Connor 0.5.1

Overview

When analyzing deep-sequence NGS data it is sometimes difficult to distinguish sequencing and PCR errors from rare variants; as a result some variants may be missed and some will be identified with an inaccurate variant frequency. To address this, researchers can attach random barcode sequences during sample preparation. Upon sequencing, the barcodes act as a signature to trace the set of PCR amplified molecules back to the original biological molecules of interest thereby differentiating rare variants in the original molecule from errors introduced downstream.

Connor accepts a barcoded, paired alignment file (BAM), groups those input alignments into families, combines each family into a consensus alignment, and emits the set of deduplicated, consensus alignments (BAM).

Connor workflow:

Sequencing [FASTQ 1/2] -> Aligner [BAM] -> Connor [BAM] -> Variant Detection [VCF]

Connor first groups original alignments into alignment families based on their alignment position and Universal Molecular Tag (UMT) barcode. (Connor assumes the incoming aligned sequences begin with the UMT barcode.) Each family of alignments is then combined into a single consensus alignment; discrepancies in base-calls and qualities are resolved by majority vote across family members. By default, smaller families (<3 align pairs) are excluded.

For more information see:

• QUICKSTART : get started deduplicating bacoded BAMs.

• INSTALL : alternative ways to install.

• METHODS : details on UMT barcode structure, suggestions on alignment parameters, details on family grouping, and examples.

Connor help

$ connor --help
 usage: connor input_bam output_bam

 positional arguments:
   input_bam             path to input BAM
   output_bam            path to deduplicated output BAM

 optional arguments:
   -h, --help            show this help message and exit
   -V, --version         show program's version number and exit
   -v, --verbose         print all log messages to console
   --log_file LOG_FILE   ={output_filename}.log. Path to verbose log file
   --annotated_output_bam ANNOTATED_OUTPUT_BAM
                         path to output BAM containing all original aligns annotated with BAM tags
   -f CONSENSUS_FREQ_THRESHOLD, --consensus_freq_threshold CONSENSUS_FREQ_THRESHOLD
                         =0.6 (0..1.0): Ambiguous base calls at a specific position in a family are
                          transformed to either majority base call, or N if the majority percentage
                          is below this threshold. (Higher threshold results in more Ns in
                          consensus.)
   -s MIN_FAMILY_SIZE_THRESHOLD, --min_family_size_threshold MIN_FAMILY_SIZE_THRESHOLD
                         =3 (>=0): families with count of original reads < threshold are excluded
                          from the deduplicated output. (Higher threshold is more
                          stringent.)
   -d UMT_DISTANCE_THRESHOLD, --umt_distance_threshold UMT_DISTANCE_THRESHOLD
                         =1 (>=0); UMTs equal to or closer than this Hamming distance will be
                          combined into a single family. Lower threshold make more families with more
                          consistent UMTs; 0 implies UMT must match
                          exactly.

Email bfx-connor@umich.edu for support and questions.

UM BRCF Bioinformatics Core