NCBI Datasets is a valuable resource that simplifies the process of gathering data from various NCBI databases. Whether you’re a researcher, scientist, or bioinformatician, NCBI Datasets provides an efficient way to access sequence information, annotations, and metadata for genes and genomes.

THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 19, 2012. Due to budgetary constraints, the National Center for Biotechnology Information (NCBI) has discontinued support for the NCBI GENSAT database, and it has been removed from the Entrez System. The Gene Expression Nervous System Atlas (GENSAT) project involves the large-scale creation of transgenic mouse lines expressing green fluorescent protein (GFP) reporter or Cre recombinase under control of the BAC promoter in specific neural and glial cell populations. BAC expression data for all the lines generated (over 1300 lines) are available in online, searchable databases (www.gensat.org and the Database of GENSAT BAC-Cre driver lines). If you have any specific questions, please feel free to contact us at info_at_ncbi.nlm.nih.gov The GENSAT project aims to map the expression of genes in the central nervous system of the mouse, using both in situ hybridization and transgenic mouse techniques. Search criteria include gene names, gene symbols, gene aliases and synonyms, mouse ages, and imaging protocols. Mouse ages are restricted to E10.5 (embryonic day 10.5), E15.5 (embryonic day 15.5), P7 (postnatal day 7), and Adult (adult). The project focuses on two techniques * Evaluation of unmodified mice lines for expression of a given gene using radiolabelled riboprobes and in-situ hybridization. * Creation of transgenic mice lines containing a BAC construct that expresses a marker gene in the same environment as the native gene

Link Function: information

The NCBI taxonomy database is not a primary source for taxonomic or phylogenetic information. Furthermore, the database does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts. Consequently, the NCBI taxonomy database is not a phylogenetic or taxonomic authority and should not be cited as such.

Database of unannotated short single-read primarily genomic sequences from GenBank including random survey sequences clone-end sequences and exon-trapped sequences. The GSS division of GenBank is similar to the EST division, with the exception that most of the sequences are genomic in origin, rather than cDNA (mRNA). It should be noted that two classes (exon trapped products and gene trapped products) may be derived via a cDNA intermediate. Care should be taken when analyzing sequences from either of these classes, as a splicing event could have occurred and the sequence represented in the record may be interrupted when compared to genomic sequence. The GSS division contains (but is not limited to) the following types of data: * random single pass read genome survey sequences. * cosmid/BAC/YAC end sequences * exon trapped genomic sequences * Alu PCR sequences * transposon-tagged sequences Although dbGSS sequences are incorporated into the GSS Division of GenBank, annotation in dbGSS is more comprehensive and includes detailed information about the contributors, experimental conditions, and genetic map locations.

Databases of protein sequences and 3D structures of proteins. Collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and TPA, as well as records from SwissProt, PIR, PRF, and PDB.

COInr is a non-redundant, comprehensive database of COI sequences extracted from NCBI-nt and BOLD. It is not limited to a taxon, a gene region, or a taxonomic resolution. Sequences are dereplicated between databases and within taxa.

Each taxon has a unique taxonomic Identifier (taxID), fundamental to avoid ambiguous associations of homonyms and synonyms in the source database. TaxIDs form a coherent hierarchical system fully compatible with the NCBI taxIDs allowing creating their full or ranked linages.

COInr is a good starting point to create custom databases according to the users’ needs using mkCOInr scripts available at https://github.com/meglecz/mkCOInr
It is possible to select/eliminate sequences for a list of taxa, select a specific gene region, select for minimum taxonomic resolution, add new custom sequences, and format the database for BLAST, QIIME, RDP classifiers.

NCBI Genbank Data Backbone File -- Smithsonian Gap Analysis Tool; Data download of the NCBI database (https://www.ncbi.nlm.nih.gov/genbank/.org) formatted for use in the Smithsonian Gap Analysis tool.

