SNOMED CT is one of a suite of designated standards for use in U.S. Federal Government systems for the electronic exchange of clinical health information and is also a required standard in interoperability specifications of the U.S. Healthcare Information Technology Standards Panel.

This genetic variation services interconvert and transform short genetic variants between HGVS expressions, VCF format, and the new SPDI (Sequence Position Deletion Insertion) format, based on alignment datasets used by ClinVar and dbSNP. NOTE: This service is still in beta testing mode

Compute cDNA-to-Genomic sequence alignments.

Three dimensional structures provide a wealth of information on the biological function and the evolutionary history of macromolecules. They can be used to examine sequence-structure-function relationships, interactions, active sites, and more.

Information about abstracts with distinct, labeled sections (e.g., Introduction, Methods, Results, discussion) that appear in MEDLINE.

The Taxonomy Database is a curated classification and nomenclature for all of the organisms in the public sequence databases. This currently represents about 10% of the described species of life on the planet.

A database that contains sequences built from the existing primary sequence data in GenBank. The sequences and corresponding annotations are experimentally supported and have been published in a peer-reviewed scientific journal.

TOXLINE was the National Library of Medicine (NLM) bibliographic database for toxicology, a varied science encompassing many disciplines. TOXLINE records provide bibliographic information covering the biochemical, pharmacological, physiological, and toxicological effects of drugs and other chemicals. TOXLINE references were drawn from various sources organized into component subfiles.

This version of TOXLINE is no longer updated. Updated TOXLINE content is available in PubMed or by searching PubMed using the search string: tox [sb] .

A repository of DNA sequence chromatograms (traces), base calls, and quality estimates for single-pass reads from various large-scale sequencing projects.

TSA is an archive of computationally assembled transcript sequences from primary data such as ESTs and Next Generation Sequencing Technologies. The overlapping sequence reads from a complete transcriptome are assembled into transcripts by computational methods instead of by traditional cloning and sequencing of cloned cDNAs. The primary sequence data used in the assemblies must have been experimentally determined by the same submitter. TSA sequence records differ from GenBank records because there are no physical counterparts to the assemblies.