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README.md

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@@ -35,12 +35,12 @@ A detailed description of the study and protocol used could be found in our [Nat
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A software pipeline that allows analysis of immune repertoire sequencing data (for both T- and B-cells) prepared using our protocol is available at GitHub. Here are the links to readme and a package containing the executable Jar. The pipeline is written using Java/Groovy and has moderate system requirements for large datasets: it will analyze a HiSeq lane in 4-5 hours on a commodity server with 8 core Intel Xeon and 36 Gb RAM.
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Raw datasets used in the study are deposed in SRA under accessions [SRP040329](http://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?study=SRP040329). The barcode sequences that are necessary for de-multiplexing and UMI extraction with Checkout utility are available [here](https://s3.amazonaws.com/files.milaboratory.com/migec/barcodes.txt). RNA for immunoglobulin heavy chain (IGH) from more than 600,000 B-cells from blood of a healthy individual was sequenced, yielding a repertoire of more than 100,000 clonotypes.
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Raw datasets used in the study are deposed in SRA under accessions [SRP040329](http://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?study=SRP040329). The barcode sequences that are necessary for de-multiplexing and UMI extraction with Checkout utility are available [here](https://github.com/mikessh/migec/blob/master/misc/barcodes.txt). RNA for immunoglobulin heavy chain (IGH) from more than 600,000 B-cells from blood of a healthy individual was sequenced, yielding a repertoire of more than 100,000 clonotypes.
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A set of spike-ins EHEB, EHEB-V1 (with one mismatch difference from EHEB-V0) and EHEB-V2 (with two mismatches) were added in order to monitor the efficiency of error filtration.
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Have a glance at the analyzed data (done with legacy MIGEC version):
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* The spreadsheet demonstrating efficient error elimination for spike-in clonotypes with known sequences [[Download](https://s3.amazonaws.com/files.milaboratory.com/migec/Exp2-spikein-table.xlsx)]
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* The spreadsheet with whole repertoire [[Download](https://s3.amazonaws.com/files.milaboratory.com/migec/Exp2-all-cdr-migec.xlsx)]
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* An interactive network of B-cell clonal trees (created using [Cytoscape](http://cytoscape.org/)) [[Download](https://s3.amazonaws.com/files.milaboratory.com/migec/Exp2-all-cdr-migec.cys)]
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* The spreadsheet demonstrating efficient error elimination for spike-in clonotypes with known sequences [[Download](https://github.com/mikessh/migec/blob/master/misc/Exp2-spikein-table.xlsx)]
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* The spreadsheet with whole repertoire [[Download](https://github.com/mikessh/migec/blob/master/misc/Exp2-all-cdr-migec.xlsx)]
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* An interactive network of B-cell clonal trees (created using [Cytoscape](http://cytoscape.org/)) [[Download](https://github.com/mikessh/migec/blob/master/misc/Exp2-all-cdr-migec.cys)]

misc/Exp2-all-cdr-migec.cys

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misc/Exp2-all-cdr-migec.xlsx

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misc/Exp2-spikein-table.xlsx

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misc/barcodes.txt

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S1 aaACTcagtggtatcaacgcagagtNNNNtNNNNtNNNN
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S2 aaAGAcagtggtatcaacgcagagtNNNNtNNNNtNNNN
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S3 aaGCCcagtggtatcaacgcagagtNNNNtNNNNtNNNN
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S4 aaGGTcagtggtatcaacgcagagtNNNNtNNNNtNNNN

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