Libraries were subjected to 35-bp paired-end sequencing using an Illumina NextSeq 500 platform on high output mode at the Einstein Epigenomics Core. Fastq files were generated using Picard tools (v.2.17.1), with adaptor trimming by TrimGalore (v.0.3.7) and QC assessment using FASTQC (v....
, PCA of the top-500 most variable genes in GMP cells collected at 3 w.p.i. c, Top-five activated or inhibited haematological functions and diseases associated with KLS cells with Daxx and Pu.1 DKO- (left) and Pu.1-KO-specific (right) gene expression changes. d...
This engine produces the maximum output when the engine is running at about 8,500rpm. Be sure to use a propeller which makes the engine speed approximately 7,000 ~ 9,000rpm while the airplane is flying. When using a propeller of small diameter, a light weight propeller is not suitable. ...
NIH-3T3 cells at 70% confluency were transfected using Superfect Transfection Reagent (Qiagen) with 1 μg of PU.1 reporter plasmid with either wild-type or mutant PU.1 sites inserted into the promoterless luciferase vector pXP2,34, 35 500 ng of expression vector, and 100 ng of cytomegalovir...
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3NB-500, 3NB-800, 3NB-1000, 3NB-1300, 3NB-1600 Detailed Photos Company InformationUPET OILFIELD EQUIPMENTS CO.,LTD is one of the most well-known suppliers for the oilfield equipments in China, was established in 2000, ...
500 3.758100 1.686157 0.945214 97.299000 17.266000 1000 0.691400 0.476487 0.391427 98.283300 17.093000 1500 0.202400 0.403425 0.330715 99.078100 16.956000 2000 0.115200 0.405025 0.307353 98.116500 17.122000 2500 0.075000 0.428119 0.294053 98.496500 17.056000 3000 0.058200 0.442629 0.287299 98.8713...
( output_dir=repo_name, group_by_length=True, per_device_train_batch_size=32, evaluation_strategy="steps", num_train_epochs=30, fp16=True, gradient_checkpointing=True, save_steps=500, eval_steps=500, logging_steps=500, learning_rate=1e-4, weight_decay=0.005, warm...
( output_dir=repo_name, group_by_length=True, per_device_train_batch_size=32, evaluation_strategy="steps", num_train_epochs=30, fp16=True, gradient_checkpointing=True, save_steps=500, eval_steps=500, logging_steps=500, learning_rate=1e-4, weight_decay=0.005, warm...