更正：巴西首次肝母细胞瘤转录组分析：揭示非编码 RNA 和代谢途径的关键作用。

IF 2.1 4区生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

Biochemical Genetics Pub Date : 2024-06-01 DOI:10.1007/s10528-024-10848-9

Talita Ferreira Marques Aguiar, Maria Prates Rivas, Edson Mario de Andrade Silva, Sara Ferreira Pires, Gustavo Dib Dangoni, Taiany Curdulino Macedo, Alexandre Defelicibus, Bruna Durães de Figueiredo Barros, Estela Novak, Lilian Maria Cristofani, Vicente Odone, Monica Cypriano, Silvia Regina Caminada de Toledo, Isabela Werneck da Cunha, Cecilia Maria Lima da Costa, Dirce Maria Carraro, Israel Tojal, Tiago Antônio de Oliveira Mendes, Ana Cristina Victorino Krepischi

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Correction: First Transcriptome Analysis of Hepatoblastoma in Brazil: Unraveling the Pivotal Role of Noncoding RNAs and Metabolic Pathways.

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来源期刊

Biochemical Genetics 生物-生化与分子生物学

CiteScore

3.90

自引率

0.00%

发文量

133

审稿时长

4.8 months

期刊介绍： Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.