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Transcriptomics technologies

Transcriptomics technologies are the techniques used to study an organism's transcriptome, the sum of all of its RNA transcripts. The information content of an organism is recorded in the DNA of its genome and expressed through transcription. Here, mRNA serves as a transient intermediary molecule in the information network, whilst non-coding RNAs perform…

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Data gathering

Data analysis

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Transcriptome databases

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Transcriptomics technologies

Nodes212
Edges211
Triples47
Avg. degree1.99
Density0.009434
Components1

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Transcriptomics technologies

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related to References · 19
Transcriptomics technologies → CC BY, ISSN, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Mark Bleackley, May, Neil Shirley, PLOS Computational Biology, PMC, PMID, Rohan Lowe, S2CID, Stephen Dolan, This, Thomas Shafee, Transcriptomics, Wikidata Q33703532, Wikisource-logo
related to Further reading · 14
Transcriptomics technologies → Bibcode, Bleackley, Comparative Transcriptomics Analysis, Dolan, Life SciencesSoftware, Lowe, May, PLOS Computational Biology, PMC, PMID, Reference Module, Shafee, Shirley, Transcriptomics

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Important terminology

rna-seq sequencing gene transcripts rna transcriptome expression transcript sequence genes transcriptomics used methods analysis data genome information sequences probes using

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
sequencing by synthesisinstance ofThe Sanger method of sequencing was predominant until the advent of high-throughput methods0.80text
splice variants.Development of contemporary techniquesThe dominant contemporary techniquesinstance ofwhich provided additional information on transcript structure0.80text
microarraysinstance ofwhich provided additional information on transcript structure0.80text
RNA-Seqinstance ofwhich provided additional information on transcript structure0.80text
were developed in the mid-1990sinstance ofwhich provided additional information on transcript structure0.80text
2000sinstance ofwhich provided additional information on transcript structure0.80text
splice variantsinstance ofwhich provided additional information on transcript structure0.80text
Sanger sequencinginstance ofbut long read-length methods0.80text
those used by tophat/cufflinks softwareinstance ofThe kallisto software method combines pseudoalignment and quantification into a single step that runs 2 orders of magnitude faster than contemporary methods0.80text
with less computational burden.Differential expressionOnce quantitative counts of each transcript are availableinstance ofThe kallisto software method combines pseudoalignment and quantification into a single step that runs 2 orders of magnitude faster than contemporary methods0.80text
differential gene expression is measured by normalisinginstance ofThe kallisto software method combines pseudoalignment and quantification into a single step that runs 2 orders of magnitude faster than contemporary methods0.80text
modellinginstance ofThe kallisto software method combines pseudoalignment and quantification into a single step that runs 2 orders of magnitude faster than contemporary methods0.80text

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