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Comparative mitochondrial genomics in Nematoda reveal astonishing variation in compositional biases and substitution rates indicative of multi-level selection.

• Authors : Gendron, Eli M. S.¹ (AUTHOR) ; Qing, Xue² (AUTHOR) ; Sevigny, Joseph L.^3,4 (AUTHOR)

• Source: BMC Genomics. 6/18/2024, Vol. 25 Issue 1, p1-29. 29p.

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Comparative mitochondrial genomics in Nematoda reveal astonishing variation in compositional biases and substitution rates indicative of multi-level selection

• Authors : Eli M. S. Gendron; Xue Qing; Joseph L. Sevigny

Subjects: Evolution; GC skew; Genome size

• Source: BMC Genomics, Vol 25, Iss 1, Pp 1-29 (2024)

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Disregarding multimappers leads to biases in the functional assessment of NGS data.

• Authors : Almeida da Paz, Michelle¹ (AUTHOR); Warger, Sarah¹ (AUTHOR); Taher, Leila¹ (AUTHOR)

• Source: BMC Genomics. 5/8/2024, Vol. 25 Issue 1, p1-9. 9p.

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Disregarding multimappers leads to biases in the functional assessment of NGS data

• Authors : Michelle Almeida da Paz; Sarah Warger; Leila Taher

Subjects: Next-generation sequencing (NGS); ChIP-seq; RNA-seq

• Source: BMC Genomics, Vol 25, Iss 1, Pp 1-9 (2024)

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normGAM: an R package to remove systematic biases in genome architecture mapping data

• Authors : Tong Liu; Zheng Wang

Subjects: Genome architecture mapping; GAM; Hi-C

• Source: BMC Genomics, Vol 20, Iss S12, Pp 1-8 (2019)

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normGAM: an R package to remove systematic biases in genome architecture mapping data.

• Authors : Liu, Tong¹ (AUTHOR); Wang, Zheng¹ (AUTHOR)

• Source: BMC Genomics. 12/30/2019 Supplement 10, Vol. 20, p1-8. 8p. 4 Diagrams, 1 Chart, 1 Graph.

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Comprehensive assessment of multiple biases in small RNA sequencing reveals significant differences in the performance of widely used methods

• Authors : Carrie Wright; Anandita Rajpurohit; Emily E. Burke

Subjects: Small RNA sequencing; microRNA; isomiRs

• Source: BMC Genomics, Vol 20, Iss 1, Pp 1-21 (2019)

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Evidence for sequence biases associated with patterns of histone methylation.

• Authors : Wang, Zhong; Willard, Huntington F

Subjects: T-Lymphocytes; Cell Line; Chromatin

• Source: BMC genomics. 13(1)

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normGAM: an R package to remove systematic biases in genome architecture mapping data

• Authors : Zheng Wang; Tong Liu

Subjects: Normalization (statistics); Source code; lcsh:QH426-470

• Source: BMC Genomics, Vol 20, Iss S12, Pp 1-8 (2019)BMC Genomics

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Selective forces and mutational biases drive stop codon usage in the human genome: a comparison with sense codon usage.

• Authors : Trotta, Edoardo¹

• Source: BMC Genomics. 5/17/2016, Vol. 17, p1-12. 12p. 1 Chart, 12 Graphs.

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