4 documents found, page 1 of 1

Sort by Issue Date

Systematic assessment of template-based genome-scale metabolic models created w...

Oliveira, Alexandre Rafael Machado; Cunha, Emanuel; Cruz, Fernando João Pereira; Capela, João; Sequeira, J. C.; Sampaio, Marta; Ganâncio, Cláudia

Genome-scale metabolic models (GEMs) are essential tools for in silico phenotype prediction and strain optimisation. The most straightforward GEMs reconstruction approach uses published models as templates to generate theinitial draft, requiring further curation. Such an approachis used by BiGG Integration Tool (BIT), available for merlin users. This tool uses models from BiGG Models database as templates for t...


UPIMAPI, reCOGnizer and KEGGCharter: bioinformatics tools for functional annota...

Sequeira, J. C.; Rocha, Miguel; Alves, M. M.; Salvador, Andreia Filipa Ferreira

All the scripts and commands used in this paper are available at: https://github.com/iquasere/annotation_paper. The real dataset analysed in this paper was deposited in ENA database under the study accession PRJEB50269 (https://www.ebi.ac.uk/ena/browser/view/PRJEB50269).; Omics and meta-omics technologies are powerful approaches to explore microorganisms functions, but the sheer size and complexity of omics dat...


Corksorb enhances alkane degradation by hydrocarbonoclastic bacteria

Martins, Valdo R.; Freitas, C.; Castro, Rita; Silva, Ana Rita Marques; Gudiña, Eduardo José; Sequeira, J. C.; Salvador, Andreia Filipa Ferreira

Biosorbent materials are effective in the removal of spilled oil from water, but their effect on hydrocarbonoclastic bacteria is not known. Here, we show that corksorb, a cork-based biosorbent, enhances growth and alkane degradation by Rhodococcus opacus B4 (Ro) and Alcanivorax borkumensis SK2 (Ab). Ro and Ab degraded 96 ± 1% and 72 ± 2%, respectively, of a mixture of n-alkanes (2 g L1) in the presence of corks...


MOSCA: an automated pipeline for integrated metagenomics and metatranscriptomic...

Sequeira, J. C.; Rocha, Miguel; Alves, M. M.; Salvador, Andreia Filipa Ferreira

Metagenomics (MG) and Metatranscriptomics (MT) approaches open new perspectives on the interpretation of biological systems composed by complex microbial communities. Dealing with large sequencing datasets, to extract the desired information and interpret the results are big challenges associated with meta-omics studies. There are several bioinformatics pipelines for MG data analysis and less to MT. Up to date,...


4 Results

Queried text

Refine Results

Author



















More optionsLess options

Date




Document Type



Funding



Access rights



Resource


Subject





















More optionsLess options