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699 results for “TB”
PEATCLSM(Tb): A land surface data assimilation product for peatlands using PEATCLSM and brightness temperature (Tb) satellite observations (Northern Hemisphere output)
<p>The datasets archived here include simulation results shown in the paper, “Improved Groundwater Table and L-band Brightness Temperature Estimates for Northern Hemisphere Peatlands Using New Model Physics and SMOS Observations in a Global Data Assimilation Framework”, published in Remote Sensing of Environment Journal (Bechtold et al., 2020). The output was produced by combining peatland-specific land surface modeling (Bechtold et al., 2019b) embedded in the NASA Catchment Land Surface Model (CLSM) with L-band brightness temperature (Tb) observations (SMOS), applying the data assimilation framework of the SMAP Level‐4 Soil Moisture product (Reichle et al., 2019). We provide netcdf files (9-km resolution EASEv2 grid, period Jan 2010 – Nov 2019, and between 45°N and 70°N, NE Asia excluded) of the four experiments of the manuscript: model-only (open-loop, OL) and data assimilation (DA) for each land model version, that is CLSM without and with the use of the PEATCLSM modules. The highest accuracy is provided by the DA product using PEATCLSM and Tb observations. When referring to the latter product use the name ‘PEATCLSM(Tb)’. We provide three types of netcdf files:<br> • daily_images_*.nc: Daily land states and fluxes (Table 1), provided as netCDF image-chunked image stack<br> • ObsFcstAna_images_*.nc: Brightness temperature observations, forecasts and analysis (Table 2), provided as netCDF image-chunked image stack<br> • incr_timeseries_*.nc: Data assimilation increments (Table 3), provided as netCDF timeseries-chunked image stack</p> <p>The file content is described in the file PEATCLSM_Tb_Documentation_20200505.pdf</p> <p>Please contact Michel Bechtold (michel.bechtold@kuleuven.be) for any questions.</p> <p>Data usage statement:<br> This work is licensed under a Creative Commons Attribution 4.0 International License: https://creativecommons.org/licenses/by/4.0/<br> If you decide to work with this data, we kindly ask to be informed at the outset of the nature of this work. If the data are essential to the work, or if an important result or conclusion depends on the PEATCLSM(Tb) data product, we would appreciate that you discuss these findings with us to ensure correct use and interpretation of the PEATCLSM(Tb) product. Furthermore, we are continuously improving the data assimilation product, a discussion of your work at an early stage may (i) help us to improve our product, and (ii) allow us to provide you with a newer version. Thanks!</p> <p>References:</p> <p>Bechtold, M., De Lannoy, G. J. M., Reichle, R. H., & Koster, R. D. (2019a). PEAT-CLSM simulation output (Northern Peatlands) version 1. https://doi.org/10.17605/OSF.IO/E58YM</p> <p>Bechtold, M. et al. (2019b). PEAT‐CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model. <em>Journal of Advances in Modeling Earth Systems</em>, <em>11</em>(7), 2130–2162. https://doi.org/10.1029/2018MS001574</p> <p>Bechtold, M., De Lannoy, G. J. M., Reichle, R. H., Roose, D., Balliston, N., Burdun, I., Devito, K., Kurbatova, J., Strack, M., & Zarov, E. A. (2020). Improved Groundwater Table and L-band Brightness Temperature Estimates for Northern Hemisphere Peatlands Using New Model Physics and SMOS Observations in a Global Data Assimilation Framework. <em>Remote Sensing of Environment</em>. https://doi.org/10.1016/j.rse.2020.111805</p> <p>Reichle, R. H., Liu, Q., Koster, R. D., Crow, W. T., De Lannoy, G. J. M., Kimball, J. S., Ardizzone, J. V., Bosch, D., Colliander, A., Cosh, M., Kolassa, J., Mahanama, S. P., Prueger, J., Starks, P., & Walker, J. P. (2019). Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product. <em>Journal of Advances in Modeling Earth Systems</em>, <em>11</em>(10), 3106–3130. https://doi.org/10.1029/2019MS001729</p>
SMA-TB Clinical trial: video & electronic informed consent
