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MiTCR | T-cell receptor repertoire analysis software

T-cell receptor repertoire analysis software. MiTCR is an open source software package aimed at extraction of information on repertoire of T-cell clones from Next Generation Sequencing (NGS) data. It is designed with the knowledge of the critical challenges arising in everyday processing of immunological data. The most efficient and fast CDR3 extraction algorithm. Throughput for an average dataset is 50,000 reads/sec on the standard hardware). Two-stage correction of sequencing and PCR errors.

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MiTCR | T-cell receptor repertoire analysis software | mitcr.milaboratory.com Reviews
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T-cell receptor repertoire analysis software. MiTCR is an open source software package aimed at extraction of information on repertoire of T-cell clones from Next Generation Sequencing (NGS) data. It is designed with the knowledge of the critical challenges arising in everyday processing of immunological data. The most efficient and fast CDR3 extraction algorithm. Throughput for an average dataset is 50,000 reads/sec on the standard hardware). Two-stage correction of sequencing and PCR errors.
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MiTCR | T-cell receptor repertoire analysis software | mitcr.milaboratory.com Reviews

https://mitcr.milaboratory.com

T-cell receptor repertoire analysis software. MiTCR is an open source software package aimed at extraction of information on repertoire of T-cell clones from Next Generation Sequencing (NGS) data. It is designed with the knowledge of the critical challenges arising in everyday processing of immunological data. The most efficient and fast CDR3 extraction algorithm. Throughput for an average dataset is 50,000 reads/sec on the standard hardware). Two-stage correction of sequencing and PCR errors.

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MiTCR | T-cell receptor repertoire analysis software

T-cell receptor repertoire analysis software. MiTCR is an open source software package aimed at extraction of information on repertoire of T-cell clones from Next Generation Sequencing (NGS) data. It is designed with the knowledge of the critical challenges arising in everyday processing of immunological data. The most efficient and fast CDR3 extraction algorithm. Throughput for an average dataset is 50,000 reads/sec on the standard hardware). Two-stage correction of sequencing and PCR errors.

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