We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
The python package 'DeepAnnotation' can be used to perform genomic selection (GS), which is a promising breeding strategy for agricultural breeding. DeepAnnotation predicts phenotypes from comprehensive multi-omics functional annotations with interpretable deep learning framework.
Phsaed Intraspecies Sample Anomalies Detection tool
VAHTS DNA Clean Beads Vazyme, N411 is based on SPRI Solid Phase Reverse Immobilization and is applicable for DNA purification and fragment size selection during the preparation of next generation sequencing library.
VAHTS DNA Clean Beads Vazyme, N411 is based on SPRI Solid Phase Reverse Immobilization and is applicable for DNA purification and fragment size selection during the preparation of next generation sequencing library.
Qubit dsDNA HS Assay Kit Invitrogen Q32854.
KAPA HiFi Hotstart Ready Mix Roche KK2602. KAPA HiFi DNA Polymerase is extensively used in next-generation sequencing NGS library amplification.
Exonuclease I NEB M0293L. Thermolabile Exonuclease I
RNase inhibitor NEB M0314L. RNase Inhibitor, Murine, specifically inhibits RNases A, B and C.
Pepsin Sigma P7000
SSC Ambion AM9770
ssDNA reagent Invitrogen Q10212
99.9 percentage, suitable for immunofluorescence, HPLC
VAHTS DNA Clean Beads Vazyme, N411 is based on Solid Phase Reverse Immobilization and is applicable for DNA purification and fragment size selection during the preparation of next generation sequencing library.
Tissue-Tek O.C.T. Compound is used to quickly embed fresh tissue specimens for frozen sections using a cryostat. Tissue-Tek O.C.T. Compound is a formulation of clear, water-soluble glycols and resins, providing a solid matrix to encapsulate tissue specimens and bond to the Specimen Holder for consistent sectioning in a cryostat working temperature of -10 degrees celsius and below.
Registration of stained histology sections using GreedyFHist.
MIIT is a Python framework for integrating spatially resolved multi-omics data.
PeptideMiner is a pipeline that uses profile hidden Markov models of neuropeptide families to search query datasets for neuropeptide homologues.
control siRNA
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