SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F18%3A00492157" target="_blank" >RIV/61388971:_____/18:00492157 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1093/bioinformatics/bty071" target="_blank" >http://dx.doi.org/10.1093/bioinformatics/bty071</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/bioinformatics/bty071" target="_blank" >10.1093/bioinformatics/bty071</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
Popis výsledku v původním jazyce
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. nResults: 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. nAvailability 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://d360prx.biomed.cas.cz:2305/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.
Název v anglickém jazyce
SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
Popis výsledku anglicky
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. nResults: 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. nAvailability 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://d360prx.biomed.cas.cz:2305/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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10606 - Microbiology
Návaznosti výsledku
Projekt
<a href="/cs/project/LM2015055" target="_blank" >LM2015055: Centrum pro systémovou biologii</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Bioinformatics
ISSN
1367-4803
e-ISSN
—
Svazek periodika
34
Číslo periodika v rámci svazku
13
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
3
Strana od-do
2292-2294
Kód UT WoS článku
000438247800084
EID výsledku v databázi Scopus
2-s2.0-85050808964