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Motivation: One blind spot of the reference-based mapping approach is that it cannot detect novel sequence insertions, such as a Tn7 insertion into a genome of interest.
Implementation: As an accessory tool that performs a post-processing step in Python that calls a de novo assembler and analyzes its results, integrate the predictions with the normal breseq output files to elaborate upon them.
Filter unmapped reads to remove junk so there is better input to the assembler
Decide on the best, most lightweight assembler to support
Provide functionality for scanning/testing different assembly parameters and judging different contigs.
Output a new reference sequence file containing the good contigs that could be re-input for a new round of breseq processing that might, for example, show where/how these sequences are inserted precisely.
The text was updated successfully, but these errors were encountered:
Motivation: One blind spot of the reference-based mapping approach is that it cannot detect novel sequence insertions, such as a Tn7 insertion into a genome of interest.
Implementation: As an accessory tool that performs a post-processing step in Python that calls a de novo assembler and analyzes its results, integrate the predictions with the normal breseq output files to elaborate upon them.
The text was updated successfully, but these errors were encountered: