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TransLiG is an efficient de novo trascriptome assembler for RNA-Seq data. It can assemble all transcripts from short reads (single or paired) without using a reference. The software expects as input RNA-Seq reads in fasta or fastq format, and ouput all assembled candidate transcripts in fasta format. Briefly, it works in two step: first, TransLiG partitions the sequence data into many individual splicing graphs, each capturing the full transcriptional complexity at a given gene or no more than a few genes. Then, TransLiG repetitively phases and contracts paths over the splicing graphs, infering an optimal edge-path-cover for each graph representing the expressed transcripts of this gene locus. This software is free to use, modify, redistribute without any restrictions, except including the license provided with the distribution.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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