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Measurements show that in terms of speed, Bellman's GAP code lies between the hand-coded tools (Fig. 2).
Protected = Gap codes 1 & 2, Partial Protected = Gap code 3, and Less Protected = Gap code 4 of the PADUS 1.1[36].
To help bridge the gap, Code for America launched Clear My Record, a service designed to automate many of the steps involved in the Prop 47 process and make it more accessible.
While this implementation is significantly slower than Bellman's GAP code, it suffices to compare the Pareto-eager implementation to its alternatives.
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Approximately 10% (or 204,000 km2) of the forestland in the 48 states of the US was in protected areas (under GAP codes 1 and 2, Figure 1) in 2001, with 1.3 million km2 of unprotected forests.
For all ITS and CR alignments, gaps were coded as present or absent using the "simple" gap coding method employed in GapCoder v1.0 [35].
Gap coding was removed.
Gap coding for Maximum Parsimony added 304 characters.
Gaps were coded as present or absent using the 'simple' gap coding method employed in GapCoder v1.0 [ 45].
No specific gap coding was done because indels were mostly 1 bp long.
Subsequently, gaps were coded for each dataset using the Simple Gap Coding method of Simmons and Ochoterena [ 71 ], as implemented in SeqState v.1.4.1 [ 72 ].
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