Making sense of deep sequencing - PubMed
pubmed.ncbi.nlm.nih.gov › 24925306Deep sequencing, synonymous with next-generation sequencing, high-throughput sequencing and massively parallel sequencing, includes whole genome sequencing but is more often and diversely applied to specific parts of the genome captured in different ways, for example the highly expressed portion of the genome known as the exome and portions of ...
Deep Sequencing - Illumina
www.illumina.com › deep-sequencingDeep sequencing is useful for studies in cancer, microbiology, and other research involving analysis of rare cell populations. For example, deep sequencing is required to identify mutations within tumors, because normal cell contamination is common in cancer samples, and the tumors themselves likely contain multiple sub-clones of cancer cells.
Deep Sequence Modeling
introtodeeplearning.com/2019/materials/2019_6S191_L2.pdf6.S191 Introduction to Deep Learning introtodeeplearning.com 1/28/19 Problem #3: no parameter sharing Each of these inputs has a separate parameter: [0001000100010001000000001…] this morning [1000000001001000100000010…] this morning took the cat Things we learn about the sequence won’t transfer if they appear elsewherein the sequence.
DNA sequencing - Wikipedia
https://en.wikipedia.org/wiki/DNA_sequencingDNA sequencing is the process of determining the nucleic acid sequence – the order of nucleotides in DNA.It includes any method or technology that is used to determine the order of the four bases: adenine, guanine, cytosine, and thymine.The advent of rapid DNA sequencing methods has greatly accelerated biological and medical research and discovery.