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Daniel C. Morais 0002

dblp:193/9957-2 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0003-3328-7848ORCID · 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 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › metagenomics › amplicon sequencing
amplicon sequencing analysis
0.312018
SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses · Bioinform. 2018
Bioinformatics and computational biology
metagenomics
0.312018
SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses · Bioinform. 2018
Bioinformatics and computational biology › computational microbiology
microbiome analysis
0.312018
SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses · Bioinform. 2018
Bioinformatics and computational biology › metagenomics
operational taxonomic unit clustering
0.312018
SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses · Bioinform. 2018

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

sequence alignment · 0.3phylogenetic tree construction · 0.3
YearPublicationVenuePosition
2018 SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
abstract
Motivation: Modern molecular methods have increased our ability to describe microbial communities. Along with the advances brought by new sequencing technologies, we now require intensive computational resources to make sense of the large numbers of sequences continuously produced. The software developed by the scientific community to address this demand, although very useful, require experience of the command-line environment, extensive training and have steep learning curves, limiting their use. We created SEED 2, a graphical user interface for handling high-throughput amplicon-sequencing data under Windows operating systems. Results: SEED 2 is the only sequence visualizer that empowers users with tools to handle amplicon-sequencing data of microbial community markers. It is suitable for any marker genes sequences obtained through Illumina, IonTorrent or Sanger sequencing. SEED 2 allows the user to process raw sequencing data, identify specific taxa, produce of OTU-tables, create sequence alignments and construct phylogenetic trees. Standard dual core laptops with 8 GB of RAM can handle ca. 8 million of Illumina PE 300 bp sequences, ca. 4 GB of data. Availability and implementation: SEED 2 was implemented in Object Pascal and uses internal functions and external software for amplicon data processing. SEED 2 is a freeware software, available at http://www.biomed.cas.cz/mbu/lbwrf/seed/ as a self-contained file, including all the dependencies, and does not require installation. Supplementary data contain a comprehensive list of supported functions. Supplementary information: Supplementary data are available at Bioinformatics online.
Tomás Vetrovský, Petr Baldrian, Daniel C. Morais 0002
Bioinform.3