Presenting the fundamental algorithms and data structures that power bioinformatics
workflows, this book covers a range of topics from the foundations of sequence analysis …

In the large-scale optical satellite network (LS-OSN), hundreds to thousands of low Earth
orbit (LEO) satellites will be interconnected<? TeX 2pc 0pt?> via laser links, offering global …

Motivation High-throughput RNA sequencing has become indispensable for decoding gene
activities, yet the challenge of reconstructing full-length transcripts persists. Traditional single …

Minimum flow decomposition (MFD) is the NP-hard problem of finding a smallest
decomposition of a network flow/circulation X on a directed graph G into weighted source-to …

Motivation Many important problems in Bioinformatics (eg assembly or multiassembly) admit
multiple solutions, while the final objective is to report only one. A common approach to deal …

Minimum flow decomposition (MFD) is an NP-hard problem asking to decompose a network
flow into a minimum set of paths (together with associated weights). Variants of it are …

Minimum flow decomposition (MFD)--the problem of finding a minimum set of weighted
source-to-sink paths that perfectly decomposes a flow--is a classical problem in Computer …

Minimum flow decomposition (MFD) is a common problem across various fields of Computer
Science, where a flow is decomposed into a minimum set of weighted paths. However, in …

Given a flow network, the Minimum Flow Decomposition (MFD) problem is finding the
smallest possible set of weighted paths whose superposition equals the flow. It is a classical …

A common step at the core of many RNA transcript assembly tools is to find a set of weighted
paths that best explain the weights of a DAG. While such problems easily become NP-hard …