Examples of using Sequence data in English and their translations into Arabic
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It involves turning the sequence data back into physical material.
There have been advances in software and tools, including in the creation ofscreening tools that improve the ability to align sequence data to the organisms of origin.
But the sequence data leads to so many potential novelties in our understanding of their biological niche.
And when you find yourself in an article with sequence data, you will be able to click from that to go to UCSC.
Advances in design tools include the Archetype tool developed by SyntheticGenomics, which is a package for storing, managing and analyzing biological sequence data.
Lately it's been: I have a giant set of sequence data that I need to process to find new variants that might impact genes?
For example, in August 2005 the three largest repositories of gene sequence information contained 100 billion bases of sequence data from 165,000 organisms.
Experience of installing and working with Linux systems, analysing high-throughput sequence data and writing custom scripts is therefore highly desirable, although training can be provided.
Advances in design tools include the Archetype tool developed by Synthetic Genomics, which is a package for storing,managing and analyzing biological sequence data.
A tracking system would allow each genetic resource andits derivatives, such as sequence data, to be tracked from the point of origin through one or more users.
(2002) using mtDNA sequence data, concluding that Myxini is more closely related to Hyperoartia than to Gnathostomata- i.e., that modern jawless fishes form a clade called Cyclostomata.
In the 1990s,automated machines began to appear which allowed a technician to feed raw sequence data in at one end and receive short fragments of DNA from the other.
Modeling various features of whole cell activities, and developing suitable software to assess, test, predict, and visualize these aspects is going to be hugely important as we continue to movebeyond the important- but largely represented as linear- genome sequence data.
The GenBank database includes additional data sets that are constructed mechanically from the main sequence data collection, and therefore are excluded from this count.
It is however no longer adequate to share data through traditional modes of publication, and, particularly with high throughput(‘-omics) technologies, sharing of datasets requires submission to public databases as has long been the casewith nucleic acid and protein sequence data.
The GenBank database includes additional data sets that are constructed mechanically from the main sequence data collection, and therefore are excluded from this count.
Despite the issuance of standard protocols, systematic biases from lab to lab are expected. The need to amplify DNA from samples with low biomass will introduce additional distortions of the data. Assembly of genomes of even the dominant organisms in adiverse sample of organisms requires gigabytes of sequence data.
It's so undervalued, but it's only more andmore crucial now that we are getting so much sequence data and we need the best existing knowledge to help guide us through it.
Public databases which may be searched using the National Center for Biotechnology Information Basic Local Alignment Search Tool(NCBI BLAST), lack peer-reviewed sequences of type strains and sequences of non-type strains. On the other hand,while commercial databases potentially contain high-quality filtered sequence data, there are a limited number of reference sequences. .
But I did get to thinking, where would I go to browse and search the genomic sequence data for these 12 species( hey, I might want to recreate my work, though the Eickbush lab already has… and extended).
The idea is as follows: an organism(or part of an organism) is sequenced in one place,the sequenced data is transmitted electronically to a second location, and the sequence data is then used to recreate the organism.
Whole genome sequencing has largely been used as a research tool, but is currently being introduced to clinics.[3][4][5] In the future of personalized medicine,whole genome sequence data will be an important tool to guide therapeutic intervention.[6] The tool of gene sequencing at SNP level is also used to pinpoint functional variants from association studies and improve the knowledge available to researchers interested in evolutionary biology, and hence may lay the foundation for predicting disease susceptibility and drug response.
Thus, public genome resource collections can provide the physical materials andsource information that add value to the sequence data currently being made available through the electronic media.
Advances in bioinformatics and computational biology have greatly aided the gathering, processing and utility of biological data, including: the creation of new languages; advances in data mining; improvements in modelling and simulation, including the creation of whole-cell simulations; online tools and software for visualising complex biological information,analysing gene sequence data, protein analysis; as well as designing tools.
The platform is envisaged to consist of two connected components,the SARS-CoV-2 Data Hubs organising the flow of SARS-CoV-2 outbreak sequence data and providing comprehensive open data sharing for the European and global research communities, and one broader COVID-19 Portal.
There have been advances in sequencing technology including: success in overcoming problems that prevented the release of the MinION USB stick sequencers discussed in the 2012 review; the advent of tools for genome-wide detection of single-nucleotide and copy number variations in single human cells;improvements in compiling raw sequence data into complete genomes; and approaches for sequencing RNA directly.
What I want is a realization and appreciation by funding agencies, universities, and conference organizers alike of the importance andimpact of resource outreach on our ability to integrate sequence data into daily science and health- you gotta be able to understand it & analyze it to use it!
The project leverages the use of open standard systems andopen source software tools for the analysis of high throughput sequencing data.
The gene sequencing data of the isolated 2019-nCoV, a virus from the same family as the SARS coronavirus, was posted on Virological. org by researchers from Fudan University, Shanghai.
In this video that was part of a day oflectures at the NHGRI about how to deal with exome sequencing data: Next-Gen 101: Video Tutorial on Conducting Whole-Exome Sequencing Research.