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      Transcriptome Assembly of the Bast Fiber Crop, Ramie, Boehmeria nivea (L.) Gaud. (Urticaceae)

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      Fibers
      MDPI AG

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          De novo assembly and analysis of RNA-seq data.

          We describe Trans-ABySS, a de novo short-read transcriptome assembly and analysis pipeline that addresses variation in local read densities by assembling read substrings with varying stringencies and then merging the resulting contigs before analysis. Analyzing 7.4 gigabases of 50-base-pair paired-end Illumina reads from an adult mouse liver poly(A) RNA library, we identified known, new and alternative structures in expressed transcripts, and achieved high sensitivity and specificity relative to reference-based assembly methods.
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            CAP3: A DNA sequence assembly program.

            X. Huang (1999)
            We describe the third generation of the CAP sequence assembly program. The CAP3 program includes a number of improvements and new features. The program has a capability to clip 5' and 3' low-quality regions of reads. It uses base quality values in computation of overlaps between reads, construction of multiple sequence alignments of reads, and generation of consensus sequences. The program also uses forward-reverse constraints to correct assembly errors and link contigs. Results of CAP3 on four BAC data sets are presented. The performance of CAP3 was compared with that of PHRAP on a number of BAC data sets. PHRAP often produces longer contigs than CAP3 whereas CAP3 often produces fewer errors in consensus sequences than PHRAP. It is easier to construct scaffolds with CAP3 than with PHRAP on low-pass data with forward-reverse constraints.
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              The First 50 Plant Genomes

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                Author and article information

                Journal
                FIBECU
                Fibers
                Fibers
                MDPI AG
                2079-6439
                March 2018
                February 01 2018
                : 6
                : 1
                : 8
                Article
                10.3390/fib6010008
                138f92ca-f062-4cf8-af56-657b82dc7e47
                © 2018

                https://creativecommons.org/licenses/by/4.0/

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