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Bandage

Bandages are versatile medical devices used to cover, protect, and support injuries or wounds.
They come in a variety of materials, sizes, and designs to meet different clinical needs.
Bandages may be used to absorb exudate, provide compression, or facilitate healing.
Effective bandage selection and application can improve patient outcomes and reduce the risk of complications.
Researchers can leverage PubCompare.ai's AI-powered tool to optimize bandage products by identifying the most effective protocols from published literature, preprints, and patents.
This data-driven analysis can help improve reproducibility and innovation in bandage research, leading to better solutions for patients.

Most cited protocols related to «Bandage»

1
Development and Validation of the 5-D Itch Scale
Preliminary items for the 5-D itch scale were derived from (i) modification of the Total Neuropathy Scale4 (link) to be relevant to pruritus rather than neuropathy, (ii) clinical experience by the authors and expert consultants with chronic pruritus under conditions of patient care and clinical trials and (iii) review of the pruritus literature. The preliminary version included both open-ended questions and specific response questions regarding the patient's perception of pruritus. This preliminary version was administered to 21 patients participating in a trial of sertraline for a treatment of cholestatic pruritus.5 (link) Ambiguous items or response choices were revised and response choices selected less than 5% of the time were removed.
The remaining items were grouped into five domains: duration, degree, direction, disability and distribution. Accordingly, the scale was titled the ‘5-D itch scale’ (Fig. 2). The duration, degree and direction domains each included one item, while the disability domain had four items. All items of the first four domains were measured on a five-point Likert scale.
The distribution domain included 16 potential locations of itch, including 15 body part items and one point of contact with clothing or bandages. The preliminary version of the questionnaire also included an ‘other’ item which allowed subjects to write in a response. This led to further refinement of the body part list by the addition of ‘groin’, which was reported by nine subjects. Additional items written in for the free text ‘other’ item were determined by the authors to fit conceptually into items which were already present on the 5-D (e.g. ‘breast’ could be categorized as ‘chest’). Therefore, the instructions were modified to instruct the participant to select the anatomically closest body part for areas that they might not find on the list.
Elman S., Hynan L.S., Gabriel V, & Mayo M.J. (2009). The 5-D itch scale: a new measure of pruritus. The British journal of dermatology, 162(3), 587-593.
Publication 2009
Breast Chest Cholestasis Disabled Persons Groin Parts, Body Patients Pruritus Sertraline
2
Accurate Organelle Genome Assembly
Because sequences are often shared among plastomes, mitogenomes, and nuclear genomes, the accepted reads from step 2 sometimes unavoidably include non-target reads. As a consequence, the output assembly graph might also include non-target contigs. However, previously reported tools did not account for or adequately addressed this concern.
GetOrganelle searches for the target-like contigs from the original assembly graph file by jointly using the contig label table, contig connections, and contig coverages (Fig. 1, green solid arrow 4 and blue solid arrow 1). To create the contig label table, GetOrganelle takes the contigs in the assembly graph as the queries, conducts the BLAST search against a local label database (see next paragraph), generates the BLAST hit table, and converts the generated BLAST hit table into the contig label table, which records the gene identities and organelle types of those BLAST matches. By conservatively deleting non-target contigs, GetOrganelle outputs a simplified assembly graph file, along with a concomitant cognominal TAB-formatted file recording the contig label table (with the extension “.csv” to be in conformity with Bandage). This step is completed automatically by the two major scripts or can be independently executed using the script “slim_fastg.py”.
For GetOrganelle, the default label database of a certain organelle is made from the coding regions of that organelle genome. We created six default label databases that correspond to the six types of organelle genome in the seed databases. A contig that hit the target organelle database will be labeled with gene identity in the “.csv” file and called target-hit-contig here. Any contig that is directly or indirectly connecting to that target-hit-contig is called a target-associated-contig. Here, we define a group of interconnected contigs as a connected component of the assembly graph. GetOrganelle by default retains all connected components with target-hit-contig(s). Additionally, in the embplant_pt or embplant_mt mode, GetOrganelle by default retains both plastome and mitogenome connected components for downstream clustering contigs by coverage. Generally, this roughly filtering step is designed to be conserved and avoiding removing true target contigs.
