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Titlebook: Hydrogen Storage Materials; Emil Burzo Book 2018 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verl

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樓主: hector
31#
發(fā)表于 2025-3-26 23:42:38 | 只看該作者
32#
發(fā)表于 2025-3-27 03:32:50 | 只看該作者
and self-contained introduction to, the field of bioinformatics and its state-of-the-art as it relates to computational biology research..? Offers additional chapters on algorithms and knowledge representation978-1-84996-764-8978-1-84800-257-9Series ISSN 1568-2684 Series E-ISSN 2662-2432
33#
發(fā)表于 2025-3-27 06:21:18 | 只看該作者
1615-1844 ogy, such as fuel cells, batteries, microsensors and detectors, energy conversion and chemical agents, extending the range of hydride materials applications to different fie978-3-662-54261-3Series ISSN 1615-1844 Series E-ISSN 1616-9522
34#
發(fā)表于 2025-3-27 11:37:14 | 只看該作者
35#
發(fā)表于 2025-3-27 13:54:49 | 只看該作者
r complex calculations. The nanocellulose chip is potentially superior to today’s computer chips. It uses DNA for storage and light-controlled polymerases and exonucleases for reading in and out the stored information. Modulating proteins and processes act electronically across the nanocellulose mem
36#
發(fā)表于 2025-3-27 18:04:19 | 只看該作者
most accurate maximum likelihood). Accompanying sequence and secondary structure analyses reveal conserved and variable regions as well as the evolution of functional domains. Most accurate phylogenetic trees require much practice and systematic comparison of all available information (e.g. alterna
37#
發(fā)表于 2025-3-27 22:57:44 | 只看該作者
ex properties (“feature extraction“), pattern recognition from large amounts of data (“training data set”) and then also for individual molecules or sequences (predictions, for example, for the secondary structure in the protein, for the localisation in the cell, etc.).
38#
發(fā)表于 2025-3-28 02:44:57 | 只看該作者
39#
發(fā)表于 2025-3-28 08:32:52 | 只看該作者
40#
發(fā)表于 2025-3-28 10:53:49 | 只看該作者
In the first part, we briefly review how to identify RNA structural motifs in individual lncRNAs. In the second part, we describe how to leverage the evolutionary dynamics of structured RNAs in a computationally efficient screen to detect putative functional lncRNA motifs using comparative genomics.
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