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We generate these markers as the local maxima of the distance function to the background. Given the typical size of the nuclei, we pass min_distance=7 so that local maxima and, hence, markers will lie at least 7 pixels away from one another.
distance = ndi.distance_transform_edt(cells) local_max_coords = ski.feature.peak_local_max( distance, min_distance=7, exclude_border=False ) local_max_mask = np.zeros(distance.shape, dtype=bool) local_max_mask[tuple(local_max_coords.T)] = True markers = ski.measure.label(local_max_mask) segmented_cells = ski.segmentation.watershed(-distance ...
IBIO 341 Problem Set 3. You are studying a diploid organism (2N = 4) to learn more about mitosis. Gene A is on chromosome 1 and Gene B is on chromosome 2. An individual cell that is heterozygous for both gene A and B is dividing through mitosis. Match each question to its correct value.
Genetic distances measured with recombination rates are approximately additive: if the distance from gene A to gene B is 15 m.u. and the distance from gene B to gene C is 20 m.u., the distance from gene A to gene C is 35 m.u. A female mouse is heterozygous for the three linked genes described.
The mapper and mapping positions store all positions in Python coordinates, i.e. 0-based. Many users are working with data that is 1-based, such as GenBank or HGVS. Each map position type has a “to_hgvs” and “to_genbank” method for easy conversion.
(2/4) the strands recombine if there is a single crossover event and that 4 strands recombine if there is a double crossover event (even if all of the strands don’t participate, some participate more than once.) Map distance = (total rec. events / total tetrads) x 100 = [(1/2[SCO] + DCO) / total tetrads] x 100
Growth of multicellular organisms. The two daughter cells produced are genetically identical to one another ( clones) and have the same number of chromosomes as the parent cell. This enables unicellular zygotes (as the zygote divides by mitosis) to grow into multicellular organisms.
