GFP-cDNA refers to a complementary DNA (cDNA) that encodes the green fluorescent protein (GFP). GFP is a bioluminescent protein originally found in the jellyfish *Aequorea victoria*, and it emits a bright green fluorescence when exposed to ultraviolet or blue light. In molecular biology, cDNA is synthesized from messenger RNA (mRNA) through a process called reverse transcription.

Gene Set Enrichment Analysis (GSEA) is a computational method used to identify whether a predefined set of genes shows statistically significant differences in expression under different biological conditions, such as diseased versus healthy states or various treatments. The goal of GSEA is to determine whether genes that share common biological functions, chromosomal locations, or regulation are overrepresented (enriched) within a specific group of genes that have been identified as being significantly different between conditions.

Genome survey sequencing (GSS) is a technique used to obtain a preliminary assessment of the genetic content of an organism's genome. This method typically involves sequencing a small portion of the genome, or specific regions of interest, to gather information about its structure, function, and organization without the need for full genome sequencing.

As of my last knowledge update in October 2023, there isn't a widely recognized individual named Subhasish Dey in global news, history, or popular culture. It's possible that Subhasish Dey could refer to a private individual or a person who is not widely known outside of a specific context, such as a local community, profession, or field of study.

Glycoinformatics is an interdisciplinary field that combines glycomics, which is the study of glycan structures and their functions, with bioinformatics tools and methodologies. Glycans, or carbohydrates, are essential biomolecules that play crucial roles in various biological processes, including cell signaling, immune response, and disease progression. Glycoinformatics focuses on the computational analysis, interpretation, and visualization of glycan structures, networks, and their interactions.

GoPubMed is a search engine that specializes in retrieving biomedical literature from the PubMed database. It combines advanced searching capabilities with semantic technologies, allowing users to find relevant research articles and information more efficiently. GoPubMed enables users to explore topics by using various filters, taxonomies, and concepts, making it easier to navigate through a vast amount of medical and scientific literature.

ITools Resourceome is a web-based bioinformatics tool designed for the visualization and analysis of biological data, particularly in the context of genomics and proteomics. It provides users with a platform to explore various resources related to gene expression, protein interaction, and other biological data sets. The tool aims to integrate diverse biological information and facilitate research by offering features such as data mining, graphical representation, and analysis options.

Integrative bioinformatics is an interdisciplinary field that combines computational biology, systems biology, and various bioinformatics approaches to analyze and interpret biological data from multiple sources. The goal of integrative bioinformatics is to create a holistic understanding of biological systems by integrating diverse types of data—from genomics, transcriptomics, proteomics, metabolomics, and epigenomics, to clinical and environmental data.

The MIRIAM Registry (Minimum Information Requested in the Annotation of Biological Materials) is a database designed to provide a systematic way of annotating biological materials with standardized information. It aims to facilitate the sharing and understanding of biological data by providing unique identifiers and standardized annotations for various biological entities, including genes, proteins, organisms, and experimental conditions.

MitoMap is a comprehensive database and resource that focuses on human mitochondrial DNA (mtDNA) mutations and their association with various diseases, ancestry, and population genetics. It provides detailed information about specific mutations, including their effects on cellular functions, the frequency of these mutations in different populations, and their implications in mitochondrial disorders. Researchers and clinicians typically use MitoMap to study the roles of mitochondrial genetics in health and disease, track lineage and ancestry through maternal inheritance, and explore evolutionary relationships among different populations.

Multiple EM for Motif Elicitation (MEME) is a computational technique and tool used in bioinformatics to identify and characterize motifs in biological sequences, particularly DNA and protein sequences. It is part of a broader category of algorithms and methods designed to discover patterns or recurring sequences within biological data that may have functional or structural significance. ### Key Concepts: 1. **Motifs**: These are short, recurring patterns in biological sequences that are often associated with regulatory functions or specific structural features.

The Multiscale Electrophysiology Format (MEF) is a specialized data format designed to facilitate the storage, sharing, and analysis of electrophysiological data collected from biological systems at multiple scales. This format is particularly useful for researchers working in fields such as neuroscience and cardiology, where data can originate from cellular, tissue, and whole organism levels.

Perturb-seq is a high-throughput technique that combines genetic perturbations (such as CRISPR-based gene editing) with single-cell RNA sequencing to study gene function and cellular responses at a single-cell level. This method allows researchers to systematically investigate how perturbations in specific genes or regulatory elements affect gene expression, cellular behavior, and phenotypic traits.

A Position Weight Matrix (PWM) is a mathematical representation used to describe the binding preferences of a protein (often a transcription factor) for a specific DNA sequence. It is particularly useful in bioinformatics and molecular biology for analyzing DNA motifs.

Regulome refers to the regulatory elements of the genome that control gene expression. It encompasses various features such as promoters, enhancers, silencers, and other transcription factor binding sites that influence when, where, and how genes are expressed within an organism. The term is often used in the context of genomics and systems biology to highlight the complex interactions between regulatory DNA sequences and genes.

Sequence analysis is a bioinformatics method used to analyze biological sequences, such as DNA, RNA, or protein sequences. This process involves the comparison and interpretation of sequence data to understand biological functions, evolutionary relationships, genetic variations, and other aspects of molecular biology.

Statistical potential is a concept commonly used in the field of statistical mechanics and can also have applications in statistics and machine learning. However, its specific meaning may vary depending on the context in which it is considered. 1. **In Statistical Mechanics:** In statistical mechanics, the term "statistical potential" can refer to a mathematical formulation that describes the energy states of a system in a probabilistic manner.

The Swiss-Model is a widely used online server for homology modeling of protein structures. It's designed to predict the three-dimensional structures of proteins based on their amino acid sequences and known structures of similar proteins (templates). The server utilizes various algorithms and methods to generate models that can help researchers understand protein function, interactions, and mechanisms. Key features of Swiss-Model include: 1. **Homology Modeling**: It relies on the principle that proteins with similar sequences tend to have similar structures.

Systems immunology is an interdisciplinary field that integrates principles from immunology, systems biology, and computational modeling to understand the complex interactions within the immune system. It aims to analyze and characterize the immune response as a network of interactions among various components, such as cells, molecules, and pathways, rather than focusing on individual elements in isolation.

Translational research informatics is a field of study that focuses on the integration of data and information science with biomedical research to facilitate the translation of scientific discoveries into practical applications in healthcare. This discipline aims to bridge the gap between laboratory research (bench) and patient care (bedside) by utilizing informatics tools and methodologies to enhance the efficiency of the research process.