نتایج جستجو برای: bioinformatics tools
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BioContainers is an open-source project that aims to create, store, and distribute bioinformatics software containers packages. The community has developed a set of guidelines standardize including the metadata, versions, licenses, dependencies. supports multiple packaging container technologies such as Conda, Docker, Singularity. provide over 9000 tools, more than 200 proteomics mass spectrome...
Prolactin is mainly secreted by the anterior pituitary and is able to stimulate mammary gland development and lactation in mammalians. Although prolactins share a common ancestral gene encoding, they show species specific characteristics and their efficiency may be different in various mammals. The importance of protein structures of all sequences of this hormone have been studied by various bi...
The Bioinformatics Links Directory is an online community resource that contains a directory of freely available tools, databases, and resources for bioinformatics and molecular biology research. The listing of the servers published in this and previous issues of Nucleic Acids Research together with other useful tools and websites represents a rich repository of resources that are openly provid...
MOTIVATION We introduce a development platform especially tailored to Bioinformatics research and software development. BIAS (Bioinformatics Integrated Application Software) provides the tools necessary for carrying out integrative Bioinformatics research requiring multiple datasets and analysis tools. It follows an object-relational strategy for providing persistent objects, allows third-party...
The immensely popular fields of cancer research and bioinformatics overlap in many different areas, e.g. large data repositories that allow for users to analyze data from many experiments (data handling, databases), pattern mining, microarray data analysis, and interpretation of proteomics data. There are many newly available resources in these areas that may be unfamiliar to most cancer resear...
background: prediction of interaction sites within the membrane protein complexes using the sequence data is of a great importance, because it would find applications in modification of molecules transport through membrane, signaling pathways and drug targets of many diseases. nevertheless, it has gained little attention from the protein structural bioinformatics community. methods: in this stu...
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