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Titlebook: Research in Computational Molecular Biology; 28th Annual Internat Jian Ma Conference proceedings 2024 The Editor(s) (if applicable) and The

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樓主: 重婚
41#
發(fā)表于 2025-3-28 17:48:48 | 只看該作者
Tianshuo Zhou,Wei Yu Tang,David H. Mathews,Liang Huang
42#
發(fā)表于 2025-3-28 21:19:05 | 只看該作者
Matthew M. Hong,David Froelicher,Ricky Magner,Victoria Popic,Bonnie Berger,Hyunghoon Cho
43#
發(fā)表于 2025-3-28 23:33:31 | 只看該作者
,Fast Approximate IsoRank for?Scalable Global Alignment of?Biological Networks,experiments on synthetic and real PPI networks with various proposed metrics to measure alignment quality, we find the results of our approximate IsoRank are nearly as accurate as the original IsoRank. In fact, for functional enrichment-based measures of global network alignment quality we find our
44#
發(fā)表于 2025-3-29 03:45:36 | 只看該作者
45#
發(fā)表于 2025-3-29 10:11:34 | 只看該作者
,Efficient Analysis of?Annotation Colocalization Accounting for?Genomic Contexts,oximation. Compared to the previous algorithm by Gafurov et al., the new algorithm provides three advances: (1) the running time is improved from quadratic to linear or quasi-linear, (2) the algorithm can handle two different test statistics, and (3) the algorithm can handle both simple and context-
46#
發(fā)表于 2025-3-29 11:32:46 | 只看該作者
47#
發(fā)表于 2025-3-29 19:00:26 | 只看該作者
48#
發(fā)表于 2025-3-29 22:41:31 | 只看該作者
ImputeCC Enhances Integrative Hi-C-Based Metagenomic Binning Through Constrained Random-Walk-Based asets from diverse environments, including the human gut, wastewater, cow rumen, and sheep gut, demonstrate that ImputeCC consistently outperforms other Hi-C-based contig binning tools. ImputeCC’s genus-level analysis of the sheep gut microbiota further reveals its ability and potential to recover e
49#
發(fā)表于 2025-3-30 01:53:40 | 只看該作者
50#
發(fā)表于 2025-3-30 07:56:03 | 只看該作者
Meta-colored Compacted de Bruijn Graphs,epresented holistically, i.e., taking into account their redundancy across the whole collection being indexed, rather than individually as atomic integer lists. This allows the factorization and compression of common sub-patterns across colors. While optimizing the space of our data structure is NP-
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