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Academic Journal

Detecting antibody reactivities in Phage ImmunoPrecipitation Sequencing data.

  • Authors : Chen A; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.; Kammers K

Subjects: Bacteriophages*/Bacteriophages*/Bacteriophages*/genetics; Antibodies ; Bayes Theorem

  • Source: BMC genomics [BMC Genomics] 2022 Sep 15; Vol. 23 (1), pp. 654. Date of Electronic Publication: 2022 Sep 15.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium:

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Academic Journal

Network regression analysis in transcriptome-wide association studies.

  • Authors : Jin X; Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.; Institute for Medical Dataology, Shandong University, Jinan, 250003, Shandong, China.

Subjects: Genome-Wide Association Study*/Genome-Wide Association Study*/Genome-Wide Association Study*/methods ; Transcriptome*; Bayes Theorem

  • Source: BMC genomics [BMC Genomics] 2022 Aug 06; Vol. 23 (1), pp. 562. Date of Electronic Publication: 2022 Aug 06.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium:

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Academic Journal

Application of chloroplast genome in the identification of Traditional Chinese Medicine Viola philippica.

  • Authors : Cao DL; Shandong Provincial Key Laboratory of Plant Stress Research, College of Life Sciences, Shandong Normal University, Ji'nan, 250014, China.; Zhang XJ

Subjects: Genome, Chloroplast* ; Viola*/Viola*/Viola*/genetics; Bayes Theorem

  • Source: BMC genomics [BMC Genomics] 2022 Jul 27; Vol. 23 (1), pp. 540. Date of Electronic Publication: 2022 Jul 27.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium:

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Academic Journal

Proteomics data analysis using multiple statistical approaches identified proteins and metabolic networks associated with sucrose accumulation in sugarcane.

  • Authors : Li AM; Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement /Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, 530007, Nanning, China.; Chen ZL

Subjects: Saccharum*/Saccharum*/Saccharum*/metabolism; Bayes Theorem ; Data Analysis

  • Source: BMC genomics [BMC Genomics] 2022 Jul 22; Vol. 23 (1), pp. 532. Date of Electronic Publication: 2022 Jul 22.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium:

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Academic Journal

Assessment of label-free quantification and missing value imputation for proteomics in non-human primates.

  • Authors : Hamid Z; Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.; Zimmerman KD

Subjects: Algorithms* ; Proteomics*/Proteomics*/Proteomics*/methods; Animals

  • Source: BMC genomics [BMC Genomics] 2022 Jul 08; Vol. 23 (1), pp. 496. Date of Electronic Publication: 2022 Jul 08.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium:

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Academic Journal

Manipulating base quality scores enables variant calling from bisulfite sequencing alignments using conventional bayesian approaches.

  • Authors : Nunn A; ecSeq Bioinformatics GmbH, Sternwartenstraße 29, Leipzig, 04103, Germany.; Department of Computer Science, University of Leipzig, Härtelstraße 16-18, Leipzig, 04107, Germany.

Subjects: High-Throughput Nucleotide Sequencing*/High-Throughput Nucleotide Sequencing*/High-Throughput Nucleotide Sequencing*/methods; Bayes Theorem ; Humans

  • Source: BMC genomics [BMC Genomics] 2022 Jun 28; Vol. 23 (1), pp. 477. Date of Electronic Publication: 2022 Jun 28.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium:

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Academic Journal

Quantifying shifts in natural selection on codon usage between protein regions: a population genetics approach.

  • Authors : Cope AL; Genome Science and Technology, University of Tennessee, Knoxville, United States.; Current Address: Department of Genetics, Rutgers University, Piscataway, United States.

Subjects: Codon Usage* ; Saccharomyces cerevisiae*/Saccharomyces cerevisiae*/Saccharomyces cerevisiae*/genetics; Amino Acids/Amino Acids/Amino Acids/genetics

  • Source: BMC genomics [BMC Genomics] 2022 May 30; Vol. 23 (1), pp. 408. Date of Electronic Publication: 2022 May 30.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium:

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