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Most Ensembl Genomes data is stored in MySQL relational databases and can be accessed by the Ensembl REST interface, the Perl API, Biomart or online. [5] Ensembl Genomes is an open project, and most of the code, tools, and data are available to the public. [6] Ensembl and Ensembl Genomes software uses an Apache 2.0 license [7] license.
Component-based data mining and machine learning software suite written in C++, featuring a visual programming front-end for exploratory data analysis and interactive visualization, and Python bindings and libraries for scripting Linux, macOS, Windows: GPL: University of Ljubljana: SAMtools
Ensembl makes these data freely accessible to the world research community. All the data and code produced by the Ensembl project is available to download, [7] and there is also a publicly accessible database server allowing remote access. In addition, the Ensembl website provides computer-generated visual displays of much of the data.
The databases in the table below are selected from the databases listed in the Nucleic Acids Research (NAR) databases issues and database collection and the databases cross-referenced in the UniProtKB. Most of these databases are cross-referenced with UniProt / UniProtKB so that identifiers can be mapped to each other. [15] Proteins in human:
The Consensus Coding Sequence (CCDS) Project is a collaborative effort to maintain a dataset of protein-coding regions that are identically annotated on the human and mouse reference genome assemblies.
MANE (Matched Annotation from the NCBI and EMBL-EBI): It is a collaborative project between NCBI and EMBL-EBI whose main goal is to define a set of transcripts and their proteins for all the protein-coding genes in the human genome. By doing that, the differences in transcripts annotation between RefSeq and Ensembl/GENCODE annotation systems ...
However, comparing these new sequences to those with known functions is a key way of understanding the biology of an organism from which the new sequence comes. Thus, sequence analysis can be used to assign function to coding and non-coding regions in a biological sequence usually by comparing sequences and studying similarities and differences.
The Encyclopedia of DNA Elements (ENCODE) is a public research project which aims "to build a comprehensive parts list of functional elements in the human genome." [2]ENCODE also supports further biomedical research by "generating community resources of genomics data, software, tools and methods for genomics data analysis, and products resulting from data analyses and interpretations."