iacumin, Carla Piazza
Bioinform.3