DBPR: DataBase of Plant Research

Databases of plant have been an integral part of modern biology. Enormous quantities of data are produced from plants and improving with time, many databases have been published with large amounts of data in various �elds, including proteomics, transcriptomics, genomics, and metabolomics. To make it easier, a comprehensive database is needed to sort and organized all these data to one platform and give an easy and friendly �nding way to plant research community, because, databases are a standard strategy for analyzing, storing, and processing such big data. Therefore, we have compiled 225 plant databases on a single platform and grouped them into 5 categories on the basis of various typescripts, such as the Protein, DNA, RNA, Pathway and Expression database, which can be indexed by clicking on the name of the category or by clicking on the picture expression or directly searching in the speci�ed search bar in the database. DBPR is a comprehensive plant resource database that is available on https://www.habdsk.org/dbpr.php . Computer platform such as PHP, HTML, CSS, and JavaScript has been used to build and will be updated timely.


Introduction
The fastest growing level of plant data sets over the past few decades is likely due to the application of next-generation sequencing as well as mass-spectrometry technologies to experimental model and plants research [1].The change in the volume and complexity of Omics (proteomics, transcriptomics, genomics, metabolomics) data creates challenges, mostly related to the collection, storage, and data sharing within the scienti c community [2].The increase in data collection is limiting the existing computational connectivity and formal bioinformatics algorithms, which have become insu cient to accommodate gigantic-data inputs and analyzes.Several major challenges, such as the collection, analysis, visualizing, and storage of data sets, need to be tackled by modifying existing structures and creating new tools and databases for fast and e cient processing of big data.Many articles have been published in well know journals [3][4][5][6] (Tab: 1), which have collected the databases of different organisms and research area, e.g."Biological databases for human research [7]" have collected 74 human databases which have been published in Genomics Proteomics & Bioinformatics (GPB), "Online Databases for Taxonomy and Identi cation of Pathogenic Fungi and Proposal for a Cloud-Based Dynamic Data Network Platform [8]" have collected 24 fungi databases and published in the journal of clinical microbiology, so that a well comprehensive plant database is also needed for the plant research community to sort and save all the plant data for future researchers, cause database of plants has been an integral part of modern biology.
Enormous quantities of data are produced from plants [9] [10] [11] [12], such as protein functions in particularly sequences, MPIM database [13], P3DB [14], plant RNA database and website incorporates knowledge from numerous independent computer-assisted reaches and databases such as "PsnoRNA database" [15], "PceRBase database" [16] and "CSRDB" [17], The Pathway database is a database of biochemical pathways for metabolic, signaling, reaction and control [18,19].eg, "MetaCrop" [12], "PLaMoMdb" [20] while plant DNA database have genomic details of different plants, such as PLAZA [21], "Planteome" [22], "AtGDB" [23], According to such huge research [24], we have collected and integrated 225 far more popular and accessible plant databases from the most recent published lectures and created a well-known plant database (DBPR) that will be a convenient and friendly forum for the scienti c community.Further, we have divided the plant database into ve categories: DNA, RNA, Protein, Expression, and Pathway databases, which have three forms of searching option, browse by name or image expression, or search by name in the search bar.According to the published databases research work, many databases have been noticed in the different research area [6], which have been provided the latest database in the form of table [3][4][5][6].Other hands, to make it's easier and clearer to plant researchers we have provided the plant databases table as well as database, which is highlighted in the (Tab: 1) and will be updated over time.

Result And Discussion
Construction and content of the DBPR In this work, we have used many keywords, such as plant database, a database of plant, biological databases, etc. in a variety of search engines, like PubMed, (https://pubmed.ncbi.nlm.nih.gov/)Google, ( https://www.google.com/ ) Google Scholar (https://scholar.google.com/ ) and have manually collected the plant database from published research work and journals such as NAR and database journals.
Computational platforms PhP, HTML, MySQL, CSS, and JavaScript have been used to delete all broken (dead) links, making a database and organize the data.Finally, have provided a comprehensive collection of plant databases to one platform named "DBPR" which can be friendly operate, have updated data and will update data in a timely manner (Fig: 1).

Classi cation of Plant databases
The numbers of databases are growing at a very high speed due to the ongoing research and technology in all the research elds [24], some of the omics databases are available on the "National Center for Biotechnology Information (NCBI) [9] in different research area.for more easy access we have collected Plant databases and divided them into many classes, which are given below.

