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Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs

Autor: Wang, Wei, Hou, Zhichao, Liu, Xiaorui, Peng, Xinxia

Research on long non-coding RNAs (lncRNAs) has garnered significant attention due to their critical roles in gene regulation and disease mechanisms. However, the complexity and diversity of lncRNA sequences, along with the limited knowledge of their

Externí odkaz: http://arxiv.org/abs/2411.03522

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Akademický článek

Computational identification of hepatitis C virus associated microRNA-mRNA regulatory modules in human livers

Autor: Aicher Lauri D, Lederer Sharon L, Rosenzweig Elizabeth R, Walters Kathie-Anne, Li Yu, Peng Xinxia, Proll Sean, Katze Michael G

Publikováno v: BMC Genomics, Vol 10, Iss 1, p 373 (2009)

Abstract Background Hepatitis C virus (HCV) is a major cause of chronic liver disease by infecting over 170 million people worldwide. Recent studies have shown that microRNAs (miRNAs), a class of small non-coding regulatory RNAs, are involved in the

Externí odkaz: https://doaj.org/article/59b71946e8a24605b8be4fbffc920f13

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Akademický článek

Host cell transcriptional profiling during malaria liver stage infection reveals a coordinated and sequential set of biological events

Autor: Prudêncio Miguel, Kappe Stefan HI, Peng Xinxia, Tarun Alice S, Grosso Ana, Carret Céline, Albuquerque Sónia S, Mota Maria M

Publikováno v: BMC Genomics, Vol 10, Iss 1, p 270 (2009)

Abstract Background Plasmodium sporozoites migrate to the liver where they traverse several hepatocytes before invading the one inside which they will develop and multiply into thousands of merozoites. Although this constitutes an essential step of m

Externí odkaz: https://doaj.org/article/91cdb4d8bdd549928cf844298c3cda36

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Akademický článek

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Fc Characteristics Mediate Selective Placental Transfer of IgG in HIV-Infected Women

Autor: Martinez, David R., Fong, Youyi, Li, Shuk Hang, Yang, Fang, Jennewein, Madeleine F., Weiner, Joshua A., Harrell, Erin A., Mangold, Jesse F., Goswami, Ria, Seage, George R., III, Alter, Galit, Ackerman, Margaret E., Peng, Xinxia, Fouda, Genevieve G., Permar, Sallie R.

Publikováno v: In Cell 27 June 2019 178(1):190-201

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Compression of next-generation sequencing reads aided by highly efficient de novo assembly

Autor: Jones, Daniel C., Ruzzo, Walter L., Peng, Xinxia, Katze, Michael G.

We present Quip, a lossless compression algorithm for next-generation sequencing data in the FASTQ and SAM/BAM formats. In addition to implementing reference-based compression, we have developed, to our knowledge, the first assembly-based compressor,

Externí odkaz: http://arxiv.org/abs/1207.2424

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