In pairing, BWA processes 256K read pairs in a batch. In each batch, BWA loads the full BWA index into memory, generates the chromosomal coordinate for each occurrence, estimates the insert size distribution from read pairs with both ends mapped with mapping quality higher than 20, and then pairs them. After that, BWA clears the BWT index from the memory, loads the 2 bit encoded reference sequence and performs Smith–Waterman alignment for unmapped reads whose mates can be reliably aligned. Smith–Waterman alignment rescues some reads with excessive differences.
Chromosomes
They are composed of DNA and protein, and come in pairs, with one chromosome from each parent.
Chromosomes play a crucial role in cell division, heredity, and genetic disorders.
Understanding the structure and function of chromosomes is essential for advancing research in fields such as genetics, genomics, and molecular biology.
With PubCompare.ai's AI-driven platform, you can easily locate and compare protocols related to chromosomes, streamlining your research workflow and enhancing reproducibility.
Most cited protocols related to «Chromosomes»
In pairing, BWA processes 256K read pairs in a batch. In each batch, BWA loads the full BWA index into memory, generates the chromosomal coordinate for each occurrence, estimates the insert size distribution from read pairs with both ends mapped with mapping quality higher than 20, and then pairs them. After that, BWA clears the BWT index from the memory, loads the 2 bit encoded reference sequence and performs Smith–Waterman alignment for unmapped reads whose mates can be reliably aligned. Smith–Waterman alignment rescues some reads with excessive differences.
Nonindexed formats include flat file formats such as GFF [11 ], BED [12 ] and WIG [13 ]. Files in these formats must be read in their entirety and are only suitable for relatively small data sets.
Indexed formats include BAM and Goby [14 ] for sequence alignments. Additionally, many tab-delimited feature formats can be converted to an indexed file using Tabix [15 (link)] or ‘igvtools’. Indexed formats provide rapid and efficient access to subsets of the data for display, but only when zoomed in to a sufficiently small genomic region. Zooming out requires ever-larger portions of the file to be loaded. Thus, indexed formats can efficiently support views only for a limited range of resolution scales. This range depends on the genomic density of the underlying data and can span tens of kilobases for NGS alignments, hundreds of megabases for typical variant (SNP) files, or whole chromosomes for sparse feature files. IGV uses heuristics to determine a suitable upper limit on the genomic range that can be loaded quickly with a reasonable memory footprint. If zoomed out beyond this limit, the data are not loaded.
Multiresolution formats, such as our TDF described earlier and the bigWig and bigBed formats [16 (link)], include both an index for the raw data, and precomputed indexed summary data for lower resolution (zoomed out) scales. Multiresolution formats can efficiently support views at any resolution scale.
In addition, the user has the option to shift tags by an arbitrary number (
In BWA-SW, we say two alignments are distinct if the length of the overlapping region on the query is less than half of the length of the shorter query segment. We aim to find a set of distinct alignments which maximizes the sum of scores of each alignment in the set. This problem can be solved by dynamic programming, but as in our case a read is usually aligned entirely, a greedy approximation would work well. In the practical implementation, we sort the local alignments based on their alignment scores, scan the sorted list from the best one and keep an alignment if it is distinct from all the kept alignments with larger scores; if alignment a2 is rejected because it is not distinctive from a1, we regard a2 to be a suboptimal alignment to a1 and use this information to approximate the mapping quality (
Because we only retain alignments largely non-overlapping on the query sequence, we might as well discard seeds that do not contribute to the final alignments. Detecting such seeds can be done with another heuristic before the Smith–Waterman extension and time spent on unnecessary extension can thus be saved. To identify these seeds, we chain seeds that are contained in a band (default band width 50 bp). If on the query sequence a short chain is fully contained in a long chain and the number of seeds in the short chain is below one-tenth of the number of seeds in the long chain, we discard all the seeds in the short chain, based on the observation that the short chain can rarely lead to a better alignment than the long chain in this case. Unlike the Z-best strategy, this heuristic does not have a noticeable effect on alignment accuracy. On 1000 10 kb simulated data, it halves the running time with no reduction in accuracy.
