Shih, Ching-YuChing-YuShihAmrita ChattopadhyayCHIEN-HUI WUYU-WEN TIENTZU-PIN LU2021-11-262021-11-262021-06-281471-2105https://scholars.lib.ntu.edu.tw/handle/123456789/587899An individual's genetics play a role in how RNA transcripts are generated from DNA and consequently in their translation into protein. Transcriptional and translational profiling of patients furnishes the information that a specific marker is present; however, it fails to provide evidence whether the marker correlates with response to a therapeutic agent. A comparative analysis of the frequency of genetic variants, such as single nucleotide polymorphisms (SNPs), in diseased and general populations can identify pathogenic variants in individual patients. This is in part because SNPs have considerable effects on protein function and gene expression when they occur in coding regions and regulatory sequences, respectively. Therefore, a tool that can help users to obtain the allele frequency for a corresponding transcript is the need of the day. Several annotation tools such as SNPnexus and VariED are publicly available; however, none of them can use transcript IDs as input and provide the corresponding genomic positions of variants.enAllele frequency; R package; TransAT; Transcript annotation; Variant annotation[SDGs]SDG3Gene expression; Proteins; Comparative analysis; Ethnic populations; General population; Global population; Protein functions; Regulatory sequences; Single nucleotide polymorphisms; Therapeutic agents; Translation (languages); genome; genomics; human; molecular genetics; single nucleotide polymorphism; software; Genome; Genomics; Humans; Molecular Sequence Annotation; Polymorphism, Single Nucleotide; Softwarejournal article10.1186/s12859-021-04243-z341829192-s2.0-85109369286https://scholars.lib.ntu.edu.tw/handle/123456789/577821