How Can Uncharacterized or Novel Genes Be Identified from Known Transcriptomic Data? Is Literature Search the Only Option?
Identifying uncharacterized or novel genes from existing transcriptomic data involves multiple strategies beyond literature review. One effective approach is to compare the transcriptomic dataset against publicly available gene annotation databases to detect transcripts that lack known annotations. Bioinformatics tools such as BLAST, Ensembl, NCBI, or the UCSC Genome Browser can be employed to align transcriptomic sequences with reference genomes, allowing the identification of sequences without known matches.
In addition, gene prediction software such as AUGUSTUS or GeneMark can be utilized to computationally predict putative coding regions, providing further insight into potential novel genes that may have been overlooked in previous annotations. This integrative approach enables the discovery of previously unstudied genes through both comparative genomics and ab initio gene prediction, rather than relying solely on information available in existing literature.
MtoZ Biolabs, an integrated chromatography and mass spectrometry (MS) services provider.
Related Services
How to order?
