Rubygems | Latest Versions for full_lengther_nexthttps://rubygems.org/gems2024-02-22T19:20:27Zfull_lengther_next (1.0.6)https://rubygems.org/gems/full_lengther_next/versions/1.0.62024-02-22T19:20:26ZPedro Seoane, Noe Fernandez, Dario GuerreroTool to annotate transcriptomes and it is able to stablish the integrity of each transcript. Also, FLN can detect novel genes on a target organism.
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (1.0.5)https://rubygems.org/gems/full_lengther_next/versions/1.0.52023-05-10T07:34:39ZPedro Seoane, Noe Fernandez, Dario GuerreroTool to annotate transcriptomes and it is able to stablish the integrity of each transcript. Also, FLN can detect novel genes on a target organism.
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (1.0.4)https://rubygems.org/gems/full_lengther_next/versions/1.0.42022-09-07T10:13:57ZPedro Seoane, Noe Fernandez, Dario GuerreroTool to annotate transcriptomes and it is able to stablish the integrity of each transcript. Also, FLN can detect novel genes on a target organism.
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (1.0.3)https://rubygems.org/gems/full_lengther_next/versions/1.0.32022-09-07T07:46:46ZPedro Seoane, Noe Fernandez, Dario GuerreroTool to annotate transcriptomes and it is able to stablish the integrity of each transcript. Also, FLN can detect novel genes on a target organism.
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (1.0.2)https://rubygems.org/gems/full_lengther_next/versions/1.0.22022-09-05T15:43:17ZPedro Seoane, Noe Fernandez, Dario GuerreroTool to annotate transcriptomes and it is able to stablish the integrity of each transcript. Also, FLN can detect novel genes on a target organism.
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (1.0.1)https://rubygems.org/gems/full_lengther_next/versions/1.0.12018-03-12T19:46:26ZPedro Seoane, Noe Fernandez, Dario GuerreroTool to annotate transcriptomes and it is able to stablish the integrity of each transcript. Also, FLN can detect novel genes on a target organism.
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (1.0.0)https://rubygems.org/gems/full_lengther_next/versions/1.0.02018-03-12T19:36:32ZPedro Seoane, Noe Fernandez, Dario GuerreroTool to annotate transcriptomes and it is able to stablish the integrity of each transcript. Also, FLN can detect novel genes on a target organism.
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.9.9)https://rubygems.org/gems/full_lengther_next/versions/0.9.92018-03-12T19:30:23ZPedro Seoane, Noe Fernandez, Dario GuerreroTool to annotate transcriptomes and it is able to stablish the integrity of each transcript. Also, FLN can detect novel genes on a target organism.
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.9.8)https://rubygems.org/gems/full_lengther_next/versions/0.9.82018-03-12T19:15:53ZPedro Seoane, Noe Fernandez, Dario GuerreroTool to annotate transcriptomes and it is able to stablish the integrity of each transcript. Also, FLN can detect novel genes on a target organism.
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.6.2)https://rubygems.org/gems/full_lengther_next/versions/0.6.22016-05-04T10:17:12ZPedro Seoane & Noe Fernandez & Dario Guerrero FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.6.1)https://rubygems.org/gems/full_lengther_next/versions/0.6.12016-05-03T13:15:04ZPedro Seoane & Noe Fernandez & Dario Guerrero FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.6.0)https://rubygems.org/gems/full_lengther_next/versions/0.6.02016-04-14T10:37:21ZPedro Seoane & Noe Fernandez & Dario Guerrero FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.5.7)https://rubygems.org/gems/full_lengther_next/versions/0.5.72016-02-17T11:46:13ZPedro Seoane & Noe Fernandez & Dario Guerrero FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.5.6)https://rubygems.org/gems/full_lengther_next/versions/0.5.62016-01-13T08:58:02ZPedro Seoane & Noe Fernandez & Dario Guerrero FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.0.8)https://rubygems.org/gems/full_lengther_next/versions/0.0.82012-11-28T11:26:32ZNoe Fernandez & Dario GuerreroFULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.0.6)https://rubygems.org/gems/full_lengther_next/versions/0.0.62012-04-16T10:30:12ZNoe Fernandez & Dario GuerreroFULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.0.5)https://rubygems.org/gems/full_lengther_next/versions/0.0.52012-03-09T11:31:53ZNoe Fernandez & Dario GuerreroFULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.0.2)https://rubygems.org/gems/full_lengther_next/versions/0.0.22012-02-07T13:44:27ZNoe Fernandez & Dario GuerreroFULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies. full_lengther_next (0.0.1)https://rubygems.org/gems/full_lengther_next/versions/0.0.12012-02-06T12:01:38ZNoe Fernandez & Dario GuerreroFULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies.