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期刊名:Bioinformatics advances

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ISSN:N/A

e-ISSN:2635-0041

IF/分区:2.6/Q2

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共收录本刊相关文章索引1065条
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Enrique Blanco-Carmona,Marcel Kool Enrique Blanco-Carmona
Motivation: Single-cell RNA sequencing (scRNA-seq) is now a core technology for resolving cellular heterogeneity in complex samples, and standard analysis workflows produce a wide range of outputs, each requiring tailored...
Akihiro Ezoe,Motoaki Seki,Keiichi Mochida Akihiro Ezoe
Motivation: Avoiding dual-axis visualization improves quantitative interpretation. Yet for large-scale paired datasets, combining raw data with summary metrics on dual axes often hinders interpretability, while single-axi...
Giuseppe Agapito,Mario Cannataro Giuseppe Agapito
Motivation: High-throughput transcriptomic platforms routinely generate large differentially expressed gene (DEG) datasets, but linking these matrices to clinical outcomes still often requires manual data integration and ...
Fabio Bedin,Giorgia Cucina,Giampaolo Martinello et al. Fabio Bedin et al.
Motivation: Proteomics has experienced substantial growth in methods and data analysis approaches, with the development of new data-dependent (DDA) and data-independent acquisition (DIA) workflow and several search engine...
Binisha H Mishra,Pashupati P Mishra Binisha H Mishra
Motivation: The increasing availability of multi-omic datasets from the same individuals presents the opportunity to uncover distinct molecular profiles across subgroups within a study population. These profiles may be li...
Musaddiq K Lodi,Leiliani Clark,Satyaki Roy et al. Musaddiq K Lodi et al.
Motivation: The advent of single-cell RNA sequencing (scRNA-seq) has enhanced our ability to study cellular heterogeneity. Accurately identifying distinct subpopulations and their defining markers is critical for understa...
Alejandro Uscanga Junco,Lorena Díaz-González,Blanca Taboada Alejandro Uscanga Junco
Motivation: Influenza A viruses frequently cause seasonal outbreaks and pandemics due to their genetic diversity and reassortment potential. Existing genomic surveillance tools face challenges with redundant databases, de...
Victor Levallois,Yoshihiro Shibuya,Bertrand Le Gal et al. Victor Levallois et al.
Motivation: Identifying which documents in a large database contain a query string is a fundamental problem in Information Retrieval and Computational Biology. We focus on the approximate version of this problem for genom...
Marco Nicolini,Federico Stacchietti,Francisco Javier Molina et al. Marco Nicolini et al.
Motivation: The accurate prediction of microRNA (miRNA) interactions represents a significant challenge in computational biology, with far-reaching implications for understanding gene regulatory networks and developing RN...
Daniel Sabogal-Rodriguez,Alejandro Caro-Quintero Daniel Sabogal-Rodriguez
Motivation: Metagenome-assembled genomes (MAGs) are routinely recovered from metagenomic studies, yet the population genetic information embedded within these datasets remains largely underutilized. Analyzing within-speci...