<p>The first SMA-TB video has been produced aiming a better understanding of SMA-TB Randomized Clinical Trial (RCT) objectives and procedures. This RCT is work package 1 of SMA-TB project. It is entitled <em>"Phase 2b Randomized double-blind, placebo controlled trial to estimate the potential efficacy and safety of two repurposed drugs, acetylsalicylic acid and ibuprofen, for use as adjunct therapy added to, and compared with, the standard WHO recommended TB regimen (SMA-TB)”, </em>and is registered in ClinicalTrials.gov data under identifier NCT04575519</p> <p>This video has been conceptualized as an e-informed consent for TB patients aiming their participation in SMA-TB CTs in Georgia and South Africa, as well as for anyone wanting to learn about the SMA-TB CT. The video explains in a very comprehensive way the rationale of SMA-TB concept, how the CT will be performed, what is expected from the patient, which are potential benefits, as well as side effects. The message is produced both in English and in Georgian.</p>
MDR-TB SIT41_MIRU-VNTR genotyping dataset
<p>The table represents spoligo- and 24 loci MIRU-VNTR genotypes of MDR Mycobacterium tuberculosis strains from Bulgaria </p>
PyFLEXTRKR Global MCS Tracking Dataset using GPM MergedIR Tb and IMERG precipitation data
<p>This is the global mesoscale convective system (MCS) tracking dataset developed by <a href="https://doi.org/10.1029/2020JD034202">Feng et al. (2021) JGR</a>. It contains the MCS track data (location, time, lifecycle evolution of MCS cloud and precipitation characteristics), monthly mean and 20-year climatological MCS statistics on 0.1 degree x 0.1 degree (lat x lon) grid. All data files are in netCDF format.</p><p>The periods are from June 2000 to December 2020. The geographic coverage is 180°W-180°E, 60°S-60°N. For more detailed documentations, please refer to the README "PyFLEXTRKR_MCS_Tracking_Data_Readme.pdf".</p><p>Due to the large file size of the native 1-hourly resolution pixel-level data on the 0.1 degree x 0.1 degree grid, they are not included in this dataset. Please contact Zhe Feng (<a href="mailto:zhe.feng@pnnl.gov">zhe.feng@pnnl.gov</a>) if you are interested in obtaining the pixel-level data.</p>
COMBAT TB Tuberculosis genome annotation database
<p>A Neo4j (version 2.3.3) format graph database containing annotation related to the M. tuberculosis H37Rv genome, created as part of the COMBAT TB project at the South African National Bioinformatics Institute.</p>
Origin of ion bombardment induced Tb oxidation in Tb/Co multilayers
<p>It has previously been shown that ion bombardment can used to selectively reduce the contribution of the rare earth sublattice in rare earth/transition metal ferrimagnets by selective oxidation. However, the exact mechanism by which oxidation occurs remains an outstanding question. Using this dataset, we show that the point defects introduced by ion bombardment of Tb/Co multilayers using different ion species with projected range (i.e., 10 keV He+, 15 keV O+, and 30 keV Ga+) create easy diffusion paths for oxygen to penetrate the system. </p> <p><br>This dataset includes:<br>Magneto-optic measurements using P-MOKE magnetometer and Kerr effect microscope<br>Secondary ion mass spectrometry (SIMS) depth profiles<br>In-situ resistance measurements</p> <p>Input files for TRIDYN simulations<br>Results from TRIDYN simulations</p> <p><br>This work was supported by National Science Centre Poland under OPUS funding Grant No. 2020/39/B/ST5/01915 at the Institute of Molecular Physics of the Polish Academy of Sciences.</p>
(Cot)Tb(Cnt)
<p>This contains the dataset for (Cot)Tb(Cnt)</p>
SMA TB Clinical trial - Soweto site - Short story
<p>In this video a nurse from SMA-TB clinical trial research team from South Africa shows one working day from Soweto, Baragwanath Hospital. She also gives insight about challenges of running a clinical trial during the COVID-19 pandemic. </p> <p>SMA-TB project has received funding from the European Union's Horizon 2020 research and innovation programme under grant ageement No 847762.</p>
SMA-TB Clinical trial research team's thoughts and opinions
