LibGuides: Computer Science Research Guide: Bio-Cheminformatics

Bio-Cheminformatics

The Bio-Cheminformatics option at UML provides an opportunity for Computer Science majors to broaden their knowledge base in the disciplines of biology and chemistry, and to learn, design, and implement computer science tools relevant to the disciplines. Bioinformatics focuses on different biological field disciplines (such as genome sequencing and functional genomics), while chemoinformatics has a focus on small molecules and drug discovery.

We have gathered some resources below to assist your bio-cheminformatics coursework and research.

Library Resources

ACM Digital Library
A key collection of citations and journal articles in computer science from the Association for Computing Machinery covering topics specific to bio-cheminformatics such as life and medical sciences, computational bio-imaging, data visualization, statistical genetics, digital pathology, computational drug discovery and more. Publication dates: 1908 - current
PubMed
More than just medical literature, PubMed was developed by the National Center for Biotechnology Information (NCBI) and publishers of life sciences literature. PubMed consists of over 25 million citations for biomedical literature from Medline, life science journals and online books.
PubChem
PubChem is an open chemistry database from the National Institutes of Health. Launched in 2004, this resource includes information on chemical structures, identifiers, chemical and physical properties, biological activities, patents, health, safety, toxicity data, and more.

Bioinformatics with Python Cookbook
Discover modern, next-generation sequencing libraries from the powerful Python ecosystem to perform cutting-edge research and analyze large amounts of biological data. Become familiar with data processing libraries such as NumPy, pandas, arrow, and zarr in the context of bioinformatic analysis (2022).

Web Resources

National Center for Biotechnology Information (NCBI)
A collection of public databases for research in computational biology, genome data, and biomedical information.
NCBI Develop
NCBI Develop provides a variety of resources that allow developers to access and manipulate NCBI data in their software applications. Use this resource for information on APIs, code libraries, and data formats.
arXiv Quantitative Biology
arXiv is an electronic preprint service in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, electrical engineering and systems science, and economics. arXiv is owned and operated by Cornell University and is funded by Cornell University, the Simons Foundations, and other member institutions.