Keywords and Expertise
Use keywords to characterize workflows and forum posts, and reach out to sellers with relevant expertise
A topic concerning high-throughput sequencing of cDNA to measure the RNA content (transcriptome) of a sample, for example, to investigate how different alleles of a gene are expressed, detect post-transcriptional mutations or identify gene fusions.|This includes small RNA profiling (small RNA-Seq), for example to find novel small RNAs, characterize mutations and analyze expression of small RNAs.
Metagenomics is the study of genetic material recovered directly from environmental samples, without the need for culturing individual organisms.
ATAC-seq or Assay for Transposase-Accessible Chromatin using sequencing is a popular NGS technique used to profile open chromatin regions. It provides insights into regions of the genome that are accessible to DNA-binding proteins, such as transcription factors, and can help identify regulatory elements like enhancers and promoters
Preeclampsia is persistent high blood pressure that develops during pregnancy or the postpartum period and is often associated with high levels of protein in the urine OR the new development of decreased blood platelets, trouble with the kidneys or liver, fluid in the lungs, or signs of brain trouble such as seizures and/or visual disturbances.
Nanopore is a technology that allows for the sequencing of DNA and RNA by passing a strand of nucleic acid through a tiny pore and measuring changes in electrical current as the strand passes through.
Protein and peptide identification, especially in the study of whole proteomes of organisms.|Includes metaproteomics: proteomics analysis of an environmental sample.|Proteomics includes any methods (especially high-throughput) that separate, characterize and identify expressed proteins such as mass spectrometry, two-dimensional gel electrophoresis and protein microarrays, as well as in-silico methods that perform proteolytic or mass calculations on a protein sequence and other analyses of protein production data, for example in different cells or tissues.
study, understand and explore the genomics of viruses to gain insights into their evolution, pathogenesis, and potential treatments
The study of evolutionary relationships amongst organisms.|This includes diverse phylogenetic methods, including phylogenetic tree construction, typically from molecular sequence or morphological data, methods that simulate DNA sequence evolution, a phylogenetic tree or the underlying data, or which estimate or use molecular clock and stratigraphic (age) data, methods for studying gene evolution etc.
The assembly of fragments of a DNA sequence to reconstruct the original sequence.|Assembly has two broad types, de-novo and re-sequencing. Re-sequencing is a specialised case of assembly, where an assembled (typically de-novo assembled) reference genome is available and is about 95% identical to the re-sequenced genome. All other cases of assembly are 'de-novo'.
An experiment for studying protein-protein interactions.|This used to have the ID http://edamontology.org/topic_3557 but the numerical part (owing to an error) duplicated http://edamontology.org/operation_3557 ('Imputation'). ID of this concept set to http://edamontology.org/topic_3957 in EDAM 1.24.
The analysis of levels and patterns of synthesis of gene products (proteins and functional RNA) including interpretation in functional terms of gene expression data.|Gene expression levels are analysed by identifying, quantifying or comparing mRNA transcripts, for example using microarrays, RNA-seq, northern blots, gene-indexed expression profiles etc.|This includes the study of codon usage in nucleotide sequence(s), genetic codes and so on.
Explore methods to mitigate the risk of COVID-10 outbreaks
The common steps involved in scRNAseq data processing are quality control, read alignment, gene expression quantification, normalization, dimensionality reduction, clustering, and differential gene expression analysis.
Multi-omics data analysis refers to the integration and analysis of multiple types of biological data, such as genomics, transcriptomics, proteomics, and metabolomics, to gain a more comprehensive understanding of biological systems.