Most recents protocols related to «Chromosomes»
Example 2
A 30× genome coverage of both Xi19 and Robigus was generated. Bio-informatic mapping of the gDNA reads to the IWGSCWGAV02_2BS_scaffold14096, IWGSCWGAV02_2BS_scaffold11627 and the BAC sequence confirmed large structural differences in the region, which explain the observed lack of recombination. Essentially, there were no gDNA-seq reads from Xi19 that mapped onto the BAC sequence of Renan (
Example 1
This example describes the generation of a marker-free B. subtilis strain expressing allulose epimerase. Briefly, in a first step, a B. subtilis strain was transformed with a cassette encoding the BMCGD1 epimerase and including an antibiotic resistance marker. This cassette recombined into the Bacillus chromosome and knocked out 8 kb of DNA, including a large sporulation gene cluster and the lysine biosynthesis gene lysA. In a second step, a second cassette was recombined into the B. subtilis chromosome, restoring the lysA gene and removing DNA encoding the antibiotic resistance. E. coli strain 39 A10 from the Keio collection was used to passage plasmid DNA prior to transformation of B. subtilis. The relevant phenotype is a deficiency in the DNA methylase HsdM in an otherwise wild-type K-12 strain of E. coli.
In detail, a cassette of 5120 bp (SEQ ID NO:1; synthetic DNA from IDT, Coralville, Iowa) was synthesized and cloned into a standard ampicillin resistant pIDT vector. The synthetic piece encoded 700 bp upstream of lysA on the B. subtilis chromosome, the antibiotic marker cat (651 bp), the DNA-binding protein lad (1083 bp), and the allulose epimerase (894 bp), and included 700 bp of homology in dacF. This vector was transformed into E. coli strain 39 A10 (Baba et al., 2006), and plasmid DNA was prepared and transformed into B. subtilis strains 1A751 and 1A976.
Transformants were selected on LB supplemented with chloramphenicol. The replicon for pIDT is functional in E. coli but does not work in Gram positive bacteria such as B. subtilis. The colonies that arose therefore represented an integration event into the chromosome. In strain 1A751, the colony morphology on the plates was used to distinguish between single and double recombination events. The double recombination event would knock out genes required for sporulation, whereas the single recombination would not. After three days on LB plates, colonies capable of sporulation were brown and opaque; sporulation-deficient colonies were more translucent.
B. subtilis strain 1A976 with the allulose epimerase cassette is auxotrophic for histidine and lysine and can achieve very high transformation efficiency upon xylose induction. A 1925 bp synthetic DNA (SEQ ID NO:2) was amplified by primers (SEQ ID NO:3, SEQ ID NO:4) and Taq polymerase (Promega). This PCR product encoded the lysA gene that was deleted by the dropping in the epimerase cassette and 500 bp of homology to lad. A successful double recombination event of this DNA should result in colonies that are prototrophic for lysine and sensitive to chloramphenicol; i.e., the entire cat gene should be lost.
Transformants were selected on Davis minimal media supplemented with histidine. Colonies that arose were characterized by PCR and streaking onto LB with and without chloramphenicol. Strains that amplified the introduced DNA and that were chloramphenicol sensitive were further characterized, and their chromosomal DNA was extracted.
Strain 1A751 containing the chloramphenicol resistant allulose was transformed with this chromosomal DNA and selected on Davis minimal media supplemented with histidine. Transformants were streaked onto LB with and without chloramphenicol and characterized enzymatically as described below.
Example 3
We generated and analyzed a collection of 14 early-passage (passage ≤9) human pES cell lines for the persistence of haploid cells. All cell lines originated from activated oocytes displaying second polar body extrusion and a single pronucleus. We initially utilized chromosome counting by metaphase spreading and G-banding as a method for unambiguous and quantitative discovery of rare haploid nuclei. Among ten individual pES cell lines, a low proportion of haploid metaphases was found exclusively in a single cell line, pES10 (1.3%, Table 1B). We also used viable FACS with Hoechst 33342 staining, aiming to isolate cells with a DNA content corresponding to less than two chromosomal copies (2c) from four additional lines, leading to the successful enrichment of haploid cells from a second cell line, pES12 (Table 2).