<p>In this video SMA-TB Clinical trial research team members from Georgia and South Africa share their thoughts and opinions regarding the SMA-TB project and its impact both at scientific and personal level. </p> <p>SMA-TB team comprises of doctors, nurses, laboratory technicians and administrative. This video gives opportunity to look at and think of SMA-TB project from different perspectives. </p> <p>SMA-TB project has received funding from the European Union's Horizon 2020 research and innovation programme under grant ageement No 847762</p>
Caregivers and MDR-TB patients: Dataset for the importance of knowledge and behavior on drug resistance tuberculosis
<p>Multidrug-resistant Tuberculosis (MDR-TB) is a type of Tuberculosis (TB) that is resistant to at least one or more of the main anti-TB drugs, namely Rifampin or Isoniazid, so this infection is more difficult to eliminate. Good knowledge and behavior of caregivers and patients can affect the success of treatment because they tend not to be late in taking treatment. In this data note we provide the details of a research database of 228 MDR-TB caregivers and patients underwent treatment from January 2020 to December 2021 in preferred hospital in West Java, Indonesia. The purposes of this publication are to describe the dataset for external researchers who may be interested in making use of it, and to detail the methods used to obtain the dataset to determine the level of knowledge and behavior of MDR-TB caregivers and patients regarding the disease through a validated questionnaire consisted of the knowledge and behavior distributed to respondents via online and offline.</p>
→ Fig. 9. Antiarchan fish Bothriolepis leptocheira jeremejevi (Rohon, 1900), Sosnogorsk locality, Sosnogorsk Formation, lowermost Famennian, anterior median dorsal (A–G) and posterior median dorsal (H–M) plates of the trunk armour. A. IG KSC 155/5 in dorsal (A1) and visceral (A2) views. B. IG KSC 155/108 in dorsal (B1) and visceral (B2) views. C. IG KSC 155/97 in dorsal view. D. IG KSC 155/113 in dorsal (D1) and visceral (D2) views. E. IG KSC 155/140 in dorsal (E1) and visceral (E2) views. F. Impression of the dorsal surface of IG KSC 155/42. G. IG KSC 155/44 in dorsal view. H. Fragment of IG KSC 155/7 in dorsal view. I. IG KSC 155/1 in dorsal (I1) and visceral (I2) views. J. IG KSC 155/71 in dorsal view. K. Slightly deformed IG KSC 155/70 in dorsal (K1) and visceral (K2) views. L. IG KSC 155/158 in dorsal view. M. IG KSC 155/157 in dorsal (M1) and visceral (M2) views. Abbreviations: ADL, anterior dorso-lateral plate; alr, postlevator thickening; AMD, anterior median dorsal plate; cf.ADL, cf.AMD, and cf.MxL, area overlapping ADL, AMD or MxL respectively; cr.tp, posterior transversal internal crest; dlg1 and dlg2, anterior and posterior oblique dorsal sensory line groove; dma, tergal angle; dmr, dorsal median ridge; f.retr, levator fossa; grm, ventral median groove; l, lateral corner; mvr, median ventral ridge; MxL, mixilateral plate; npn, postnuchal notch; oa.ADL, oa.MxL and oa.PMD, area overlapped by ADL, MxL or PMD respectively; pa, posterior corner; pma, posterior marginal area; PMD, posterior median dorsal plate; pr.p, posterior process of AMD; pr.pl, external postlevator process; prv2, posterior ventral process of dorsal wall of trunk armour; pt1 and pt2, anterior and posterior ventral pit; pua, posterior unornamented area of PMD; rf, "round fossula"; sna, supranuchal area; tb, ventral tuberosity. in A new assessment of the Late Devonian antiarchan fish Bothriolepis leptocheira from South Timan (Russia) and the biotic crisis near the Frasnian-Famennian boundary
