The bioinformatic pipeline (A) began with Illumina MiSeq data previously collected from a porcupine fecal DNA sequencing project [14]. Reads were checked for quality and trimmed, concatemerized via MegaHit [15], and open reading frames were identified using Prodigal [16]. Protein sequences of interest were identified by pHMMER [17] using various protein databases and were selected for matches of interest based on e-value selection. (B) Top putative microbial enzymes identified by the metagenomic sequencing pipeline; putative signal sequences are shown in orange and predicted conserved protein domains are shown.</p
Biotechnology has the potential for biofuel production from plants biomass. However, the number of c...
Functional metagenomic approach with high-throughput screening can be used to identify tapped and un...
In this study, metagenomics was applied to characterize the microbial community and to discover carb...
Plant cell walls are composed of cellulose, hemicellulose, and lignin, collectively known as lignoce...
Plant cell walls are composed of cellulose, hemicellulose, and lignin, collectively known as lignoce...
Recent advances in sequencing technologies generate new predictions and hypotheses about the functio...
The world economy is moving toward the use of renewable and nonedible lignocellulosic biomasses as s...
Metagenomic DNA library from palm oil mill effluent (POME) was constructed and subjected to high-thr...
A) Functional description of putative enzymes with corresponding e-values. The e-value is a measure ...
BackgroundCellulose is the most abundant organic polymer mainly produced by plants in nature. It is ...
AbstractFunctional metagenomics has emerged as a powerful method for gene model validation and enzym...
In this study, metagenomics was applied to characterize the microbial community and to discover carb...
<div><p>In this study, metagenomics was applied to characterize the microbial community and to disco...
The pressing need for clean renewable energy sources has aroused worldwide research interest on the ...
Background: Cellulose is the most abundant organic polymer mainly produced by plants in nature. It i...
Biotechnology has the potential for biofuel production from plants biomass. However, the number of c...
Functional metagenomic approach with high-throughput screening can be used to identify tapped and un...
In this study, metagenomics was applied to characterize the microbial community and to discover carb...
Plant cell walls are composed of cellulose, hemicellulose, and lignin, collectively known as lignoce...
Plant cell walls are composed of cellulose, hemicellulose, and lignin, collectively known as lignoce...
Recent advances in sequencing technologies generate new predictions and hypotheses about the functio...
The world economy is moving toward the use of renewable and nonedible lignocellulosic biomasses as s...
Metagenomic DNA library from palm oil mill effluent (POME) was constructed and subjected to high-thr...
A) Functional description of putative enzymes with corresponding e-values. The e-value is a measure ...
BackgroundCellulose is the most abundant organic polymer mainly produced by plants in nature. It is ...
AbstractFunctional metagenomics has emerged as a powerful method for gene model validation and enzym...
In this study, metagenomics was applied to characterize the microbial community and to discover carb...
<div><p>In this study, metagenomics was applied to characterize the microbial community and to disco...
The pressing need for clean renewable energy sources has aroused worldwide research interest on the ...
Background: Cellulose is the most abundant organic polymer mainly produced by plants in nature. It i...
Biotechnology has the potential for biofuel production from plants biomass. However, the number of c...
Functional metagenomic approach with high-throughput screening can be used to identify tapped and un...
In this study, metagenomics was applied to characterize the microbial community and to discover carb...