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Related Concept Videos

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Introductory Analysis and Validation of CUT&RUN Sequencing Data
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Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Bioinformatics and cheminformatics: where do the twain meet?

N Sukumar1, Michael Krein, Curt M Breneman

  • 1Department of Chemistry and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. nagams@rpi.edu

Current Opinion in Drug Discovery & Development
|April 23, 2008
PubMed
Summary

Cheminformatics and bioinformatics are converging, integrating molecular and systems biology approaches. Research shows shared tools and data fusion methods are key for understanding molecular interactions in the post-genomic era.

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Area of Science:

  • Computational chemistry and biology
  • Bioinformatics and Cheminformatics

Background:

  • The post-genomic era necessitates integrating cheminformatics and bioinformatics.
  • Traditional molecular descriptions and systems biology networks are evolving.

Purpose of the Study:

  • To review research demonstrating the convergence of cheminformatics and bioinformatics.
  • To highlight shared methodologies and their impact on molecular informatics.

Main Methods:

  • Review of recent research at the cheminformatics-bioinformatics interface.
  • Analysis of graph theory applications in both molecular and systems biology.
  • Examination of structure-based descriptors for molecular interactions.
  • Evaluation of data fusion and ontology methods for data integration.

Main Results:

  • Evidence of convergence between cheminformatics and bioinformatics is presented.
  • Graph theory is a shared tool for molecular topology and systems biology networks.
  • Structure-based descriptors are crucial for understanding molecular interactions.
  • Data fusion and shared ontologies facilitate integrated molecular data analysis.

Conclusions:

  • The integration of cheminformatics and bioinformatics is essential for advancing molecular understanding.
  • Shared tools, techniques, and data integration strategies are driving this convergence.
  • This interdisciplinary approach provides a holistic view of the molecular informatics domain.