→ Fig. 9. Antiarchan fish Bothriolepis leptocheira jeremejevi (Rohon, 1900), Sosnogorsk locality, Sosnogorsk Formation, lowermost Famennian, anterior median dorsal (A–G) and posterior median dorsal (H–M) plates of the trunk armour. A. IG KSC 155/5 in dorsal (A1) and visceral (A2) views. B. IG KSC 155/108 in dorsal (B1) and visceral (B2) views. C. IG KSC 155/97 in dorsal view. D. IG KSC 155/113 in dorsal (D1) and visceral (D2) views. E. IG KSC 155/140 in dorsal (E1) and visceral (E2) views. F. Impression of the dorsal surface of IG KSC 155/42. G. IG KSC 155/44 in dorsal view. H. Fragment of IG KSC 155/7 in dorsal view. I. IG KSC 155/1 in dorsal (I1) and visceral (I2) views. J. IG KSC 155/71 in dorsal view. K. Slightly deformed IG KSC 155/70 in dorsal (K1) and visceral (K2) views. L. IG KSC 155/158 in dorsal view. M. IG KSC 155/157 in dorsal (M1) and visceral (M2) views. Abbreviations: ADL, anterior dorso-lateral plate; alr, postlevator thickening; AMD, anterior median dorsal plate; cf.ADL, cf.AMD, and cf.MxL, area overlapping ADL, AMD or MxL respectively; cr.tp, posterior transversal internal crest; dlg1 and dlg2, anterior and posterior oblique dorsal sensory line groove; dma, tergal angle; dmr, dorsal median ridge; f.retr, levator fossa; grm, ventral median groove; l, lateral corner; mvr, median ventral ridge; MxL, mixilateral plate; npn, postnuchal notch; oa.ADL, oa.MxL and oa.PMD, area overlapped by ADL, MxL or PMD respectively; pa, posterior corner; pma, posterior marginal area; PMD, posterior median dorsal plate; pr.p, posterior process of AMD; pr.pl, external postlevator process; prv2, posterior ventral process of dorsal wall of trunk armour; pt1 and pt2, anterior and posterior ventral pit; pua, posterior unornamented area of PMD; rf, "round fossula"; sna, supranuchal area; tb, ventral tuberosity.
Combat-TB-NeoDB: fostering Tuberculosis research through integrative analysis using graph database technologies.
<p>NeoDB is a free and open source integrated M.tuberculosis ‘omics’ knowledge-base. NeoDB is based on Neo4j and enables researchers to execute complex federated queries by linking well-known, curated and widely used biological data resources, and supplementary TB variants data from published literature.</p> <p>Documentation can be found at https://combat-tb-db.readthedocs.io</p>
Linked collectors and determiners for: TB Lee Herbarium Vascular Plant Collection Phase II.
Natural history specimen data linked to collectors and determiners held within, "TB Lee Herbarium Vascular Plant Collection Phase II". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6258c1c8-b27e-4497-8079-ac084029b81b">https://bionomia.net/dataset/6258c1c8-b27e-4497-8079-ac084029b81b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6258c1c8-b27e-4497-8079-ac084029b81b">https://gbif.org/dataset/6258c1c8-b27e-4497-8079-ac084029b81b</a>. Formatted as a Frictionless Data package.
ANALYSIS OF QUALITY OF LIFE AND COMPLIANCE LEVEL OF PULMONARY TB PATIENTS AND BODY MASS INDEX IN POST-TRANSFERENCE TREATMENT ANTI TUBERCULOSIS IN HOSPITAL dr. M HAULUSSY AMBON
<p>Tuberculosis is the most common multi-systemic infection, with various types of manifestation and clinical description, lung is the most common location for developing tuberculosis disease (WHO, 2018). As many as 58% of cases of pulmonary TB occur in 3 (three) countries such as Southeast Asia. Based on profile Service Health Maluku Province, in 2021 number of invention Pulmonary TB cases Service Health (Health Office) of Maluku Province to end in 2019 it reached 6,379 people or by 0.35 percent of total population in the province the largest as 1.8 million people.This research uses a quantitative observational design with a cross sectional approach. With sample use systematic type Purposive sampling of 83 respondents. Data analysis using linear regression. Results test statistics show the most influential variable to level pulmonary tuberculosis treatment is a level indicator compliance with level significance sig 0.000. Based on the results of the Multiple Linear Regression analysis, it shows that with a p-value of 0.00 0 < 0.05, H 1 is accepted, so it is concluded that there is a simultaneous influence quality of life as well as the level of compliance of TB lung sufferers And body mass index on post treatment tb lung at DR M Haulussy Ambon Regional Hospital.</p>
Study to Evaluate H56:IC31 in Preventing Rate of TB Recurrence
ClinicalTrials.gov study NCT03512249. IPD Sharing: UNDECIDED. Countries: 2. Publications: 1.
Snowmelt lysimeter chemistry data from Soddie, Subnivean, Saddle and TB site, 1993 - 2013.