Plant DNA database
Database of plant DNA is a database in which genomic details of different plants are available in various databases, such as "PLAZA" [21], "Planteome" [22], "AtGDB" [23], etc.It's tough to get the knowledge you need regarding plant genomes because reported research is scattered through a large range of publications and the majority are undisclosed, Database brings together information from smaller databases and literature [25].And we've compiled the strongest information on plant genomes to make the work simpler for the researcher.

Plant RNA database
The Plant RNA database and web-site incorporate knowledge from numerous independent computerassisted searches and databases such as "PsnoRNA database" [15], "PceRBase database" [16] and "CSRDB" [17], etc.The RNA database was used to classify different plant species, and such sequences are used in the database as alignments.The database ultimately establishes a unifying nomenclature for all other RNAs i.e Small nucleolar RNAs, processing and modi cation of other RNAs, such as ribosomal and small nuclear spliceosomal RNAs, SnoRNAs are a large family of relatively well characterized noncoding RNAs (ncRNAs) [26].

Plant protein database
Plant protein databases have become an important part of contemporary biology.For plant protein structures, functions, and especially sequences, enormous amounts of data are generated.In the study of a new protein, database queries are always the rst step.Comparison between proteins or between groups of proteins offers knowledge about the interaction between proteins inside or through genomes or across species, and therefore provides much greater knowledge than can be gained from researching a single protein alone [27].In a fact, there are also commonly accessible secondary sources originating from sample datasets.Such repositories restructure and annotate the data or offer predictions.Using several repositories can also help researchers consider a protein's structure and work, although certain plant protein databases are well recognized such as MPIM database [13], P3DB [14], etc. they are far from being completely used in the eld of protein sciences.our database gives readers a starting point for discovering the value of online plant protein repositories.

Plant expression database
Plant expression database is a publicly accessible co-expressed gene sets database that will be a powerful resource for a broad spectrum of experimental projects, including targeting genes for functional detection of regulatory work e.g, "SoyNet database" [28], "BarleyBase" [29].Here we report the construction of the Arabidopsis thaliana trans-factor and cis-element prediction database (ATTED-II) that provides coregulated, co-expressed gene relationships, On co-expressed genes resulting from microarray data and the cis elements expected [30].

Plant pathway database
The Plant Pathway database or Reactome database is a database of biochemical pathways for metabolic, signaling, reaction and regulation [19].Such as "MetaCrop" [31], "PathoPlant" [32], "PLaMoMdb" [20].These data bases also provide bioinformatics tools for the researchers to anticipate and analyze biological and biochemical pathways.Examples of biological pathways in Reactome include classical intermediary metabolism, signaling, transcriptional regulation, apoptosis and disease.The plant pathways databases accommodate the distinct type of reactions that is available for computational analysis.

Statistics of the DBPR
With the rapid growth of plant databases, we tried to gather all online plant databases to one database and give easy access to all plant researchers, therefore, we have provided access to 225 redundant databases (Tab-S1).We have collected all category-wide and year-wise database and have classi ed into

Usages of the DBPR Database
To provide useful and updated plant research the DBPR is developed in an easy and friendly searching way.For fast search our database gives 3 options to accesses the data, user can direct click on the categories name or by the image expression icon (Fig. 3A), which will give all the category databases on single click (Fig. 3B), on further clicking user can get their needed information.For searching single database user can type the name of the required database in the navigation bar, which is on the top of the database (Fig. 3C), we have highlighted MMP database as an example.

Conclusion
Plant Databases have been a standard way of sorting and analyzing vast volumes of knowledge in various elds of plant research, on government and private sectors.Many plant databases have been published in different research areas which have their own scope and value, according to that published work we have collected all plant databases to one platform and provided an easy way to the plant science community.All the plant databases are divided into 5 categories according to their external and internal function, each and every class has its own databases, such as DNA databases, RNA database, Protein database, pathway database, and Expression database.To avoid wasting time we have provided a list as well as a database of the databases named DBPR, which can be searched in 3 ways, rst users can search by clicking the name of the category, image expression, or can directly type the name of the needed database in the search bar which is on the top of the navigation bar.Computer programs, PHP, HTML, MySQL JavaScript, and CSS have been used to build DBPR and will be updated timely.

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categories which shown in the Fig-2A.further, the category-wise growth of the plant databases shows the big difference of each and every category from the last decade of the plant research Fig-2B.while the year-wise growth gives clear gures of the improvement of plant database research with the passage of time Fig: 2C.