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60 results for “Cost efficiency”

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geo24/100

Efficient and cost-effective bacterial mRNA sequencing from low input samples through ribosomal RNA depletion

GEO Series GSE149666. Escherichia coli str. K-12 substr. MG1655. 28 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2020View details →
geo24/100

3’Pool-seq: an optimized cost-efficient and scalable method of whole-transcriptome gene expression profiling (Run0004)

GEO Series GSE125567. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2019View details →
geo24/100

Automated generation of hiPSC-derived hepatic progeny by cost-efficient compounds

GEO Series GSE207569. Homo sapiens. 49 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2024View details →
geo24/100

Digestion-ligation-only Hi-C is an efficient and cost-effective method for chromosome conformation capture

GEO Series GSE89663. Homo sapiens. 6 samples. Type: Other.

openGEO-OpenFeb 2018View details →
zenodo24/100

A brain-inspired architecture for cost-efficient object recognition in shallow neural networks

<p>Demo codes for &quot;A brain-inspired architecture for cost-efficient object recognition in shallow neural networks&quot;</p> <p><strong>1. System requirements</strong><br> - MATLAB (2019a or 2019b is recommended.)</p> <p>- Installation of Deep Learning Toolbox</p> <p>- Uploaded codes were tested using MATLAB 2019a and 2019b.</p> <p>- No non-standard hardware is required to run the codes.</p> <p><br> <strong>2. Installation guide</strong><br> - Download &quot;LRC_code.zip&quot; and unzip the file.</p> <p>- Download &quot;DATASET_ori.zip&quot;,&quot;pretrainedNet.zip&quot; and unzip on same file.</p> <p>- Choose the proper subfolder of &#39;fun_modifed_toolbox&#39; which is matched to your MATLAB version and<br> &nbsp; Move each file&nbsp;to the proper directory<br> &nbsp; (see the comment in line 4 of each file for proper directory &nbsp;e.g. &#39;dir = C:\Program Files\MATLAB\...&#39;)<br> &nbsp;</p> <p><strong>3. Instructions for use</strong><br> - By running &quot;Main.m&quot; and selecting code option and figure option (see line 35 - 41 on the Main.m)<br> &nbsp; code options :<br> &nbsp; &nbsp;i) flg_ShowRes : Show the result figure of demo code using the pretrained network (in pretrainedNet.zip)<br> &nbsp; &nbsp;ii) flg_Demo : Run the demo code using a randomly initialized network<br> &nbsp; figure options : flg1 - Result 1 / flg2 - Result 2 / flg3 - Result 3&nbsp;</p> <p>&nbsp;</p> <p><strong>cf. Modified MNIST datasets</strong></p> <p>To separately examine the contribution of high and low-frequency information contained in sample images, we designed three types of modified MNIST datasets.&nbsp;Details are as follows:</p> <p><strong>Type 1</strong><em>: shape</em>. The &ldquo;<em>shape</em>&rdquo; dataset was designed by arranging a hand-written digit of 8 x 8 pixels in the center of a 28 x 28 pixels image. The dataset consists of eight categories depending on the number in the center (1 to 8). For this dataset, only local information (shape) of the digits is required for classification.</p> <p><br> <strong>Type 2</strong>: <em>position</em>. The &ldquo;<em>position</em>&rdquo; dataset was made by the following procedure. First, two digits of 8 x 8 pixels were randomly chosen. Second, these two digits were allocated in a 28 x 28 image, with one of the following position alignments: horizontal (top, middle, bottom), vertical (left, middle, right), or diagonal (45&deg;, 135&deg;). This dataset also consists of eight categories depending on the position only where the digits are located. Note that the shape of each number is irrelevant for classification.</p> <p><br> <strong>Type 3</strong>: <em>shape-position</em>. The &ldquo;<em>shape-position</em>&rdquo; dataset was made by the following procedure. First, a 28 x 28 pixel area was divided into four 14 x 14 areas. Second, two diagonally aligned areas were selected (either 45&deg; or 135&deg;). Third, one of two digits, either &ldquo;7&rdquo; or &ldquo;9&rdquo;, composed of 8 x 8 pixels was inserted into each selected area. This dataset consists of eight categories depending on both the shape and position of the digits. The reason we chose &ldquo;7&rdquo; and &ldquo;9&rdquo; among ten numbers is to adjust the difficulty of the task to be similar to that of the previous tasks. Note that this dataset requires both local information (shape) and global information (position) of the digits for classification.&nbsp;</p>

opencc-by-4.0Feb 2020View details →
dryad24/100

Data from: Can maternally inherited endosymbionts adapt to a novel host? Direct costs of Spiroplasma infection, but not vertical transmission efficiency, evolve rapidly after horizontal transfer into D. melanogaster

