Using high-throughput sequencing transcriptome data for INDEL detection: challenges for cancer drug discovery

作者: Gabriel Wajnberg , Fabio Passetti

DOI: 10.1517/17460441.2016.1143813

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摘要: AbstractIntroduction: A cancer cell is a mosaic of genomic and epigenomic alterations. Distinct molecular signatures can be observed depending on tumor type or patient genetic background. One alteration the insertion and/or deletion (INDEL) nucleotides in DNA sequence, which may vary length, change encoded protein modify domains. INDELs are associated to large number diseases their detection done based low-throughput techniques. However, high-throughput sequencing has also started used for novel disease-causing INDELs. This search identify drug targets.Areas Covered: review presents examples using (DNA-Seq RNA-Seq) investigate incidence coding regions human genes. Some these successfully utilized RNA-Seq diseases. In addition, other studies have described small related chemo-resistance ...

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