# Reports

**Table Of Contents**

This page gives some examples for interpretations of Rabema reports. The read mapper result used as the input for all of these reports is the same as on the “Getting Started” section of the Rabema main page.

## Report for Category “all”

The following report was generated in “all” mode. It is the same as on the “Getting Started” section of the Rabema main page.

Intervals to find: 10839 Intervals found: 10839 Intervals found [%] 100 Invalid alignments: 312 Additional Hits: 0 Number of reads: 8840 Number of reads with intervals: 7723 Mapped reads: 7723 Mapped reads [% of total]: 87.3643 Mapped reads [% of mappable]: 100 Normalized intervals found: 7723 Normalized intervals found [%]: 100 Found Intervals By Error Rate ERR #max #found %found norm max norm found norm found [%] ------------------------------------------------------------------------------------ 0 2780 2780 100.00 2095.80 2095.80 100.00 1 4221 4221 100.00 3083.12 3083.12 100.00 2 2721 2721 100.00 1849.09 1849.09 100.00 3 1117 1117 100.00 694.99 694.99 100.00

In total, there were 10,839 intervals with up to 3% errors to be found and RazerS found all of them (the reads are very long so there is fewer room for ambiguity). The number of invalid alignments is 312. These alignments are caused by the defaults setting for allowed error rate of RazerS 3 being 8%. The term “incorrect” is fixed to the given error rate in the benchmark. If we passed an error rate of 8% to the evaluation then there would be no invalid alignments. The number of additional hits is 0. This is the number of hits in the read mapper output with a valid error rate (below 3% in this case) that are not found in the gold standard. If this number is greater than zero then an error occured while building the gold standard or in the evaluation program. If you get such a number then please contact the Rabema authors.

The total number of reads is 8,840, the number of reads having an alignment with less than or equal to 3% error is 7,723 which also is the largest number of “normalized intervals” to be found. Each read contributes at most one point to the “normalized intervals score” achieved by a read mapper. Each interval for a read contributes 1/x points where x is the number of alignments for the read. A total of 7,723 reads could be mapped, which is 100% of all mappable reads and 87.4% of all reads.

The table below gives a further breakdown of the found intervals and normalized found intervals by error rate of the alignment. The data is broken down by error rate of the given alignment. For example, there were 2,780 of 2,780 intervals found with error rate 0, which amounts to 100% of such reads. There were 2,095.8 normalized such intervals of which all were found.

## Report for Category “any-best”

The following report was generated for the same data set in “any-best” mode. The maximal error rate was set to 3%.

Intervals to find: 7723 Intervals found: 7723 Intervals found [%] 100 Invalid alignments: 4408 Additional Hits: 0 Number of reads: 8840 Number of reads with intervals: 7723 Mapped reads: 7723 Mapped reads [% of total]: 87.3643 Mapped reads [% of mappable]: 100 Normalized intervals found: 7723 Normalized intervals found [%]: 100 Found Intervals By Error Rate ERR #max #found %found norm max norm found norm found [%] ------------------------------------------------------------------------------------------------------ 0 2155 2155 100.00 2155.00 2155.00 100.00 1 3092 3092 100.00 3092.00 3092.00 100.00 2 1808 1808 100.00 1808.00 1808.00 100.00 3 668 668 100.00 668.00 668.00 100.00

Note that the number of invalid alignments is higher than in category “all” above and equal to category “all-best” below. The reason for this is that in “*-best” mode, we ignore the reads with an error rate higher than for the best match of the read.

The gold standard contained 9,207 intervals that had the best distance for each read. All are hit by the alignments in the SAM file. The statistics on the number of reads and reads with intervals is the same as in the “all” mode described above.

The table shows a breakdown of the found and missed intervals by the error rate of the best distance for the read. There were 2,155 (3,092/1,808/668) best intervals with an error rate of 0% (1/2/3%). Of these, all were found. The columns starting with “norm” show the intervals, normalized by the number of intervals for each read.

## Report for Category “all-best”

Intervals to find: 9207 Intervals found: 9207 Intervals found [%] 100 Invalid alignments: 4408 Additional Hits: 0 Number of reads: 8840 Number of reads with intervals: 7723 Mapped reads: 7723 Mapped reads [% of total]: 87.3643 Mapped reads [% of mappable]: 100 Normalized intervals found: 7723 Normalized intervals found [%]: 100 Found Intervals By Error Rate ERR #max #found %found norm max norm found norm found [%] ------------------------------------------------------------------------------------------------------ 0 2780 2780 100.00 2155.00 2155.00 100.00 1 3671 3671 100.00 3092.00 3092.00 100.00 2 1988 1988 100.00 1808.00 1808.00 100.00 3 768 768 100.00 668.00 668.00 100.00

Note that the number of invalid alignments is higher than in category “all” and equal to category “any-best”. The reason for this is that in “*-best” mode, we ignore the reads with an error rate higher than for the best match of the read.

The numbers here are similar to the ones in “any-best” mode. However, since only one interval has to be found for each read, the number of intervals to be found is equal to the number of normalized intervals.

## Report for Oracle Mode

The reports in Oracle mode are the same as in any-best mode. However, only the original interval is considered for each read and the interval is labeled with the actual distance at this location, independently of any given error rate on the command line.