  We introduce a new variant of the $k$-deck problem, which in its traditional
formulation asks for determining the smallest $k$ that allows one to
reconstruct any binary sequence of length $n$ from the multiset of its
$k$-length subsequences. In our version of the problem, termed the hybrid
k-deck problem, one is given a certain number of special subsequences of the
sequence of length $n - t$, $t > 0$, and the question of interest is to
determine the smallest value of $k$ such that the $k$-deck, along with the
subsequences, allows for reconstructing the original sequence in an error-free
manner. We first consider the case that one is given a single subsequence of
the sequence of length $n - t$, obtained by deleting zeros only, and seek the
value of $k$ that allows for hybrid reconstruction. We prove that in this case,
$k \in [\log t+2, \min\{ t+1, O(\sqrt{n \cdot (1+\log t)}) \} ]$. We then
proceed to extend the single-subsequence setup to the case where one is given
$M$ subsequences of length $n - t$ obtained by deleting zeroes only. In this
case, we first aggregate the asymmetric traces and then invoke the single-trace
results. The analysis and problem at hand are motivated by nanopore sequencing
problems for DNA-based data storage.