Jin J.J., Yu W.B., Yang J.B., Song Y., dePamphilis C.W., Yi T.S, & Li D.Z. (2020). GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes. Genome Biology, 21, 241.
Publication 2020
Bandage Genome Organelles
3
Assessing Functional Disability in High-Risk Pediatric Patients
Patients were eligible if they were greater than 38 weeks gestation and less than 18 years of age, and additionally met criteria for one of three study groups of patients at high risk for functional disabilities (for example, anatomic abnormalities of the brain, metabolic conditions, chronic respiratory disease, etc). These groups were PICU patients within 24 hours of discharge, high-risk non-PICU patients within 24 hours of hospital admission, and technology dependent children. The study sample was selected to achieve a final distribution of 40% PICU discharges, 40% high-risk admissions, and 20% technology-dependent children. High risk hospitalizations were based on, but not limited to, a preselected set of diagnoses including spina bifida, mental retardation, seizure disorders, other neurological disorders and chromosomal abnormalities. Technology dependent patients were studied either during their acute hospitalization, at long-term care facilities, or during a clinic visit. If during a given day of the study period, more eligible patients were available within a study group than could be assessed, study patients were randomly selected. Patients were enrolled on weekdays from July 28, 2006 through March 1, 2007.
Data included subject age, gender, acute diagnosis, major clinical events resulting in, or likely to result in major decrements in functional status, emergency/elective status on admission, operative status at the time of inclusion, use of sedatives, narcotics, sleeping aids or other therapies that could potentially interfere with functional status including restraints, arm boards, bandages, casts, and other devices.
The FSS was collected by a research coordinator (nurse or respiratory therapist) or physician-investigator at each site. All individuals collecting data were trained by the data coordinating center at the same training session. The ABAS II was completed by the primary care nurse within 4 hours of the collection of the FSS data based on his/her understanding of the patients functioning at the time the FSS was completed. Nurses were oriented to the study prior to its onset.
We randomly selected 10% of study days to evaluate inter-rater reliability. On these days, both a study physician and research coordinator independently completed the FSS evaluation within 4 hours of each other.
Pollack M.M., Holubkov R., Glass P., Dean J.M., Meert K.L., Zimmerman J., Anand K.J., Carcillo J., Newth C.J., Harrison R., Willson D.F, & Nicholson C. (2009). The Functional Status Score (FSS): A New Pediatric Outcome Measure. Pediatrics, 124(1), e18-e28.
Publication 2009
Acquired Immunodeficiency Syndrome Brain CD3EAP protein, human Child Chromosome Aberrations Clinic Visits Congenital Abnormality Diagnosis Disabled Persons Disease, Chronic Emergencies Epilepsy Gender Hospitalization Intellectual Disability Medical Devices Metabolic Diseases Narcotics Nervous System Disorder Nurses Patient Admission Patients Physicians Pregnancy Primary Health Care Respiration Disorders Respiratory Rate Sedatives Spina Bifida
4
Comprehensive Klebsiella Capsule Genotyping
We have previously reported genotyping information for 13 156 publicly available KpSC genomes [including species, multilocus sequence types (STs), K loci and K locus confidence calls] [38 (link)]. Here, we leverage these data in combination with 3958 additional published KpSC genomes and 638 from our unpublished collection (Table 2) for which the corresponding sequence reads were de novo assembled using Unicycler v0.4.7. Species and STs were determined using Kleborate v2.0.3 [38 (link)] and K loci identified using Kaptive v0.7.3 [29 (link)].
