Overview of lr-kallisto pseudoalignment algorithm.

<p>The input consists of a reference transcriptome and reads from a long read RNA sequencing experiment. (A) An example of two reads (blue and green with unmapping regions (black) and erroneously mapped regions (purple)) and three (pink, blue, and green) overlapping transcripts. (B) An index i...

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المؤلف الرئيسي:	Rebekah K. Loving (16988427) (author)
مؤلفون آخرون:	Delaney K. Sullivan (9743992) (author), Fairlie Reese (10708149) (author), Elisabeth Rebboah (10708146) (author), Jasmine Sakr (9669246) (author), Narges Rezaie (11991104) (author), Heidi Y. Liang (13037308) (author), Ghassan Filimban (15251110) (author), Shimako Kawauchi (259746) (author), A. Sina Booeshaghi (22756289) (author), Páll Melsted (3320031) (author), Conrad Oakes (22756292) (author), Diane Trout (8190) (author), Brian A. Williams (20561777) (author), Grant R. MacGregor (11991110) (author), Barbara J. Wold (11536295) (author), Ali Mortazavi (3291591) (author), Lior Pachter (54416) (author)
منشور في:	2025
الموضوعات:	Genetics Molecular Biology Immunology Developmental Biology Cancer Biological Sciences not elsewhere classified Information Systems not elsewhere classified present bioinformatic challenges using ont data seq quantification methods throughput &# 8220 read &# 8221 kallisto </ p &# 8220 read data read datatypes produce data affordable quantification accurate quantification wide range transcript isoforms stubborn challenge similarly accurate sequencing platforms perform quantifications kallisto bulk isoform complexity genetic variation gene level exome capture definitive full cell rna become routine affordable thanks
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Overview of lr-kallisto pseudoalignment algorithm.

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