ASSESSMENT OF INSERT SIZES AND ADAPTER CONTENT IN FASTQ DATA FROM NEXTERAXT LIBRARIES


COVID-19 Diagnosis Using Deep Learning

The coronavirus, which appeared in Wuhan city of China and named COVID-19 , spread rapidly and caused the death of many people.Early diagnosis is very important to prevent or slow the spread.The first preferred method by clinicians is real-time reverse Canvas transcription-polymerase chain reaction (RT-PCR).However, expected accuracy values cannot

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Animal products, diseases and drugs: a plea for better integration between agricultural sciences, human nutrition and human pharmacology

Abstract Eicosanoids are major players in the pathogenesis of several common diseases, with either overproduction or imbalance (e.g.between thromboxanes and prostacyclins) often leading to worsening of disease symptoms.Both the total rate of eicosanoid production and the balance between eicosanoids with opposite effects are strongly dependent on di

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Knowledge, willingness to provide service and preparedness for monkeypox infection among medical practitioners working in Bangladesh: a multicentred cross-sectional study

Background The resurfaced zoonotic disease, Monkeypox, has become a global public health concern recently.Therefore, the objective of this study was to assess the current knowledge, willingness to provide service during an outbreak and preparedness about human monkeypox among medical Dryer Thermistor practitioners in Bangladesh.Methods This cross-s

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Anti-SARS-CoV-2, antioxidant and immunomodulatory potential of dietary flavonol quercetin: Focus on molecular targets and clinical efficacy

The current coronavirus disease 2019 magnets (COVID-19) outbreak, caused by the infection of SARS-CoV-2, seems to be a tough global challenge because of its highly contagious nature and rapid evolution of the virus strain.As no effective clinical drugs are available for the treatment of this disease in the early phase till to date, scientists are h

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