Snowmelt lysimeters were located at the soddie and subnivean sites on Niwot Ridge from 1993 to 2013, with the larger array located at the soddie site. The soddie lysimeter array is a collection of 105 snowmelt lysimeters that collect discharge measurements at the base of the snowpack. Each lysimeter is a polyethylene pan with 22 cm high vertical walls and 47 cm by 39.5 cm in horizontal extent resulting in a footprint area of ~1,850 cm2. The height of the lysimeter walls prevent both the loss of water out of the lysimeters and the influx of water from saturated zones along the snow-soil interface [Kattelmann, 2000]. Many lysimeters were functional at the soddie site during spring snowmelt (April through July) for water years 1993 through 2013. The 1998 water year had only 36 lysimeters installed. From 1999 through 2001, the array was organized as a two meter grid nested within a four meter grid. In the 2002 water year, 15 of lysimeters on the perimeter were relocated to increase the density of the inner grid. Lysimeters were moved from locations of low snow accumulation on the eastern edge and a region that collects debris during melt on the western edge. By 2010 the number of snowmelt lysimeters at the soddie was reduced to 6. Meltwater collected by the lysimeters flowed to an underground laboratory through flexible PVC piping into Rainwise Rainew Tipping Bucket Rain Gauges. 250ml sample bottles were placed above the tipping buckets at some locations to collect snowmelt from the lysimeters for chemical analysis. Samples were collected once to twice daily depending on snowmelt rates. Upon sample collection some of the snowmelt sample collected in the 250ml bottle was poured off into a 30ml glass bottle for oxygen isotope analysis. Snowmelt samples were collected and analyzed for cations and anions at the Mountain Research Station's Kiowa Laboratory previously, and INSTAAR's Arikaree lab currently.
Data from: Impact of involvement of non-formal health providers on TB case notification among migrant slum-dwelling populations in Odisha, India
Background: Migrant labourers living in the slums of urban and industrial patches across India make up a key sub-population so far controlling Tuberculosis (TB) in the country is concerned. This is because many TB patients from these communities remain under reached by the Revised National Tuberculosis Control Programme (RNTCP) of India. This marginalized community usually seeks early-stage healthcare from "friendly neighbourhood" non-formal health providers (NFHPs). Because, RNTCP has limited capacity to involve the NFHPs, an implementation research project was conceived, whereby an external partner would engage with the NFHPs to enable them to identify early TB symptomatics from this key sub-population who would be then tested using Xpert MTB/RIF technology. Diagnosed TB cases among them would be referred promptly to RNTCP for treatment. This paper aimed to describe the project and its impact. Methods: Adopting a quasi-experimental before-after design, four RNTCP units from two major urban-industrial areas of Odisha were selected for intervention, which spanned five quarters and covered 151,400 people, of which 30% were slum-dwelling migrants. Two similar units comprised the control population. The hypothesis was, reaching the under reached in the intervention area through NFHPs would increase TB notification from these traditionally under-notifying units. RNTCP notification data during intervention was compared with pre-intervention era, adjusted for contemporaneous changes in control population. Results: The project detected 488 Xpert+ TB cases, of whom 466 were administered RNTCP treatment. This translated into notification of additional 198 new bacteriologically positive cases to RNTCP, a 30% notification surge, after adjustment for 2% decline in control. This meant an average quarterly increase in notification of 41.20(20.08, 62.31; p<0.001) cases. The increase was immediate, evident from the rise in level in the time series analysis by 50.42(10.28, 90.55; p=0.02) cases. Conclusion: Engagement with NFHPs contributed to an increase in TB notification to RNTCP from key under reached, slum-dwelling migrant populations.