Database that provides access to biological systems and their component genes, proteins, and small molecules, as well as literature describing those biosystems and other related data throughout Entrez. A biosystem, or biological system, is a group of molecules that interact directly or indirectly, where the grouping is relevant to the characterization of living matter. BioSystem records list and categorize components, such as the genes, proteins, and small molecules involved in a biological system. The companion FLink tool, in turn, allows you to input a list of proteins, genes, or small molecules and retrieve a ranked list of biosystems. A number of databases provide diagrams showing the components and products of biological pathways along with corresponding annotations and links to literature. This database was developed as a complementary project to (1) serve as a centralized repository of data; (2) connect the biosystem records with associated literature, molecular, and chemical data throughout the Entrez system; and (3) facilitate computation on biosystems data. The NCBI BioSystems Database currently contains records from several source databases: KEGG, BioCyc (including its Tier 1 EcoCyc and MetaCyc databases, and its Tier 2 databases), Reactome, the National Cancer Institute's Pathway Interaction Database, WikiPathways, and Gene Ontology (GO). It includes several types of records such as pathways, structural complexes, and functional sets, and is desiged to accomodate other record types, such as diseases, as data become available. Through these collaborations, the BioSystems database facilitates access to, and provides the ability to compute on, a wide range of biosystems data. If you are interested in depositing data into the BioSystems database, please contact them.

A comprehensive, integrated, non-redundant, well-annotated set of reference sequences including genomic, transcript, and protein.

This database was built to identify taxa in metagenome samples using the CCMetagen pipeline. The whole NCBI nt collection allows a complete taxonomic overview, including from microbial eukaryotes that may be present in the dataset. This database is already indexed, ready to use with KMA and CCMetagen.

A manual describing how to use this dataset can be found at: https://github.com/vrmarcelino/CCMetagen

Additionally, a tutorial on the whole analysis of a set of metatranscriptome samples can be found at: https://github.com/vrmarcelino/CCMetagen/tree/master/tutorial

The database was built as follows:

The partially non-redundant nucleotide database was downloaded from the NCBI website (ftp://ftp.ncbi.nih.gov/blast/db/FASTA/nt.gz) in January 2018. This database was formatted to include taxids in sequence headers.

Indexing was then performed with KMA using the commands:

kma_index -i nt_taxid.fas -o ncbi_nt -NI -Sparse TG

Three indexed databases are provided:

1. NCBI nucleotide collection
2. RefSeq database of bacterial and fungal genomes

Number of sequences derived from NCBI-nr database, which were annotated to the fatty acid metabolism pathway and bisphenol A degradation metabolism pathway. (DOCX)

This search engine combs for information from over 30 major databases at NCBI, including PubMed, nucleic acids, amino acid sequences, expression data, PubChem (small molecules with biochemical functions), protein structure, sequenced genomes, and taxonomy. The search engine provides links to the search results, as well as to other related databases.

The 23S ribosomal RNA targeted loci project is the result of an international collaboration between a number of ribosomal RNA databases and NCBI to provide a curated and comprehensive set of complete and near full length Reference Sequence records for phylogenetic and evolutionary analyses. Sequences that represent the consensus of all contributing databases in both sequence content and taxonomic assignment are promoted to RefSeqs. All sequences will have the same project ID and can be found as such. Database URL: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA188943.

Entrez Gene is the NCBI's database for gene-specific information, focusing on completely sequenced genomes, those with an active research community to contribute gene-specific information, or those that are scheduled for intense sequence analysis.

