Your English writing platform
Discover LudwigThe phrase "abundant term" is not commonly used in written English and may not convey a clear meaning.
It could be used in contexts where you want to describe a term that is plentiful or widely used, but it may require additional context for clarity.
Example: "In the field of economics, the phrase 'abundant term' often refers to concepts that are frequently discussed and analyzed."
Alternatives: "common term" or "prevalent term".
Exact(3)
Each cluster with enriched GO terms was assigned the number of children of its most abundant term.
Concerning the CC, 'membrane' was the most abundant term in all families, except for the Solanaceae where 'protein complex' was the most frequent.
In the molecular function category, catalytic activity (9,612 Unigenes, 46.19%) represented the most abundant term, followed by binding (8,770 Unigenes, 42.15%), transporter activity (1,036, 4.98%) and molecular transducer activity (441, 2.12%).
Similar(57)
The most abundant terms were for 'protein amino acid phosphorylation', representing 56 genes.
Other abundant terms include those related to DNA interaction, DNA damage, cell cycle control and apoptosis (Table 6).
In the biological process category, the metabolic process (34.55%) and cellular process (33.00%) level 2 terms were the most abundant terms.
GO term enrichment analysis shows that the most abundant terms amongst previously corroborated smORFs are ribosome constituents, oxidoreductase activity, and transporter activity.
With the exception of 'regulation of transcription', 'DNA binding' and 'biological process', the top 21 most abundant terms were subsequently used to classify the TFs.
Also, cell and organelle were the most abundant terms in the cellular component category in the tribblei and lenavati data sets.
The most abundant terms in the Biological Process category include cellular process and metabolic process and in the Molecular Function category, catalytic activity and binding.
The assignment of GO terms to each chromosome arm was largely similar, and, the most abundant terms found in each of the 3 ontologies are summarized in Figure 8.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com