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Titlebook: Algorithms for Computational Biology; First International Adrian-Horia Dediu,Carlos Martín-Vide,Bianca Truth Conference proceedings 2014 S

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11#
發(fā)表于 2025-3-23 11:39:31 | 只看該作者
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發(fā)表于 2025-3-23 14:53:00 | 只看該作者
On Sorting of Signed Permutations by Prefix and Suffix Reversals and Transpositions segments. These are the most common kinds of genome rearrangements. In this paper, we introduce the study of prefix and suffix versions of these operations, that is, when only segments of the beginning or of the end are involved, when considering signed permutations. We gave asymptotic approximatio
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發(fā)表于 2025-3-23 21:37:01 | 只看該作者
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發(fā)表于 2025-3-24 00:40:40 | 只看該作者
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發(fā)表于 2025-3-24 05:10:21 | 只看該作者
On Algorithmic Complexity of Biomolecular Sequence Assembly Problems been formulated in simple and sometimes unrealistic string and graph-theoretic frameworks. This paper revisits this problem by re-examining the relationship between the most common formulations of the SAP and their computational tractability under different theoretical frameworks. For each formula
16#
發(fā)表于 2025-3-24 06:49:33 | 只看該作者
A Closed-Form Solution for Transcription Factor Activity Estimation Using Network Component Analysisrol strengths and transcription factor activities. While NINCA provides good estimation accuracy and higher consistency, the costly optimization routine used therein renders a high computational complexity. This correspondence presents a closed form solution to estimate the connectivity matrix which
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發(fā)表于 2025-3-24 13:24:05 | 只看該作者
18#
發(fā)表于 2025-3-24 15:34:05 | 只看該作者
Analysis and Classification of Constrained DNA Elements with N-gram Graphs and Genomic Signaturestructure or the relative positioning of its constituent oligonucleotides. We here present a novel methodology that takes into account both word representation and relative positioning at various lengths scales in the form of n-gram graphs (NGG). We implemented the NGG approach on short vertebrate an
19#
發(fā)表于 2025-3-24 19:31:35 | 只看該作者
Inference of Boolean Networks from Gene?Interaction Graphs Using a SAT Solver biological constraints. A . is a directed graph representing positive and negative gene regulations. Depending on the biological problem being solved, the . can vary, and may include, for example, a desired set of stationary states. We present a ., SAT-based, method for inferring synchronous Boolea
20#
發(fā)表于 2025-3-25 02:56:14 | 只看該作者
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