Genomes for which the Kaptive K locus confidence call was ‘Low’ or ‘None’ were included for further analysis as follows: genomes for which the Kaptive output did not indicate a fragmented K locus assembly (i.e. the K locus problems column did not contain ‘?’) were subjected to manual inspection using Bandage v0.8.1 [48 (link)] to visualize the blastn coverage to the best match K locus and assess whether the genome truly harboured the 'best match locus', a variant thereof [insertion sequence (IS) or deletion variant] or a putative novel locus. Genomic regions corresponding to putative novel loci were extracted and clustered using cd-hit-est v4.8.1 (default parameters) [49 (link)]. A single representative of each cluster was: (a) annotated using Prokka v1.14.6 [50 (link)] with a reference database of known KpSC K locus genes; (b) subjected to blastn search for known KpSC K locus genes and those annotated in each of the other putative novel K loci. Inspection of the blastn results highlighted putative novel loci with similarity to each other and/or existing loci (i.e. those with blastn hits ≥80 % identity and ≥80 % coverage to multiple capsule-sugar-specific synthesis genes from the same reference locus). The corresponding loci were subsequently compared by blastn and visualized with the Artemis Comparison Tool v18.0.2 [51 (link)] to clarify whether they were novel loci with a distinct set of capsule-sugar-specific synthesis genes or should be considered as IS or deletion variants of the same locus.
Annotations were manually curated for one representative of each of the final set of distinct novel loci (Table S1). Where possible, sequences without IS transposase annotations were preferentially selected for curation, as is recommended in order to prevent Kaptive reporting spurious gene matches to transposases that may be present in multiple copies in any location of a query genome. Where no IS transposase-free representative was available (n=5 loci, subsequently assigned KL173, KL176, KL181, KL184 and KL185), full length ISs were identified by blastn search of the ISfinder database [52 (link)] and manually deleted along with their associated direct repeats and one copy of the associated target site duplicated repeat to obtain a putative IS-free reference sequence. Curated locus annotations were added to the reference database and Kaptive was rerun on all genomes to determine the prevalence of novel loci (Table S2). Only Kaptive locus calls with confidence ‘Good’ or better are reported. Visual comparisons of the novel K loci and annotated coding sequences were generated with clinker v0.0.21 [53 (link)].
Lam M.M., Wick R.R., Judd L.M., Holt K.E, & Wyres K.L. (2022). Kaptive 2.0: updated capsule and lipopolysaccharide locus typing for the Klebsiella pneumoniae species complex. Microbial Genomics, 8(3), 000800.
Publication 2022
Anabolism Bandage Capsule Carbohydrates Deletion Mutation Direct Repeat DNA Insertion Elements Exons Genes Genetic Loci Genome Multiple Birth Offspring SULT1E1 protein, human Transposase
5
Improving Post-Circumcision Care via Automated Monitoring
2wT men received all routine MC services (Table 1). In addition to the 5-minute, routine, postoperative care, 2wT men received an additional 10 minutes of counseling: 5 minutes on incoming texts (how to respond and ask questions) and 5 minutes on bandage removal, wound care, and AE recognition using a photo flip book showing signs of common mild or moderate AEs. Intervention men were then registered in a custom 2wT software application built using the open source Community Health Toolkit (see example app built using the Toolkit, Figure 1, Supplemental Digital Content, http://links.lww.com/QAI/B386). 2wT clients received automated daily texts from days 1 to 13 in either English or Shona; responses were in either language. If they responded without suspicion of complication, no immediate action followed (Fig. 1). If a 2wT client responded affirmatively to any daily text with suspicion of complication, the 2wT MC nurse exchanged modifiable, scripted texts with them to determine the symptoms, frequency, and severity. Then, if deemed necessary, the client was asked to return to clinic the following day or earlier if an emergency was suspected. If 2wT patients did not respond to texts on day 2 or day 7, MoHCC tracing was activated. 2wT men were asked to return for study-specific, day-14 follow-up to review healing and verify AEs. Study-specific day-14 tracing was conducted only if there had been no client contact by day 14. Day 14 was chosen for verification because 95% of AEs within ZAZIC's MC program are reported by day 14.31 (link) The day 14 review was conducted by routine MC providers according to MoHCC review guidelines. On the day-14 visit, a $5 cell phone credit was given to all participants to compensate for time and travel.