COMBAT TB Tuberculosis genome annotation database
<p>This is a Neo4j format *M. tuberculosis* reference annotation database. To view it you need a Neo4j (v 2.3) instance. There is a script (<strong>run_db.sh</strong>) that will start a Neo4j instance for you based on this data, using docker. Run that (<strong>bash run_db.sh</strong>) and connect to http://localhost:7474.</p> <p>The database was created by the COMBAT TB project (http://christoffels.sanbi.ac.za/index.php/projects/combat-tb) at the South African National Bioinformatics Institute (SANBI).<br /> <br /> Authors: Thoba Lose, Peter van Heusden, Ziphozakhe Mashologu, Alan Christoffels .</p> <p>The COMBAT TB project is funded by the South African Medical Research Council (MRC) and was supported by the South African<br /> Research Chairs Initiative of the Department of Science and Technology and National Research Foundation of South Africa.</p>
Iterative evaluation of mobile computer-assisted digital chest x-ray screening for TB improves efficiency, yield, and outcomes in Nigeria
<p>Wellness on Wheels (WoW) is a model of mobile systematic tuberculosis (TB) screening of high-risk populations combining digital chest radiography with computer-aided automated detection (CAD) and chronic cough screening to identify presumptive TB clients in communities, health facilities, and prisons in Nigeria. The model evolves to address technical, political, and sustainability challenges.</p> <p>Screening methods were iteratively refined to balance TB yield and feasibility across heterogeneous populations. Performance metrics were compared over time. Screening volumes, risk mix, number needed to screen (NNS), number needed to test (NNT), sample loss, TB treatment initiation and outcomes. Efforts to mitigate losses along the diagnostic cascade were tracked. Participants with high likelihood on CAD4TB (≥80) who tested negative on a single spot GeneXpert were followed-up to assess TB status at six months.</p> <p>An experimental calibration method achieved a viable CAD threshold for testing. High-risk groups and key stakeholders were engaged. Operations evolved in real-time to fix problems. Incremental improvements in mean client volumes (128 to 140/day), target group inclusion (92% to 93%), on-site testing (84% to 86%), TB treatment initiation (87% to 91%), and TB treatment success (71% to 85%). Attention to those as highest risk boosted efficiency (the NNT declined from 8.2 ± SD8.2 to 7.6 ± SD7.7). Clinical diagnosis was added after follow-up among those with ≥ 80 CAD scores initially spot-sputum negative found 11 additional TB cases (6.3%) after 121 person-years of follow-up.</p> <p>Iterative adaptation in response to performance metrics foster feasible, acceptable, and efficient TB case-finding in Nigeria. High CAD scores can identify subclinical TB and those at risk of progression to bacteriologically-confirmed TB disease in the near term.</p> <p>Policy makers, donors, and community advocates are hesitant to invest in the steep infrastructure costs for mobile digital chest x-ray and GeneXpert MTB/RIF (dCXR/GXP) laboratories without a better understanding of how to maximize and sustain their impact. It is rarely possible to conduct the months of local CAD calibration recommended by experts via costly universal testing with a reference standard.4,9 Stakeholder needs and resource limitations require a more rapid and cost-conscious means of setting a sustainable algorithm. Viable, field-robust methodologies are needed, and optimization strategies informed by routine field findings were lacking. A precise assessment of the contribution of routine mobile TB screening has been challenging because few authors fully disaggregate losses along the diagnostic cascade or track TB treatment outcomes. Publication bias has limited access to results of active case finding pilots with suboptimal risk group targeting, community engagement, yield, or treatment outcomes.10–14 Evaluations (and scrutiny) of routine data are needed that make the demands, constraints, costs and choices facing implementers more explicit.</p>
Project Section: Searching for Mutations Leading to Isoniazid Resistance in TB (HackBio)
<p><strong>Introduction</strong></p> <p><span>Tuberculosis (TB) remains a global health concern, and the emergence of drug-resistant strains poses a significant challenge to effective treatment. Isoniazid is a key first-line drug used in the treatment of TB, and resistance to this drug can compromise the success of therapy. </span></p> <p><span>This project aims to identify and characterise genetic mutations associated with isoniazid resistance in </span><em>Mycobacterium tuberculosis</em><span>, the causative agent of TB. </span></p> <p><strong>Datasets</strong><span>: Here</span></p> <p><strong>Task:</strong></p> <ul> <li><span>Given the datasets above, perform the complete variant calling and annotation pipeline to specifically identify the following known mutations in </span><em>Mycobacterium tuberculosis</em><span> (against Isoniazid). </span></li> <li><span>Provide pretty IGV visualisation of mutations in </span><em>katG</em><span> sequences (Position: 2156111 - 2153889) across all the samples. N/B: </span><em>katG</em><span> mutations are prevalent in isoniazid resistance.</span></li> <li><span>Also, explore associated biological pathways to understand the molecular mechanisms of isoniazid resistance.</span></li> </ul> <p><strong><span>Expected Output:</span></strong></p> <p><span>Kindly submit a comprehensive project report, including methods, results, and interpretations.</span></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.