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lecture_notes:04-26-2015

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======Team 4 Report: ABySS====== ABySS stands for Assembly by short sequences. =====Assembler Overview===== * Load kmers * Find adjacent kmers * Generate de Bruijn graphs =====Workflow===== * Generate paths through the reads * Merge paths * Generate contigs * ParseAligns: Empirical fragment-size distribution - Maximum Likelihood Estimator - Use empirical paired-end size distribution =====Running ABySS===== Single processor version: straight forward step * Qsub * Embedded qsub * Exporting paths * Abuss-pe [parameters] parallel environment in campusrocks2 Parameters: Primary Name: name of assembly K: size of k-mer If 1 library of pe data: In = ‘reads1.fq reads2.fq’ Pipeline organized via makefile: abyss-pe Autogenerated assembly statistics Contig, scafold metrics * Does not necessarily clean up things that failed. * It is better to manually clean the file. =====Using ABySS, the plan===== * Use all libraries, after processing, but no error correction * Run the seqprep * Run adapter trimming only * Run adapter trimming plus merging ====Initil run==== * The initial run is located on Edser * K = 55, arbitrary * Did not work =====For the future===== * Get parallel versions working * Finish data analysis (kmergenie, fastqc, etc) * Do assemblies * RNA-seq rescaffolding with TransABySS * Meta-assembly

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lecture_notes/04-26-2015.1430291926.txt.gz · Last modified: 2015/04/29 07:18 by gepoliano