Feldacker C., Murenje V., Holeman I., Xaba S., Makunike-Chikwinya B., Korir M., Gundidza P.T., Holec M., Barnhart S, & Tshimanga M. (2019). Reducing Provider Workload While Preserving Patient Safety: A Randomized Control Trial Using 2-Way Texting for Postoperative Follow-up in Zimbabwe's Voluntary Medical Male Circumcision Program. Journal of Acquired Immune Deficiency Syndromes (1999), 83(1), 16-23.
Publication 2019
Bandage Emergencies Nurses Patients Postoperative Care Wounds

Most recents protocols related to «Bandage»

1
Plastid Genome Annotation and Visualization
The clean data were assembled using GetOrganelle v. 1.7.1 [71 (link)], The complete circular assembly graph was checked and further extracted using Bandage v. 0.8.1 [72 (link)]. The finished plastid genomes were annotated by DOGMA [73 (link)], and GeSeq [74 (link)], and then manually adjusted by Geneious v. 9.1.7 [75 (link)]. Gene start and stop codons were determined via comparison with the A. maritima (NC_045093) and A. annua (NC_034683) genomes. The annotated plastid genomes were submitted to GenBank (Table 1) and Organellar Genome Draw (OGDRAW) [76 (link)] was used to illustrate a circular genome map.
Jin G., Li W., Song F., Yang L., Wen Z, & Feng Y. (2023). Comparative analysis of complete Artemisia subgenus Seriphidium (Asteraceae: Anthemideae) chloroplast genomes: insights into structural divergence and phylogenetic relationships. BMC Plant Biology, 23, 136.
Publication 2023
Bandage Codon, Terminator Genes Genome Genome, Plastid Organelles
2
Tick Feeding Capsule Design and Attachment for Deer
Ticks were acquired from the Oklahoma State Tick Rearing Facility (OSU) (Stillwater, OK, USA). Equal numbers of each sex and species (I. scapularis and A. americanum) were obtained. For each lot of I. scapularis and A. americanum and prior to shipment to the study site, OSU screened a subsample of ticks (n = 10) for pathogens using standardized PCR assays. Ixodes scapularis were screened for B. burgdorferi and Anaplasma phagocytophilum. Amblyomma americanum were screened for the presence of Ehrlichia chaffeensis, Francisella tularensis and Rickettsia rickettsii. All PCR-screened ticks were negative for the above pathogens. Once ticks arrived at the study site, they were housed in an industry-standard desiccator with the relative humidity maintained at > 90% until enclosed in a feeding capsule for attachment to deer.
The feeding capsules utilized in this study were specifically designed for holding blood-feeding I. scapularis and A. americanum. Feeding capsules allow for the containment and localization of ticks and aid in facilitating blood-feeding [40 (link)]. The traditional stockinet sleeve method for feeding ticks on cattle [41 (link)–43 ] was determined to be inadequate for white-tailed deer. We instead developed a feeding capsule for deer application, which was in part based upon feeding capsules for ticks (referred to hereafter as tick feeding capsules) previously designed for tick-feeding on rabbits and sheep [44 ]. To make each capsule, sheets of ethylene–vinyl acetate foam were cut into three square pieces. Each square had a different outside area, allowing for flexibility (base, approx. 12 × 12 cm; middle, approx. 9 × 9 cm; top, approx. 7 × 7 cm), and had a combined depth of approximately 18 mm. The center of each square was cut away, creating an opening. The inner surface areas of the base and middle piece openings were each approximately 7 × 7 cm; the top piece had a smaller opening (approx. 1.5 × 1.5 cm) through which the ticks were to be inserted, which decreased the probability that ticks would escape through the top of the capsule (Additional file 3: Figure S2).
Deer were anesthetized using an intramuscular injection of telazol and xylazine at dosages of approximately 3 mg/kg and approximately 2.5 mg/kg, respectively. Once fully anesthetized, deer were weighed to the nearest 0.1 kg using a certified balance. Prior to blood collection and capsule attachment, large patches of fur on the neck were trimmed using electric horse clippers (Wahl®; Wahl Clipper Corp., Sterling, IL, USA). Prior to capsule attachment, 10 ml of blood was collected from the jugular vein of each deer using a 20-gauge needle. The blood from each individual deer was immediately placed into a vacutainer containing EDTA and was centrifuged for 10 min at 7000 revolutions/min. The plasma was transferred to 1.5-ml centrifuge tubes, which were then stored at − 20 °C until analysis.