Two individual haploid-enriched ES cell lines were established from both pES10 and pES12 (hereafter referred to as h-pES10 and h-pES12) within five to six rounds of 1c-cell FACS enrichment and expansion (
Both h-pES10 and h-pES12 exhibited classical human pluripotent stem cell features, including typical colony morphology and alkaline phosphatase activity (
Haploid cells are valuable for loss-of-function genetic screening because phenotypically-selectable mutants can be identified upon disruption of a single allele. To demonstrate the applicability of this principle in haploid human ES cells, we generated a genome-wide mutant library using a piggyBac transposon gene trap system that targets transcriptionally active loci (
Example 1
To generate an attenuated strain of P. aeruginosa for production of alginate, the following virulence factor genes were sequentially deleted from the chromosome of the wild-type strain PAO1: toxA, plcH, phzM, wapR, and aroA. toxA encodes the secreted toxin Exotoxin A, which inhibits protein synthesis in the host by deactivating elongation factor 2 (EF-2). plcH encodes the secreted toxin hemolytic phospholipase C, which acts as a surfactant and damages host cell membranes. phzM encodes phenazine-specific methyltransferase, an enzyme required for the production of the redox active, pro-inflammatory, blue-green secreted pigment, pyocyanin. wapR encodes a rhamnosyltransferase involved in synthesizing O-antigen, a component of lipopolysaccharide (LPS) of the outer membrane of the organism. aroA encodes 3-phosphoshikimate 1-carboxyvinyltransferase, which is required intracellularly for aromatic amino acid synthesis. Deletion of aroA from the P. aeruginosa genome has previously been shown to attenuate the pathogen. Each gene was successfully deleted using a homologous recombination strategy with the pEX100T-Not1 plasmid. The in-frame, marker-less deletion of these five gene sequences was verified by Sanger sequencing and by whole genome resequencing (
To verify gene deletion and attenuation of the PGN5 strain, the presence of the products of the deleted genes was measured and was either undetectable, or significantly reduced in the PGN5 strain. To test for the toxA gene deletion in PGN5, a Western blot analysis was performed for the presence of Exotoxin A in the culture medium. Exotoxin A secretion was detected in wild-type PAO1 control, but not in the PGN5 strain (
Example 4
Since no mortality was observed in mice injected with PGN5+mucE, it was determined whether cells of this strain might localize differently than VE2 cells within the mice post-injection. To test this, the luxCDABEG operon was used to tag each strain with bioluminescence. VE2 and PGN5+mucE both carry gentamicin resistance genes, while the plasmids used for labeling with bioluminescence required gentamicin sensitivity. Thus, the luxCDABEG operon was incorporated into the chromosome of PAO1 and PGN5, and then the pUCP20-pGm-mucE plasmid was introduced into each strain to induce alginate production and mucoidy. Intraperitoneal injection of C57BL/6 mice with bioluminescent PAO1+mucE showed either localization at the injection site or dissemination through the body, and lethality resulted in all mice injected (
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More about "Chromosomes"
These thread-like structures, composed of DNA and proteins, come in pairs and carry the genes that determine our inherited traits.
Understanding chromosomes is crucial for advancing research in fields like genetics, genomics, and molecular biology.
Chromosomes play a vital role in cell division, heredity, and genetic disorders.
During cell division, chromosomes undergo complex processes such as replication, segregation, and condensation.
Aberrations in chromosome structure or number can lead to genetic disorders like Down syndrome, Turner syndrome, and Klinefelter syndrome.
Researchers often use specialized techniques and tools to study chromosomes.
Colcemid, a microtubule-disrupting agent, is commonly used to arrest cells in metaphase, allowing for better visualization and analysis of chromosomes.
DNA extraction kits like the QIAamp DNA Mini Kit and the DNeasy Blood & Tissue Kit are used to isolate high-quality genomic DNA, which can then be analyzed using advanced sequencing technologies like the HiSeq 2500 and HiSeq 2000.
Microscopy techniques, such as those utilizing the Vectashield mounting medium, enable the visualization and study of chromosome structure and organization.
Additionally, the Wizard Genomic DNA Purification Kit and the CytoScan HD array provide tools for chromosome analysis and detection of chromosomal abnormalities.
By leveraging these cutting-edge tools and techniques, researchers can deepen their understanding of chromosome structure, function, and their role in genetic processes, ultimately leading to advancements in fields like disease diagnosis, personalized medicine, and evolutionary biology.