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The raw 75 bp Solexa reads of the gsNd database were analyzed by the mapping algorithms, Efficient Large scale Alignment of Nucleotide Databases (ELAND), which is built in with the Solexa sequence analysis pipeline of the Illumina sequencer [ 24].
The sequence analysis pipeline is available at https://github.com/colford/nbgw-plant-illumina-pipeline.
Base calling and quality control were performed on the Illumina RTA v1.13 (Illumina) sequence analysis pipeline.
To determine the possible level of assembly of sequence clusters, total DNA and mRNA sequences were analyzed using a metagenomic sequence analysis pipeline developed at CAMERA Community Cyberinfrastructuree for Advanced Marine Microbial Ecology Research and Analysis [20]) (access to this pipeline can be arranged by contacting the corresponding author).
Figure 2 outlines the sequence analysis pipeline.
The second method analyzed the resulting raw sequence reads using the sequence analysis pipeline Mothur.
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To deal with these massive data, elaborated sequence analysis pipelines are employed.
Merging paired-end reads is the first processing step in a plethora of sequence analysis pipelines.
A crucial step within most sequence analysis pipelines is the process of clustering.
Custom Python (BioPython modules) and Perl (BioPerl modules, ENSEMBL API) scripts were used in sequence analysis pipelines.
CloVR [ 25], meanwhile, provides a virtualized machine containing multiple microbial sequence analysis pipelines, including one for metagenomics.
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