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期刊名:Genome biology

缩写:GENOME BIOL

ISSN:1474-760X

e-ISSN:1474-760X

IF/分区:9.4/Q1

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共收录本刊相关文章索引6621
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
Coby Viner,Charles A Ishak,James Johnson et al. Coby Viner et al.
Background: Transcription factors bind DNA in specific sequence contexts. In addition to distinguishing one nucleobase from another, some transcription factors can distinguish between unmodified and modified bases. Curren...
Roberto Vera Alvarez,David Landsman Roberto Vera Alvarez
The cost and complexity of generating a complete reference genome means that many organisms lack an annotated reference. An alternative is to use a de novo reference transcriptome. This technology is cost-effective but is susceptible to off...
Hamid Kian Gaikani,Monika Stolar,Divya Kriti et al. Hamid Kian Gaikani et al.
The history of yeast Saccharomyces cerevisiae, aka brewer's or baker's yeast, is intertwined with our own. Initially domesticated 8,000 years ago to provide sustenance to our ancestors, for the past 150 years, yeast has served as a model re...
Haidong Yi,Alec Plotkin,Natalie Stanley Haidong Yi
Background: To analyze the large volume of data generated by single-cell technologies and to identify cellular correlates of particular clinical or experimental outcomes, differential abundance analyses are often applied....
Winston Lau,Aminah Ali,Hannah Maude et al. Winston Lau et al.
Background: The cost-free increase in statistical power of using imputation to infer missing genotypes is undoubtedly appealing, but is it hazard-free? This case study of three type-2 diabetes (T2D) loci demonstrates that...
Christopher K Tuggle,Jennifer L Clarke,Brenda M Murdoch et al. Christopher K Tuggle et al.
Dramatic improvements in measuring genetic variation across agriculturally relevant populations (genomics) must be matched by improvements in identifying and measuring relevant trait variation in such populations across many environments (p...
Xiang Zhu,Shining Ma,Wing Hung Wong Xiang Zhu
Background: The vast majority of findings from human genome-wide association studies (GWAS) map to non-coding sequences, complicating their mechanistic interpretations and clinical translations. Non-coding sequences that ...
Charles E Breeze,Eric Haugen,María Gutierrez-Arcelus et al. Charles E Breeze et al.
The majority of disease-associated variants identified through genome-wide association studies are located outside of protein-coding regions. Prioritizing candidate regulatory variants and gene targets to identify potential biological mecha...