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Scientific workflow
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The broad objective of research reported here was to develop a multi-publishing workflow for student atlases.
162p
runthenight05
01-03-2023
2
2
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Exploration of large data sets, such as shotgun metagenomic sequence or expression data, by biomedical experts and medical professionals remains as a major bottleneck in the scientific discovery process. Although tools for this purpose exist for 16S ribosomal RNA sequencing analysis, there is a growing but still insufficient number of user-friendly interactive visualization workflows for easy data exploration and figure generation. The development of such platforms for this purpose is necessary to accelerate and streamline microbiome laboratory research.
11p
vibeauty
23-10-2021
10
1
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Ongoing advancements in cloud computing provide novel opportunities in scientific computing, especially for distributed workflows. Modern web browsers can now be used as high-performance workstations for querying, processing, and visualizing genomics’ “Big Data” from sources like The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) without local software installation or configuration.
12p
vikentucky2711
26-11-2020
11
0
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Peptide-spectrum matching is a common step in most data processing workflows for mass spectrometry-based proteomics. Many algorithms and software packages, both free and commercial, have been developed to address this task.
13p
vikentucky2711
24-11-2020
9
1
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Workflows, or computational pipelines, consisting of collections of multiple linked tasks are becoming more and more popular in many scientific fields, including computational biology. For example, simulation studies, which are now a must for statistical validation of new bioinformatics methods and software, are frequently carried out using the available workflow platforms.
19p
vikentucky2711
24-11-2020
14
1
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The rapid pace of bioscience research makes it very challenging to track relevant articles in one’s area of interest. MEDLINE, a primary source for biomedical literature, offers access to more than 20 million citations with three-quarters of a million new ones added each year.
11p
vikentucky2711
24-11-2020
10
1
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Reproducibility is one of the tenets of the scientific method. Scientific experiments often comprise complex data flows, selection of adequate parameters, and analysis and visualization of intermediate and end results.
12p
vioklahoma2711
19-11-2020
9
2
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There has been an enormous expansion of use of chromatin immunoprecipitation followed by sequencing (ChIP-seq) technologies. Analysis of large-scale ChIP-seq datasets involves a complex series of steps and production of several specialized graphical outputs.
13p
vioklahoma2711
19-11-2020
15
1
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Computational bioinformatics workflows are extensively used to analyse genomics data, with different approaches available to support implementation and execution of these workflows. Reproducibility is one of the core principles for any scientific workflow and remains a challenge, which is not fully addressed.
14p
viflorida2711
30-10-2020
14
2
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In the rational drug design process, an ensemble of conformations obtained from a molecular dynamics simulation plays a crucial role in docking experiments. Some studies have found that Fully-Flexible Receptor (FFR) models predict realistic binding energy accurately and improve scoring to enhance selectiveness.
16p
viconnecticut2711
28-10-2020
17
0
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Bioinformaticians collaborating with life scientists need software that allows them to involve their collaborators in the process of data analysis. Results: We have developed a web application that allows researchers to publish and execute data analysis scripts.
8p
vicolorado2711
22-10-2020
12
1
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Thermo Scientific Molecular Biology products Abgene, thermo Scientific Molecular Biology Products Finnzymes, thermo Scientific Pierce Protein Biology Products, thermo Scientific Nunc & Nalgene, critical Environment, environmental Sample,... As the main contents of the document "ContainersLife Science Price List 2015-2016: Enhance your workflow quality, reliability, versatilyti". Invite you to consult
312p
hotrotaitailieu
30-03-2016
39
5
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Data Handling in Biology--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline. Written in a clear, engaging style, Large Scale Data Handling in Biology is for scientists and students who are learning computational approaches to biology. The book covers the data storage system, computational approaches to biological problems, an introduction to workflow systems, data mining, data visualization, and tips for tailoring existing data analysis software to individual research needs....
53p
tuanloc_do
04-12-2012
62
2
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