Two identical tick feeding capsules were attached to opposing sides of the neck of each deer using a liberal amount of fabric glue (Tear Mender, St. Louis, MO, USA). Each capsule was held firmly in place for > 3 min to allow it to adhere to the skin and fur. For each deer, 20 I. scapularis mating pairs were placed within one capsule, and 20 A. americanum mating pairs were placed within the second capsule. Prior to tick attachment, 20 ticks (all same species and sex) were placed into a modified 5-ml syringe. Ticks were chilled in ice for approximately 5–10 min to slow movement. The 20 mating pairs were then carefully plunged into the capsules and a fine mesh lid was applied and reinforced with duct tape. Representative photos and video of the tick attachment process are presented in Fig. 2 and Additional file 4: Video S1, respectively. The capsules were further secured to deer by wrapping the neck with a veterinary bandage (3 M Company, St. Paul, MN, USA).

Tick capsule attachment and tick attachment. a Female ticks being plunged into capsule, b plunger being removed prior to mesh lid being secured, c completed, secured capsule being checked to ensure all corners are adhered to the neck, d closeup of completed capsule containing 20 Ixodes scapularis mating pairs

After completion of capsule and tick attachment, deer were given tolazine via intramuscular injection at a dose of 4 mg/kg to reverse the effects of the anesthetic. Deer were then housed in individual pens, observed closely until they were mobile and moving normally and monitored routinely for the remainder of the day.
Poché D.M., Wagner D., Green K., Smith Z., Hawthorne N., Tseveenjav B, & Poché R.M. (2023). Development of a low-dose fipronil deer feed: evaluation of efficacy against two medically important tick species parasitizing white-tailed deer (Odocoileus virginianus) under pen conditions. Parasites & Vectors, 16, 94.
Publication 2023
Amblyomma americanum Anaplasma phagocytophilum Anesthetic Effect ARID1A protein, human Bandage Biological Assay BLOOD Capsule Cattle Deer Edetic Acid Ehrlichia chaffeensis Electricity Equus caballus Ethylenes Females Francisella tularensis Humidity Intramuscular Injection Ixodes scapularis Jugular Vein Movement Neck Needles Odocoileus virginianus Oryctolagus cuniculus pathogenesis Plasma Rickettsia rickettsii Sheep Skin Syringes Tears Telazol Ticks vinyl acetate Xylazine
3
Sequencing and Assembly of Streptococcus suis Genomes

S. suis isolates were grown on sheep blood agar at 37 °C with 5 % CO2 for 24 h. Bacterial DNA was extracted using the ZymoBIOMICS DNA Kit (Zymo Research, Irvine, CA, USA) following the manufacturer’s instructions. Sequencing libraries were prepared using Nextera XT Library preparation kit and the XT Index kit v2 Set A (Illumina, San Diego, CA, USA). Quantity and average sizes of the libraries were measured using Qubit dsDNA assay kit (Thermo Fisher Scientific Corporation, Eugene, OR, USA) and Agilent High Sensitivity DNA kit (Agilent Technologies, Santa Clara, CA, USA), respectively. The pooled libraries were subjected to a single run of 300 bp paired-end Illumina MiSeq sequencing using the Reagent Kit v3 at Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University. For bioinformatics analyses, default settings were used unless noted otherwise. Raw Illumina reads were filtered using fastp v0.20.0 [31 (link)] and read quality was assessed with FastQC (v0.11.8, https://github.com/s-andrews/FastQC). Filtered reads were taxonomically classified using Kraken2 (v2.0.8) and the MiniKraken v2 database to evaluate the presence of contaminant bacterial and human genomic DNA [32 (link)]. The serotype of the strains was determined using the S. suis serotyping pipeline fed with the filtered reads [33 (link)]. The whole-genome average nucleotide identity (ANI) of the filtered reads was assessed using FastANI v1.32 against eight complete S. suis genomes and one complete Streptococcus parasuis genome to confirm the species classification of the isolates (Table S1) [34 (link)].
