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Aptaligner: Automated Software for Aligning Pseudorandom DNA X-Aptamers from Next-Generation Sequencing Data
[Image: see text] Next-generation sequencing results from bead-based aptamer libraries have demonstrated that traditional DNA/RNA alignment software is insufficient. This is particularly true for X-aptamers containing specialty bases (W, X, Y, Z, ...) that are identified by special encoding. Thus, w...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4059528/ https://www.ncbi.nlm.nih.gov/pubmed/24866698 http://dx.doi.org/10.1021/bi500443e |
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author | Lu, Emily Elizondo-Riojas, Miguel-Angel Chang, Jeffrey T. Volk, David E. |
author_facet | Lu, Emily Elizondo-Riojas, Miguel-Angel Chang, Jeffrey T. Volk, David E. |
author_sort | Lu, Emily |
collection | PubMed |
description | [Image: see text] Next-generation sequencing results from bead-based aptamer libraries have demonstrated that traditional DNA/RNA alignment software is insufficient. This is particularly true for X-aptamers containing specialty bases (W, X, Y, Z, ...) that are identified by special encoding. Thus, we sought an automated program that uses the inherent design scheme of bead-based X-aptamers to create a hypothetical reference library and Markov modeling techniques to provide improved alignments. Aptaligner provides this feature as well as length error and noise level cutoff features, is parallelized to run on multiple central processing units (cores), and sorts sequences from a single chip into projects and subprojects. |
format | Online Article Text |
id | pubmed-4059528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-40595282015-05-27 Aptaligner: Automated Software for Aligning Pseudorandom DNA X-Aptamers from Next-Generation Sequencing Data Lu, Emily Elizondo-Riojas, Miguel-Angel Chang, Jeffrey T. Volk, David E. Biochemistry [Image: see text] Next-generation sequencing results from bead-based aptamer libraries have demonstrated that traditional DNA/RNA alignment software is insufficient. This is particularly true for X-aptamers containing specialty bases (W, X, Y, Z, ...) that are identified by special encoding. Thus, we sought an automated program that uses the inherent design scheme of bead-based X-aptamers to create a hypothetical reference library and Markov modeling techniques to provide improved alignments. Aptaligner provides this feature as well as length error and noise level cutoff features, is parallelized to run on multiple central processing units (cores), and sorts sequences from a single chip into projects and subprojects. American Chemical Society 2014-05-27 2014-06-10 /pmc/articles/PMC4059528/ /pubmed/24866698 http://dx.doi.org/10.1021/bi500443e Text en Copyright © 2014 American Chemical Society |
spellingShingle | Lu, Emily Elizondo-Riojas, Miguel-Angel Chang, Jeffrey T. Volk, David E. Aptaligner: Automated Software for Aligning Pseudorandom DNA X-Aptamers from Next-Generation Sequencing Data |
title | Aptaligner: Automated Software for Aligning Pseudorandom
DNA X-Aptamers from Next-Generation Sequencing Data |
title_full | Aptaligner: Automated Software for Aligning Pseudorandom
DNA X-Aptamers from Next-Generation Sequencing Data |
title_fullStr | Aptaligner: Automated Software for Aligning Pseudorandom
DNA X-Aptamers from Next-Generation Sequencing Data |
title_full_unstemmed | Aptaligner: Automated Software for Aligning Pseudorandom
DNA X-Aptamers from Next-Generation Sequencing Data |
title_short | Aptaligner: Automated Software for Aligning Pseudorandom
DNA X-Aptamers from Next-Generation Sequencing Data |
title_sort | aptaligner: automated software for aligning pseudorandom
dna x-aptamers from next-generation sequencing data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4059528/ https://www.ncbi.nlm.nih.gov/pubmed/24866698 http://dx.doi.org/10.1021/bi500443e |
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