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7 results for “CRAM”

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zenodo36/100

RELEASE-2022 and provisional data for NEON DP1.20264.001 at BARC, SUGG, CRAM, LIRO, PRLA, and PRPO

<p>NEON DP1.20264.001:&nbsp;Temperature at specific depth in surface water for BARC, SUGG, CRAM, LIRO, PRLA, and PRPO accessed on January 29, 2022 using the neonstore package on January 29, 2022. &nbsp;The following code was use to export the data from neonstore</p> <pre><code>neonstore::neon_export(archive = "neonstore.zip", product = "DP1.20264.001", table = "TSD_30_min-basic")</code></pre> <p>More information about the data product can be found here:<a href="https://data.neonscience.org/data-products/DP1.20264.001">&nbsp;https://data.neonscience.org/data-products/DP1.20264.001</a></p> <p>The data include data from RELEASE-2022 and provisional data. &nbsp;The use of provisional data necessates the generation of this Zenado object to ensure reproducibility. &nbsp;</p> <p>Citations for data:</p> <p>NEON (National Ecological Observatory Network). Temperature at specific depth in surface water (DP1.20264.001). https://data.neonscience.org (accessed January 29, 2022)</p> <p>NEON (National Ecological Observatory Network). Temperature at specific depth in surface water, RELEASE-2022 (DP1.20264.001). https://doi.org/10.48443/g7bs-7j57. Dataset accessed from https://data.neonscience.org on January 29, 2022</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

PacBio Simulation CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 2 of 2)

<p>Here we propose novel algorithms to characterize large (&gt;40&nbsp;Kbp) interspersed segmental duplications, &nbsp;(&gt; 80&nbsp;Kbp) inversions, (&gt; 100 Kbp) deletions, &nbsp;and (&gt; 100 Kbp) translocations&nbsp;using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules.</p> <p><br> Our methods rely on split molecule&nbsp;sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous.</p> <p><br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large&nbsp;<br> structural variation. We implement our new algorithms in a new software package, called VALOR2.&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo32/100

PacBio Simulation CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 1 of 2)

<p>Here we propose novel algorithms to characterize large (&gt;40&nbsp;Kbp) interspersed segmental duplications, &nbsp;(&gt; 80&nbsp;Kbp) inversions, (&gt; 100 Kbp) deletions, &nbsp;and (&gt; 100 Kbp) translocations&nbsp;using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules.</p> <p><br> Our methods rely on split molecule&nbsp;sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous.</p> <p><br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large&nbsp;<br> structural variation. We implement our new algorithms in a new software package, called VALOR2.&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo32/100

10XG CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 1 of 2)

<p>Here we propose novel algorithms to characterize large (&gt;40&nbsp;Kbp) interspersed segmental duplications, &nbsp;(&gt; 80&nbsp;Kbp) inversions, (&gt; 100 Kbp) deletions, &nbsp;and (&gt; 100 Kbp) translocations&nbsp;using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules.</p> <p><br> Our methods rely on split molecule&nbsp;sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous.</p> <p><br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large&nbsp;<br> structural variation. We implement our new algorithms in a new software package, called VALOR2.&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo32/100

Illumina CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 2 of 2)

<p>Here we propose novel algorithms to characterize large (&gt;40&nbsp;Kbp) interspersed segmental duplications, &nbsp;(&gt; 80&nbsp;Kbp) inversions, (&gt; 100 Kbp) deletions, &nbsp;and (&gt; 100 Kbp) translocations&nbsp;using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules.</p> <p><br> Our methods rely on split molecule&nbsp;sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous.</p> <p><br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large&nbsp;<br> structural variation. We implement our new algorithms in a new software package, called VALOR2.&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo32/100

Illumina CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 1 of 2)

<p>Here we propose novel algorithms to characterize large (&gt;40&nbsp;Kbp) interspersed segmental duplications, &nbsp;(&gt; 80&nbsp;Kbp) inversions, (&gt; 100 Kbp) deletions, &nbsp;and (&gt; 100 Kbp) translocations&nbsp;using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules.</p> <p><br> Our methods rely on split molecule&nbsp;sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous.</p> <p><br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large&nbsp;<br> structural variation. We implement our new algorithms in a new software package, called VALOR2.&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo24/100

10XG CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 2 of 2)

<p>Here we propose novel algorithms to characterize large (&gt;40&nbsp;Kbp) interspersed segmental duplications, &nbsp;(&gt; 80&nbsp;Kbp) inversions, (&gt; 100 Kbp) deletions, &nbsp;and (&gt; 100 Kbp) translocations&nbsp;using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules.</p> <p><br> Our methods rely on split molecule&nbsp;sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous.</p> <p><br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large&nbsp;<br> structural variation. We implement our new algorithms in a new software package, called VALOR2.&nbsp;</p>

opencc-by-4.0Dec 2019View details →

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