To generate complete genomes, nine outbreak isolates were selected for additional long read sequencing using the Oxford Nanopore Technologies (ONT) platform. Isolates were randomly selected, stratified by gender and including the index case (STC78) for ONT long read sequencing. The rapid barcoding protocol was followed for ONT-based DNA sequencing using the SQK-RBK004 kit without selecting DNA size to preserve plasmid DNA. The libraries were sequenced using a single R9.4.1/FLO-MIN106 flow cell on a MinION Mk1B sequencer. Raw data was demultiplexed using Guppy v3.4.5 (ONT), specifying the high-accuracy model (-c dna_r9.4.1_450bps_hac.cfg). The ONT adapters were trimmed using Porechop (v0.2.4 https://github.com/rrwick/Porechop) and filtered using Filtlong (v0.20.0, https://github.com/rrwick/Filtlong) with a minimum read length of 500 bp. NanoPlot (v1.28.1 https://github.com/wdecoster/NanoPlot) was used for quality control of the ONT long reads. Draft genomes were assembled from Illumina sequencing data using SPADes v3.14.1 [35 (link)] with Shovill (v1.0.9 https://github.com/tseemann/shovill). Hybrid assemblies of ONT and Illumina data were generated using Unicycler v0.4.8 [36 (link)], and the quality of the complete genome sequences was checked using QUAST v5.0.2 [37 (link)]. The assembly graphs the bacterial chromosome and plasmids generated with Unicycler were visualized with Bandage v0.8.1 [38 (link)]. Draft and complete genomes were annotated using Prokka v1.14.6 [39 (link)].
Brizuela J., Kajeekul R., Roodsant T.J., Riwload A., Boueroy P., Pattanapongpaibool A., Thaipadungpanit J., Jenjaroenpun P., Wongsurawat T., Batty E.M., van der Putten B.C., Schultsz C, & Kerdsin A. (2023). Streptococcus suis outbreak caused by an emerging zoonotic strain with acquired multi-drug resistance in Thailand. Microbial Genomics, 9(2), mgen000952.
Publication 2023
A-A-1 antibiotic Agar Bacteria Bandage Biological Assay Blood Cells Chromosomes, Bacterial DNA, Bacterial DNA, Double-Stranded DNA Library Domestic Sheep Faculty Faculty, Medical Genome Genome, Human Hybrids Hypersensitivity Lebistes Nucleotides Plasmids Streptococcus parasuis
4
Child-Centered Intervention for Cannula Insertion
The study was approved by The Swedish National Ethical Review Board (Dnr 2019–04927). After the children had given their assent and parents had given consent to inclusion in the study, the children received standard care, consisting of topical anesthesia patches, for a minimum of 1 h before the cannula insertion; the children also received information according to the routines. Children in the intervention group received standard care plus the addition of a child‐centered intervention. The same material and routines for the cannula insertion were used during the entire study period. One, or in some cases, two nurses participated during the cannula insertion, depending on the child's age and if it was already known that the child was afraid of needles.
Before the cannula insertion started, the first author, IK, asked all children to self‐report their experiences of fear and pain using four different scales. A pulse oximeter was attached to the child's finger. Data collection began just before the nurse removed the anesthetic patches and ended when the child had received a bandage. Immediately after completion of the cannula insertion, the child again self‐reported their fear and pain, and IK noted the heart rate. The behavioral observation was performed by IK from the bedside during the cannula insertion. IK was available to support the child, if necessary, during the intervention. The accompanying parent was present with the child throughout the cannula insertion. After completing the cannula insertion, the child was asked the follow‐up question “Would you be satisfied with undergoing the cannula insertion in the same way again, if needed in the future?”. The answer options were yes and no. For an overview of the study process for the data collection, see Figure 2.
To control for the risk of influencing the nurses and to avoid the so‐called “spill over” effect between the control and intervention groups, the control group was studied first.
