ADEPT

The multistate algorithm implements the general case for identifying states in nanopore data []. The general form of the equation used in this algorithm is shown below, where N is the number of states. This functional form is fit to a time-series from a single event to recover optimal parameters for the mdoel.

\[i(t)=i_0 + \sum_{j=1}^{N} a_j\left(1-e^{-\left(t-\mu_j\right)/\tau_j}\right) H\left(t-\mu_j\right)\]

Settings that control the fit are defined through the settings file and are described in more detail in the Optimizing Settings section. Upon successfully fitting the model to an event, adept generates meta-data the describes the individual states in the event. A representative example of one such event is shown in the figure below.

../_images/Multistate.png

Algorithm Settings

Metadata Output

The adept algorithm outputs meta-data that characterizes every processed event. Similar to the ADEPT 2-State algorithm, this information is stored in a SQLite_ database and is available for further processing (see Database Structure and Query Syntax). Notably, the data output by adept differs from adept2State in one important way. Because the number of states (NStates) detected in each event is not pre-determined, key meta-data (e.g. BlockDepth, EventDelay, etc.) are stored as arrays of real numbers with length equal to NStates.

Column Name

Column Type

Description

recIDX

ProcessingStatus

OpenChCurrent

NStates

CurrentStep

BlockDepth

EventStart

EventEnd

EventDelay

StateResTime

ResTime

RCConstant

AbsEventStart

ReducedChiSquared

ProcessTime

TimeSeries

INTEGER

TEXT

REAL

INTEGER

REAL_LIST

REAL_LIST

REAL

REAL

REAL_LIST

REAL_LIST

REAL

REAL_LIST

REAL

REAL

REAL

REAL_LIST

Record index.

Status of the analysis.

Open channel current in pA.

Number of detected states.

Blocked current steps in pA.

BlockedCurrent/OpenChCurrent for each state.

Event start in ms.

Event end in ms.

Start time of each state in ms.

Residence time of each state in ms.

EventEnd-EventStart in ms.

System RC constant in ms.

Global event start time in ms.

Reduced Chi-squared of fit.

Event processing time in ms.

(OPTIONAL) Event time-series.