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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
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Related Experiment Video

Updated: Jan 4, 2026

Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization
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AIDE: annotation-assisted isoform discovery with high precision.

Wei Vivian Li1,2, Shan Li3, Xin Tong4

  • 1Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, USA.

Genome Research
|November 8, 2019
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Summary
This summary is machine-generated.

Annotation-Assisted Isoform Discovery (AIDE) accurately identifies mRNA isoforms from RNA-seq data. This novel method leverages annotation to improve precision and reduce errors in transcript discovery and abundance estimation.

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Area of Science:

  • Transcriptomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Accurate identification and quantification of full-length mRNA isoforms are essential for understanding gene regulation.
  • Short sequence reads from RNA-seq experiments present significant challenges for precise isoform discovery due to information loss.

Purpose of the Study:

  • To introduce Annotation-Assisted Isoform Discovery (AIDE), a novel statistical method for accurate mRNA isoform identification.
  • To control false isoform discoveries using a testing-based model selection principle.

Main Methods:

  • AIDE employs a stepwise and conservative approach, prioritizing annotated isoforms.
  • It identifies novel isoforms by assessing their significant contribution to explaining RNA-seq reads.
  • Performance was validated using simulated and real RNA-seq datasets, followed by PCR-Sanger sequencing.

Main Results:

  • AIDE effectively utilizes annotation information to overcome limitations of short read lengths.
  • The method demonstrated superior precision in isoform discovery compared to Cufflinks, SLIDE, and StringTie.
  • AIDE achieved the lowest error rates in estimating isoform abundance.

Conclusions:

  • AIDE is a robust bioinformatics tool for transcriptome analysis.
  • It enables high-confidence discovery of novel transcripts.
  • The approach enhances the accuracy of mRNA isoform identification and quantification.