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sOCP: a framework predicting smORF coding potential based on TIS and in-frame features and effectively applied in the human genome.

• Authors : Peng, Zhao¹ (AUTHOR); Li, Jiaqiang² (AUTHOR); Jiang, Xingpeng² (AUTHOR)

• Source: Briefings in Bioinformatics. May2024, Vol. 25 Issue 3, p1-12. 12p.

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Benchmarking multi-platform sequencing technologies for human genome assembly.

• Authors : Wang, Jingjing¹ (AUTHOR); Veldsman, Werner Pieter¹ (AUTHOR); Fang, Xiaodong² (AUTHOR)

• Source: Briefings in Bioinformatics. Sep2023, Vol. 24 Issue 5, p1-15. 15p.

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DeepICSH: a complex deep learning framework for identifying cell-specific silencers and their strength from the human genome.

• Authors : Zhang, Tianjiao¹ (AUTHOR); Li, Liangyu¹ (AUTHOR); Sun, Hailong¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Sep2023, Vol. 24 Issue 5, p1-11. 11p.

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Integrative machine learning framework for the identification of cell-specific enhancers from the human genome.

• Authors : Basith, Shaherin¹ (AUTHOR); Hasan, Md Mehedi^2,3 (AUTHOR); Lee, Gwang¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Nov2021, Vol. 22 Issue 6, p1-13. 13p.

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The CUT&RUN greenlist: genomic regions of consistent noise are effective normalizing factors for quantitative epigenome mapping.

• Authors : Mello, Fabio N de^1,2 (AUTHOR); Tahira, Ana C¹ (AUTHOR); Berzoti-Coelho, Maria Gabriela^1,3 (AUTHOR)

• Source: Briefings in Bioinformatics. Mar2024, Vol. 25 Issue 2, p1-15. 15p.

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Predicting differentially methylated cytosines in TET and DNMT3 knockout mutants via a large language model

• Authors : Sereshki, Saleh; Lonardi, Stefano

Subjects: Biochemistry and Cell Biology; Bioinformatics and Computational Biology; Genetics

• Source: Briefings in Bioinformatics. 26(2)

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Systematic assessment of pathway databases, based on a diverse collection of user-submitted experiments.

• Authors : Gable, Annika L¹ (AUTHOR); Szklarczyk, Damian^1,2 (AUTHOR); Lyon, David^1,2 (AUTHOR)

• Source: Briefings in Bioinformatics. Sep2022, Vol. 23 Issue 5, p1-13. 13p.

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A comprehensive survey of models for dissecting local ancestry deconvolution in human genome.

• Authors : Geza, Ephifania^1,2 (AUTHOR); Mugo, Jacquiline¹ (AUTHOR); Mulder, Nicola J² (AUTHOR)

• Source: Briefings in Bioinformatics. Sep2019, Vol. 20 Issue 5, p1709-1724. 16p.

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Converting single nucleotide variants between genome builds: from cautionary tale to solution.

• Authors : Ormond, Cathal¹ (AUTHOR); Ryan, Niamh M¹ (AUTHOR); Corvin, Aiden² (AUTHOR)

• Source: Briefings in Bioinformatics. Sep2021, Vol. 22 Issue 5, p1-7. 7p.

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Quantitative model suggests both intrinsic and contextual features contribute to the transcript coding ability determination in cells.

• Authors : Kang, Yu-Jian¹ (AUTHOR); Li, Jing-Yi¹ (AUTHOR); Ke, Lan¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Jan2022, Vol. 23 Issue 1, p1-11. 11p.

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