Kleye I., Sundler A.J., Karlsson K., Darcy L, & Hedén L. (2023). Positive effects of a child‐centered intervention on children's fear and pain during needle procedures. Paediatric & Neonatal Pain, 5(1), 23-30.
Publication 2023
Anesthetics Bandage Behavior Observation Techniques Cannulation Child Ethical Review Fear Fingers Needles Nurses Pain Parent Pulse Rate Rate, Heart Topical Anesthetics
5
Cactus Plastome and Mitogenome Assembly
Total genomic DNA was extracted by using the CTAB method [62 (link)]. The DNA library with an insert size of 350 bp was constructed using an NEBNext® library construction kit (supplier, city country) and sequenced by using the HiSeq XTen PE150 sequencing platform (supplier, city country). See Table S6 for detailed information on Illumina sequencing data quality. Furthermore, clean data were obtained by using Trimmomatic (v0.32) [63 ] as follows: we removed low-quality sequences, including sequences with a quality value of Q < 19 that accounted for more than 50% of the total bases and sequences in which more than 5% of the bases were “N”. To assemble cactus plastomes, de novo genome assembly from the clean data was accomplished utilizing GetOrganelle (v1.7.3) [64 (link)] with the default setting. For linear contigs, NOVOPlasty (v3.8.1) [65 (link)] was used for further contig extensions. The correctness of the assembly was confirmed by using Bowtie2 (v2. 0.1) [66 (link)] to manually edit and map all the raw reads to the assembled genome sequence under the default settings. Detailed assembly information is shown in Table S7. Pereskia aculeata was also sequenced using the Oxford Nanopore promethION platform.
We assembled the draft mitochondrial genome using Illumina reads with the ‘embplant_mt’ option in GetOrganelle (v1.7.3). Then, we visualized the raw GFA file produced by GetOrganelle (v1.7.3) in Bandage (v0.8.1) [67 ]. The plastid/nuclear-derived contigs were removed manually based on the coverage and BLASTn results retrieved from the NCBI database. Only the mitogenomes that consisted of a network of closed and connected contigs were thought to be complete. Although the extensive repeats could not be resolved without long reads, the draft mitogenome assembled here was considered complete, and it represents all mitochondrial DNA sequences of the species.
Yu J., Li J., Zuo Y., Qin Q., Zeng S., Rennenberg H, & Deng H. (2023). Plastome variations reveal the distinct evolutionary scenarios of plastomes in the subfamily Cereoideae (Cactaceae). BMC Plant Biology, 23, 132.
Publication 2023
Bandage Cactaceae Cetrimonium Bromide DNA, Mitochondrial DNA Library Genome Genome, Mitochondrial Plastids

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Anti cd28 dab by Bristol-Myers Squibb
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More about "Bandage"

Bandages are versatile medical dressings used to cover, protect, and support injuries or wounds.
These wound care products come in a variety of materials, sizes, and designs to meet different clinical needs.
Bandages may be used to absorb exudate, provide compression, or facilitate healing.
Effective bandage selection and application can improve patient outcomes and reduce the risk of complications.
Researchers can leverage PubCompare.ai's AI-powered tool to optimize bandage products by identifying the most effective protocols from published literature, preprints, and patents.
This data-driven analysis can help improve reproducibility and innovation in bandage research, leading to better solutions for patients.
Synonyms and related terms for bandages include: wound dressings, surgical tapes, adhesive strips, gauze, Tegaderm, Bactigras, Band-Aid, and other wound care products.
Abbreviations like 'dressing' or 'wound care' may also be used.
Subtopics in bandage research include material composition, absorbency, compression, and healing properties.
Innovative technologies like Vigamox, WaveLight EX500, MiSeq, Mel 80 excimer laser, HiSeq 2500, NovaSeq 6000, and Anti-CD28 dAb may be leveraged to enhance bandage performance and patient outcomes.
By utilizing PubCompare.ai's intelligent tool, researchers can identify the most effective bandage protocols from a wide range of literature sources, improving reproducibility and driving innovation in this critical area of medical care.