Abjure
发表于 2025-3-26 23:42:38
http://reply.papertrans.cn/44/4304/430396/430396_31.png
CRUMB
发表于 2025-3-27 03:32:50
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
性冷淡
发表于 2025-3-27 06:21:18
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
NATTY
发表于 2025-3-27 11:37:14
http://reply.papertrans.cn/44/4304/430396/430396_34.png
Malleable
发表于 2025-3-27 13:54:49
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
蚀刻
发表于 2025-3-27 18:04:19
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
控诉
发表于 2025-3-27 22:57:44
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.).
colony
发表于 2025-3-28 02:44:57
http://reply.papertrans.cn/44/4304/430396/430396_38.png
INERT
发表于 2025-3-28 08:32:52
http://reply.papertrans.cn/44/4304/430396/430396_39.png
RUPT
发表于 2025-3-28 10:53:49
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.