Search Results

Transcriptional profiling predicts running promotes cerebrovascular remodeling in young but not midlife mice.

• Authors : Foley, Kate E.^1,2 (AUTHOR); Yang, Hongtian Stanley¹ (AUTHOR); Graham, Leah C.¹ (AUTHOR)

• Source: BMC Genomics. 11/14/2019, Vol. 20 Issue 1, p1-14. 14p. 1 Diagram, 6 Graphs.

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No association between ACTN3 R577X and ACE I/D polymorphisms and endurance running times in 698 Caucasian athletes

• Authors : Carla Maria Calò; Macsue Jacques; Courtney Kipps

Subjects: Male; QH426-470; Champions

• Source: BMC GenomicsBMC Genomics, Vol 19, Iss 1, Pp 1-9 (2018)

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Exploring the genetics of trotting racing ability in horses using a unique Nordic horse model.

• Authors : Velie BD; Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden. .; School of Life and Environmental Sciences, University of Sydney, Sydney, Australia. .

Subjects: Phenotype* ; Polymorphism, Single Nucleotide* ; Running*

• Source: BMC genomics [BMC Genomics] 2019 Feb 04; Vol. 20 (1), pp. 104. Date of Electronic Publication: 2019 Feb 04.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164

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ACTN3 R577X and ACE I/D gene variants influence performance in elite sprinters: a multi-cohort study.

• Authors : Papadimitriou ID; Institute of Sport, Exercise and Active Living (ISEAL), Victoria University, Victoria, 8001, Australia.; Lucia A

Subjects: Athletes* ; Athletic Performance* ; Running*

• Source: BMC genomics [BMC Genomics] 2016 Apr 13; Vol. 17, pp. 285. Date of Electronic Publication: 2016 Apr 13.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164

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No association between ACTN3 R577X and ACE I/D polymorphisms and endurance running times in 698 Caucasian athletes.

• Authors : Papadimitriou, Ioannis D.; Lockey, Sarah J.; Voisin, Sarah

Subjects: GENETIC polymorphisms; GENOTYPES; ENDURANCE athletes

• Source: BMC Genomics; 1/3/2018, Vol. 19, p1-N.PAG, 9p, 3 Charts, 2 Graphs

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A computational HLA allele-typing protocol to de-noise and leverage nanopore amplicon data.

• Authors : Siddiqui, Jalal¹ (AUTHOR) ; Sinha, Rohita¹ (AUTHOR); Grantham, James¹ (AUTHOR)

• Source: BMC Genomics. 4/8/2025, Vol. 26 Issue 1, p1-12. 12p.

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MARSweb: a fully automated web service for set-based association testing.

• Authors : Kim, Taegun^1,2 (AUTHOR); Song, Jaeseung³ (AUTHOR); Joo, Jong Wha J.^1,2 (AUTHOR)

• Source: BMC Genomics. 2/24/2025, Vol. 26 Issue 1, p1-9. 9p.

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Comparison of structural variant callers for massive whole-genome sequence data.

• Authors : Joe, Soobok¹ (AUTHOR); Park, Jong-Lyul^2,3 (AUTHOR); Kim, Jun⁴ (AUTHOR)

• Source: BMC Genomics. 3/28/2024, Vol. 25 Issue 1, p1-14. 14p.

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Detecting circular RNA from high-throughput sequence data with de Bruijn graph.

• Authors : Li, Xin¹ (AUTHOR) ; Wu, Yufeng¹ (AUTHOR)

• Source: BMC Genomics. 3/5/2020 Supplement 1, Vol. 21, p1-11. 11p. 2 Diagrams, 7 Graphs.

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Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans.

• Authors : Cai, Zexi¹ (AUTHOR) ; Christensen, Ole Fredslund¹ (AUTHOR); Lund, Mogens Sandø¹ (AUTHOR)

• Source: BMC Genomics. Dec2022, Vol. 23 Issue 1, p1-15. 15p.

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