Extraction of human genomic DNA from whole blood using a magnetic microsphere method
International Journal of Nanomedicine, 2014 Rui Gong,1 Shengying Li2 1Pharmaceutical Department, The Second Hospital of Tianjin Medical University, 2Clinical Laboratory, Tianjin Children's Hospital, Tianjin, People's Republic of China Abstract: With the rapid development of molecular ...
Gong R, Li S
doaj
Investigation of mycobacteria in Crohn's disease tissue by Southern blotting and DNA hybridisation with cloned mycobacterial genomic DNA probes from a Crohn's disease isolated mycobacteria. [PDF]
, 1988 Philip D. Butcher +2 more
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The role of nuclear receptor co-activator 4 in erythropoiesis (Reply to Nai et al.)
Haematologica, 2019 Naiara Santana-Codina +5 more
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Human Genome Book: Words, Sentences and Paragraphs [PDF]
arXivSince the completion of the human genome sequencing project in 2001, significant progress has been made in areas such as gene regulation editing and protein structure prediction. However, given the vast amount of genomic data, the segments that can be fully annotated and understood remain relatively limited.
arxiv
A novel and rapid method to generate single stranded DNA probes for genomic footprinting [PDF]
, 1988 Falk Weih +2 more
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Occult hepatitis B in kidney transplants recipients and donors from Western Mexico
International Journal of Infectious Diseases, 2020 Background: Occult hepatitis B virus infection (OBI) is defined as the presence of hepatitis B virus (HBV) DNA in serum and/or liver from HBsAg-negative subjects.
David A. Fernández-Galindo +9 more
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Analysis of the genomic termini of tupaia herpesvirus DNA by restriction mapping and nucleotide sequencing [PDF]
, 1985 Marcus W. Albrecht +2 more
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Genomic DNA Labeling for Hybridization with DNA Arrays [PDF]
BioTechniques, 2003 Igor Ivanov, Peter Amon
openaire +4 more sources
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA [PDF]
arXivFoundation models have made significant strides in understanding the genomic language of DNA sequences. However, previous models typically adopt the tokenization methods designed for natural language, which are unsuitable for DNA sequences due to their unique characteristics.
arxiv