======= History ======= Release 0.2.x ============= Release 0.2.4 (17/12/2016) -------------------------- * fix some bugs * supporting gtf and gff3 and remove ``--anno_type`` * change default theta1 as 3, meaning more flat prior. Release 0.2.3 (04/11/2016) -------------------------- * fix some bugs * change default save_sample into 0 Release 0.2.2 (29/10/2016) -------------------------- * fix some bugs * simplify the arguments * change default theta1 as 10 * change default save_sample (original sample_num) into 500 * keep transcript in diceseq results in the same order as in gtf file * To get the same default as v0.2.1, please set ``--mcmc 0 20000 1000 100 --thetas 3 None`` Release 0.2.1 (16/06/2016) -------------------------- * updated calculating TOTAL_COUNTS for pysam 0.90 * update documentary by adding more examples and tutorials Release 0.2.0 (16/05/2016) -------------------------- * fixed some bugs * cleaned some codes Release 0.1.x ============= Release 0.1.9 (29/01/2016) -------------------------- * fixed some bugs * tested the estimate of bias parameters and fragment length distribution * introduced the parallel computation, new you can run it on multiple cores * changed the format of output file for diceseq, which is easier to read * introducted the auto detection of using single-end or paired-end reads * removed the EM algorithm for buin-in, as we could easily use multiple cores to reduce running time Release 0.1.7 (21/12/2015) -------------------------- * largely improved for the case with multiple (more than 10) isoforms, and introduced EM algorithm for buin-in * extended for python 3 * improved bias estimates * not rely on h5py anymore, by design diceseq format for bias parameter and samples * introduced an out_utils.py for downstream analysis of diceseq results * fixed some bugs on paired-end reads matching and processing * removed reads simulation, as it can be done by spanki_ .. _spanki: http://www.cbcb.umd.edu/software/spanki/ Release 0.1.6 (10/11/2015) -------------------------- * slight change to be compatible with pysam 0.8.3 * change numpy.math.erf() to personally wroten erf(), as the former is not supported in numpy 1.8.2 and higher * provide the option to not save the hdf5 copy * remove dice-static for direct running Release 0.1.0 (26/10/2015) -------------------------- * probabilistic models * finished dynamic model: estimate jointly * dirrect running file * diceseq: support separated and joint estimates * dice-static: not suggested anymore. * bug fixed * reads simulation Release 0.0.x ============= Release 0.0.1 (01/09/2015) -------------------------- * first version of DICEseq * utils objects or functions * FastaFile: read and write fasta file * BiasFile: read and write bias parameters * ReadSet: get reads location index of genome region * sam_utils: load and preprocess RNA-seq reads * gtf_utils: load gtf file as list of Gene and Transcript objects * TranUnits: processing at isoform level (or transcript level) * TranSplice: processing on multiple isoforms (or gene level) * probabilistic models * static model: estimate indivually * dynamic model: estimate jointly (under study) * dirrect running file * diceseq * dice-static * dice-count * dice-simulate * dice-bias * dice-biasplot