We used the JR-Assembler to create a de novo assembly of the CB4856 genome.
Given two sets of 454 reads (readA and readB) from different genomes, we first used the newbler assembler to create two independent sets of contigs, named as contigA and contigB.
For the WesB genome, sequence data were initially assembled with Short Oligonucleotide Alignment Program (SOAP) [ 34] and subsequently Newbler Assembler software was used to create a combined assembly with Illumina reads.
The reads from each subset were assembled by MIA (Mapping Iterativ Assembler, http://sourceforge.net/projects/mia-assembler/) to create a consensus contig using the mtgenome of H. lar (GenBank X99256.1) as the reference sequence.
Here, Newbler GS De Novo Assembler 2.5.3 (Roche, Branford, CT, USA) was used to create a sunflower transcriptome assembly (see Figure 1, part 1 and 2).
The resulting contigs from both assemblers were merged with 8,715 PUTs (putative unique transcripts) assembled from ESTs at plantgdb.org [ 37] to create a more comprehensive set of PUTs from P. abies.
Once such overlaps structures among the sequence reads are determined, the assembler places the reads in a lay-out and combines the reads together to create a consensus sequence not unlike how one solves a complex jigsaw puzzle.
Unlike de novo assemblers or the iterative alignment-based assembly done by IMR, our approach works by doing a one-time global alignment which is used to predict SVs and correct them directly to create a personal genomic sequence.
Most of these peptide assemblers utilize an alternating hydrophilic hydrophobic amino acid motif to create an amphiphilic structure and thereby drive β-sheet self-assembly.
The native input for the assembler are paired-end sequences, so we used the script fakePairedReads.pl, available into the VICUNA package, to create an artificially paired-end reads input dataset.