Contaminating sequences in public genome databases is a pervasive issue with potentially far-reaching consequences. This problem has attracted much attention in the recent literature and many different tools are now available to detect contaminants. Although these methods are based on diverse algorithms that can sometimes produce widely different estimates of the contamination level, the majority of genomic studies rely on a single method of detection, which represents a risk of systematic error. In this work, we used two orthogonal methods to assess the level of contamination among National Center for Biotechnological Information Reference Sequence Database (RefSeq) bacterial genomes. First, we applied the most popular solution, CheckM, which is based on gene markers. We then complemented this approach by a genome-wide method, termed Physeter, which now implements a k-folds algorithm to avoid inaccurate detection due to potential contamination of the reference database. We demonstrate that CheckM cannot currently be applied to all available genomes and bacterial groups. While it performed well on the majority of RefSeq genomes, it produced dubious results for 12,326 organisms. Among those, Physeter identified 239 contaminated genomes that had been missed by CheckM. In conclusion, we emphasize the importance of using multiple methods of detection while providing an upgrade of our own detection tool, Physeter, which minimizes incorrect contamination estimates in the context of unavoidably contaminated reference databases.

The dynamics of coronavirus disease-19 (COVID-19) have been extensively researched in many settings around the world, but little is known about these patterns in Africa. 7540 complete nucleotide genomes from 51 African nations were obtained and analysed from the National Center for Biotechnology Information (NCBI) and Global Initiative on Sharing Influenza Data (GISAID) databases to examine genetic diversity and spread dynamics of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) lineages circulating in Africa. Utilising a variety of clade and lineage nomenclature schemes, we looked at their diversity, and used maximum parsimony inference methods to recreate their evolutionary divergence and history. According to this study, only 465 of the 2610 Pango lineages found to have existed in the world circulated in Africa after three years of the COVID-19 pandemic outbreak, with five different lineages dominating at various points during the outbreak. We identified South Africa, Ken..., Dataset mining and workflow SARS-CoV-2 genome sequences collected from Africa were obtained from NCBI database and GISAID database on February 26, 2023. 24415 African sequences were retrieved from both databases so as to examine the number of lineages circulating within Africa. The two databases had only 8044 complete genome sequences combined from Africa, and these sequences excluding those with low coverage using NextClade were retrieved to determine spread dynamics. 5908 sequences from 23 African countries were available in the NCBI and 2137 sequences from 41 African countries from GISAID database. The sequences were aligned using the online version of the MAFFT multiple sequence alignment tool, with the Wuhan-Hu-1 (MN 908947.3) as the reference sequence, and sequences with more than 5.0% ambiguous letters were removed. Duplicates were removed using goalign dedup software and only high quality African complete sequences remained (n=7540). Phylogenetic reconstruction Using IQ-TREE mu..., , # Genetic diversity and spread dynamics of SARS-CoV-2 variants present in African populations

https://doi.org/10.5061/dryad.1c59zw42d

Description of the data

A.23.1 – folder with information of Variant A (A.23.1) lineage

•  _out.220209031522640G0LQd4KgcYqlpNnB3CSHJlsfnormal.txt – all A.23.1 sequences used in this study
• A.23.1dates.csv – information on sequence ID, where they were collected (State) and when they were collected (Date) in csv file format      separated by a comma
• A.23.1dates.xlsx – information on sequence ID, where they were collected (State) and when they were collected (Date) in xlsx file format
• A.23.1dates2.txt - information on sequence ID, where they were collected (State) and when they were collected (Date) in csv file format separated by tab
• DedupA.23.1.fasta – a fasta file with A.23.1 sequences cleaned of duplicates
• DedupA.23.1.fasta.bionj – contains neighbor-joining algorithm of sait...

Database developed to archive and distribute clinical data and results from studies that have investigated interaction of genotype and phenotype in humans. Database to archive and distribute results of studies including genome-wide association studies, medical sequencing, molecular diagnostic assays, and association between genotype and non-clinical traits.

The NCBI Probe Database is a public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications, together with information on reagent distributors, probe effectiveness, and computed sequence similarities.

Database for a curated classification and nomenclature that contains the names of all organisms that are represented in the public sequence databases with at least one nucleotide or protein sequence. Data provided encompasses archaea, bacteria, eukaryota, viroids and viruses. The NCBI taxonomy database is not a primary source for taxonomic or phylogenetic information. Furthermore, the database does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts. Consequently, the NCBI taxonomy database is not a phylogenetic or taxonomic authority and should not be cited as such.