Maternally inherited symbionts are common in arthropods and many have important roles in host adaptation. The observation that specific symbiont lineages infect distantly related host species implies new interactions are commonly established by lateral transfer events. However, studies have shown that symbionts often perform poorly in novel hosts. We hypothesized selection on the symbiont may be sufficiently rapid that poor performance in a novel host environment is rapidly ameliorated, permitting symbiont maintenance. Here, we test this prediction for a Spiroplasma strain transinfected into the novel host Drosophila melanogaster. In the generations immediately following transinfection, the symbiont had low transmission efficiency to offspring and imposed severe fitness costs on its host. We observed that effects on host fitness evolved rapidly, being undetectable after 17 generations in the novel host, whereas vertical transmission efficiency was poorly responsive over this period. Our results suggest that long-term symbiosis may more readily be established in cases where symbionts perform poorly in just one aspect of symbiosis.

opencc-zeroDec 2013View details →
dryad24/100

Data from: Scaling up DNA barcoding - primer sets for simple and cost efficient arthropod systematics by multiplex PCR and Illumina amplicon sequencing

1. The simplicity and cost efficiency of Illumina amplicon sequencing has greatly contributed to the advancement of DNA barcoding and metabarcoding applications. However, current amplicon sequencing based barcoding approaches are usually restricted to short, single-locus fragments, limiting their taxonomic and phylogenetic resolution. 2. Here, we establish a cost efficient and simple multiplex PCR protocol for arthropod systematics by Illumina amplicon sequencing. We introduce primer sets, including several new, generic primers, to reliably amplify nine loci across a wide range of arthropods. Using a diverse collection of arthropod species from 19 orders, we test loci for amplification efficiency and estimate the effect of cross-species amplification bias on taxon recovery from bulk community samples. We then explore the taxonomic and phylogenetic utility of the primer sets, focusing on a dataset of spiders that includes both deep and recent divergences. 3. The set of loci provides good phylogenetic support across a wide taxonomic spectrum, making it a useful addition to COI for resolving lineages within a comparative context. All loci recover sequences for the majority of arthropod taxa in separate PCRs. However, cross-species amplification bias in some primers prevents an exhaustive taxon recovery from bulk community samples. 4. Our protocol makes it possible to generate multilocus datasets for large numbers of arthropod taxa for a fraction of the price and workload of Sanger sequencing. This opens up the possibility for parallel phylogenetic and taxonomic analysis of large collections of arthropods, but also enables rapid exploratory analyses of target lineages. Primers for metabarcoding applications should be carefully evaluated for their performance in bulk community samples and chosen to minimize cross-species amplification bias.

opencc-zeroDec 2017View details →
ClinicalTrials.gov24/100

Costs, Effectiveness, QALYs, and Efficiency of Bioabsorbable Devices in Daily Clinical Practice

ClinicalTrials.gov study NCT02854007. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Triple Combination Therapy of Choroidal Neovascularization in AMD, a Cost Effect and Efficient Therapeutic Treatment

ClinicalTrials.gov study NCT02287298. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Observational Study of Analgesia and Cost-efficiency of Analgetic Medication Pumps (Zalviso and PCA-syringe Pump (PCA=Patient Controlled Analgesia)) After Urogenital Intervention at the Clinical Daily

ClinicalTrials.gov study NCT03355352. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Quality of Life of the Piloted Individuals and a Cost-efficiency Analysis

ClinicalTrials.gov study NCT06628856. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
dryad24/100

Data from: Can maternally inherited endosymbionts adapt to a novel host? Direct costs of Spiroplasma infection, but not vertical transmission efficiency, evolve rapidly after horizontal transfer into D. melanogaster

Open the record for dataset details and reuse information.

publicOct 2014View details →
dryad24/100

Data from: Scaling up DNA barcoding - primer sets for simple and cost efficient arthropod systematics by multiplex PCR and Illumina amplicon sequencing

Open the record for dataset details and reuse information.

publicJul 2019View details →
geo24/100

CUT&Tag-BS: an efficient and low-cost method for simultaneous profiling of histone modification and DNA methylation

GEO Series GSE179266. Mus musculus. 11 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.

openGEO-OpenOct 2021View details →
geo20/100

3’Pool-seq: an optimized cost-efficient and scalable method of whole-transcriptome gene expression profiling

GEO Series GSE125571. Homo sapiens; Mus musculus. 142 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2019View details →
geo20/100

An Efficient and Cost-Effective Approach to Generate Functional Human Inducible Pluripotent Stem Cell-Derived Astrocytes

GEO Series GSE252393. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2025View details →
zenodo20/100

When Should I Build? A Collection of Cost-efficient Approaches to Running Builds in Continuous Integration.

<p>Replication package.</p>

opencc-by-4.0May 2019View details →
ClinicalTrials.gov20/100

Effectiveness and Cost-Efficiency of Aquatic Exercise for Management of Osteoarthritis

ClinicalTrials.gov study NCT00653497. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo16/100

A scalable and cost-efficient rRNA depletion approach to enrich RNAs for molecular biology investigations

GEO Series GSE261768. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2024View details →
geo16/100

Well-ST-seq: cost-effective and cellular level spatial transcriptomics with high RNA capture efficiency

GEO Series GSE247834. Mus musculus. 12 samples. Type: Other.

openGEO-OpenMay 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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