| wells | Yes | the well table: `Well,Sample,Target,Positives,Partitions`. Instrument column names are accepted as they are printed (Bio-Rad's `AcceptedDroplets`, QIAcuity's `Valid partitions`), so a real export needs no renaming. | |
| _files | No | The project: record references shaped like _subject. Their records become library documents a tool names in sequences/parts/document; a trace or alignment is found by file name. | |
| _subject | No | The record to act on: exactly one of sequence, accession (+source), sample (an id from list_samples) or file ({name, text} or {name, base64}); record_index picks one record of several. | |
| ci_method | No | which binomial confidence interval is carried onto the lambda scale. Values: agresti-coull (Agresti–Coull), asymptotic (Asymptotic (normal approximation)), bayes (Bayes (Jeffreys prior, highest-density)), cloglog (Complementary log-log), exact (Exact (Clopper–Pearson)), logit (Logit), lrt (Likelihood ratio), probit (Probit), prop.test (Score test inverted, continuity-corrected), profile (Profile likelihood), wilson (Wilson score). Advanced. | wilson |
| volume_cv | No | coefficient of variation of the partition volume, as a percentage. Ignored under the `poisson` model. There is no universal value and inventing one would fabricate the exact quantity the correction consumes - the one figure this repo has a published source for is QuantStudio 3D chip (Majumdar 2017) at 3.03 %, and that paper says the vendor re-estimates it per chip rather than treating it as a platform constant. In %. Only applies when volume_model is normal or truncated. | |
| conf_level | No | confidence level for the interval. Advanced. | |
| ratio_target | No | the assay whose COPY NUMBER you want, named as it appears in the table's Target column. Leave it and `ratio_reference` unset and no copy number is reported at all — a guessed pair is a fabricated comparison. | |
| volume_model | No | how partition-volume SPREAD is handled (QP-5c). `poisson` is the standard estimator and assumes every partition holds the same volume. The two Poisson-Plus arms (Majumdar 2017) integrate the Poisson negative probability over a normal volume distribution and invert it: `normal` is the closed-form Eq (9), `truncated` the exact Eq (13) over a normal cut off at zero, which is the honest density because a partition cannot hold a negative volume. The spread biases the standard estimate DOWNWARD, hard at high occupancy and not at all at low. Values: poisson (Standard Poisson (no correction)), normal (Poisson-Plus, normal (Eq 9)), truncated (Poisson-Plus, truncated normal (Eq 13)). | poisson |
| dilution_factor | No | fold dilution applied to the sample before the reaction (2 = diluted 1:2). Advanced. | |
| ratio_reference | No | the assay it is measured against: the single-copy or known-ploidy reference, again by its Target name. | |
| merge_replicates | No | pool wells that share a sample and target before quantifying. Replicates of one measurement are one measurement, and pooling the COUNTS is the correct way to combine them, never averaging concentrations. | |
| reference_copies | No | copies of the REFERENCE target per genome. 2 is a diploid autosome, 1 a haploid or single-copy locus. Advanced. | |
| reaction_volume_ul | No | total reaction volume, for copies per reaction. In uL. | |
| template_volume_ul | No | volume of template added to the reaction. Left at 0 the sample-concentration row is omitted rather than guessed. In uL. Advanced. | |
| partition_volume_nl | No | mean volume of ONE partition. A per-platform constant, not a universal one (Bio-Rad QX200 approx 0.85 nL, QIAcuity 26k approx 0.34 nL, QuantStudio 3D approx 0.755 nL), and dMIQE 2020 requires it to be reported with the result. In nL. | |